Effect of early continuous renal replacement therapy on in-hospital mortality of patients with sepsis / 中华急诊医学杂志

Objective:To investigate the effect of early continuous renal replacement therapy (CRRT) within 24 h on in-hospital mortality in patients with sepsis.Methods:This study retrospectively analyzed the patients diagnosed as sepsis in the Emergency Intensive Care Unit of the First Affiliated Hospital of Wenzhou Medical University from January 2013 to December 2017. According to the prognosis, the patients were divided into the survival group and death group. The clinical baseline data of the two groups were compared, and multivariate logistic regression analysis was performed to screen out the risk factors of death in patients with sepsis and evaluate the effect of CRRT on mortality. According to whether CRRT was performed within 24 h after admission, the patients were divided into the CRRT group and non-CRRT group to compare fluid balance.Results:Among the 612 patients, 416 (67.9%) patients were male, the median age was 66 years; 362 patients survived and 250 patients died, with a mortality rate of 40.8%. Multivariate logistic regression analysis showed that the independent risk factors for death in patients with sepsis were: sex, simplified acute physiology score Ⅱ, sequential organ failure assessment, lactate, procalcitonin, and complicated with chronic obstructive pulmonary disease. Multivariate logistic regression analysis showed that patients received CRRT within 24 h had a higher risk of mortality ( OR=1.981 95% CI: 1.120-3.504, P=0.019). There was a statistically significant difference in fluid balance between the CRRT group and the non-CRRT group on the first day ( P<0.05), and there was no significant difference in total fluid balance in the first 3 days ( P>0.05). Conclusions:Early CRRT within 24 h cannot reduce the in-hospital mortality of patients with sepsis. The failure of CRRT which did not timely correct the volume overload state of patients with sepsis after fluid resuscitation may affect the outcome.

Risk Factors for in-Hospital Mortality in Patients with Takotsubo Syndrome / 中山大学学报(医学科学版)

ObjectiveTo analyze the risk factors for in-hospital mortality in patients with Takotsubo Syndrome （TTS）. MethodsHospitalization data of consecutive patients with TTS from February 2009 to January 2022 were retrospectively collected and analyzed. Patients were divided into survival group and death group according to outcomes. The basic clinical information， triggering factors， laboratory examinations， electrocardiogram， echocardiography， complications and treatments of the two groups were compared. Univariable logistic regression analysis was used to screen the possible risk factors for in-hospital mortality in TTS patients， and multivariable logistic regression analysis was used to determine the independent risk factors for in-hospital mortality in TTS patients. ResultsA total of 62 TTS patients were included in our study， including 21 males （33.9%）， 41 females （66.1%） and 26 postmenopausal women （41.9%）， with the mean age of （55.6±16.2） years， and physical triggers were found in 50 patients （80.6%）. 17 patients （27.4%） died while 45 patients （72.6%） survived during hospitalization. The death group had lower systolic blood pressure and left ventricular ejection fraction （LVEF）， higher incidence rate of syncope， higher level of N-terminal pro-B natriuretic peptide （NT-proBNP） and hypersensitive troponin T （hs TnT） when compared with survival group （all P value <0.05）. As for the triggering factors， the proportion of TTS induced by neurologic disorders in the death group was higher than that in the survival group （P<0.05）. The death group had higher rates of cardiogenic shock， malignant ventricular arrhythmia， atrial fibrillation， and respiratory failure （all P value <0.05）. Compared with the survival group， therapeutic dopamine， therapeutic norepinephrine， hemodialysis and mechanical ventilation were higher in the death group （all P value <0.05）. Univariable logistic regression analysis suggested that syncope， NT-proBNP， LVEF， neurologic disorders， cardiogenic shock， malignant ventricular arrhythmia， atrial fibrillation， respiratory failure， therapeutic dopamine， therapeutic norepinephrine， hemodialysis and mechanical ventilation were potential risk factors for in-hospital mortality in TTS patients （all P value <0.05）. Multivariable logistic regression analysis indicated that neurologic disorders ［OR（95%CI）=5.651（1.195，26.715），P=0.029］， atrial fibrillation ［OR（95%CI）=6.217（1.276，30.298）， P=0.024）］ and therapeutic norepinephrin ［OR（95%CI）=8.847（1.912，40.949）， P=0.005］ were independent risk factors for in-hospital mortality in TTS patients. ConclusionsNeurologic disorders， atrial fibrillation and therapeutic norepinephrin are independent risk factors for in-hospital mortality in patients with Takotsubo Syndrome. Clinically， attention should be paid to the prevention and treatment of neurologic disorders and atrial fibrillation； norepinephrine should be carefully used in patients with diagnosed TTS complicated with hemodynamic instability.

24th hour vasoactive inotrope score is associated with poor outcome in adult cardiac surgery

SUMMARY OBJECTIVE: The aim of this study was to investigate the efficacy of vasoactive inotrope score at the 24th postoperative hour for mortality and morbidity in elective adult cardiac surgery. METHODS: Consecutive patients who underwent elective adult coronary artery bypass and valve surgery in a single tertiary center for cardiac surgery between December 2021 and March 2022 were prospectively included. The vasoactive inotrope score was calculated with the dosage of inotropes that were continuing at the 24th postoperative hour. Poor outcome was defined as any event of perioperative mortality or morbidity. RESULTS: The study included 287 patients, of whom 69 (24.0%) were on inotropes at the 24th postoperative hour. The vasoactive inotrope score was higher (21.6±22.5 vs. 0.94±2.7, p=0.001) in patients with poor outcome. One unit increase in the vasoactive inotrope score had an odds ratio of 1.24 (95% confidence interval: 1.14-1.35) for poor outcome. The receiver operating characteristic curve of vasoactive inotrope score for poor outcome had an area under the curve of 0.857. CONCLUSION: Vasoactive inotrope score at the 24th hour can be a very valuable parameter for risk calculation in the early postoperative period.

To investigate the postoperative complications and mortality after reoperative cardiac surgery: an analysis of 146 cases / 中华胸心血管外科杂志

Objective:To investigate the postoperative complications and in-hospital mortality of reoperative cardiac surgery, and to explore the feasibility and safety of reoperative cardiac surgery.Methods:The baseline data and clinical information of patients undergoing cardiac surgery in Nanjing First Hospital from November 2012 to November 2021 were retrospectively conducted, and they were divided into the reoperative cardiac surgery group and the primary surgery group according to whether they underwent reoperative cardiac surgery using a propensity score analysis. The intraoperative indicators, postoperative complications and in-hospital mortality were compared between the two groups after matching.Results:After propensity score analysis, 146 cases were included in each of the group. In terms of intraoperative indicators, the cardiopulmonary bypass time [(141.48±47.88)min vs.(105.31±33.56)min], aortic occlusion time [87.0(70.5, 113.3)min vs. 71.5(53.0, 92.0)min], ICU stay time[2( 1, 4)days vs. 2(1, 2)days], postoperative drainage volume [750(460, 1300)ml vs. 610(410, 840)ml], postoperative transfusion of red blood cells [0(0, 3.5)U vs. 0(0, 2)U], the reoperative cardiac surgery group increased with statistically significant differences( P<0.05). Postoperative complications, the two groups had postoperative hypoxemia [15(10.3%) vs. 6(4.1%)], acute kidney injury [10(6.8%) vs. 0(0)], postoperative infection [24(16.4%) vs. 4(2.7%)], cerebral complications [7(4.8%) vs. 1(0.7%)] )], the incidence rate in the reoperative cardiac surgery group was higher with statistically significant differences( P<0.05). There was no significant difference in in-hospital mortality[7(4.8%) vs. 4(2.8%)]( P>0.05). Conclusion:The time of reoperative cardiac surgeryis is longer, postoperative recovery is slower, and postoperative complication rate is higher, but does not increase in-hospital mortality.

Analysis of risk factors affecting in-hospital mortality in patients with acute mesenteric ischemia / 中华消化杂志

Objective:To investigate the risk factors affecting in-hospital mortality in patients with acute mesenteric ischemia (AMI).Methods:From January 1, 2014 to June 30, 2022, the clinical data of 67 patients diagnosed with AMI at Renmin Hospital of Wuhan University were retrospectively analyzed, which included basic data (age, gender, past medical history and comorbidities, etc.), laboratory results (white blood cell count (WBC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, prothrombin time (PT), etc.), and imaging manifestations (intestinal pneumatosis, intestinal wall thickening, intestinal dilation, ascites). The clinical data of AMI patients who died during hospitalization were compared with that of AMI patients who survived. Binary logistic regression was used to analyze the independent risk factors of in-hospital mortality in patients with AMI. Mann-Whitney U test and chi-square test were used for statistical analysis. Results:Among the 67 patients with AMI, 17 died and 50 survived. There were significant differences between died and survived patients with AMI in age, the proportion of patients with organ failure, WBC, ALT, AST, creatinine, PT, and the proportion of patients with intestinal dilatation and ascites (76 years old(68 years old, 79 years old) vs. 61 years old (50 years old, 74 years old), 12/17 vs.12.0%(6/50), 15.8×10 9/L(13.5×10 9/L, 23.7×10 9/L) vs. 12.1×10 9/L (9.1×10 9/L, 19.4×10 9/L), 32.0 U/L(19.0 U/L, 88.5 U/L) vs. 20.5 U/L(14.8 U/L, 29.0 U/L), 64.0 U/L(33.8 U/L, 117.0 U/L) vs. 26.0 U/L (18.5 U/L, 36.8 U/L), 135.0 μmol/L(61.5 μmol/L, 198.5 μmol/L) vs. 73.5 μmol/L(60.5 μmol/L, 85.0 μmol/L), 13.7 s(12.9 s, 16.3 s) vs. 12.7 s (11.9 s, 13.6 s), 13/17 vs. 38.0%(19/50), 10/17 vs. 24.0% (12/50); Z=3.06, χ2=22.16, Z=2.01, 2.69, 4.08, 2.45 and 2.78, χ2=7.53 and 6.98; P=0.002, <0.001, =0.044, =0.007, <0.001, =0.014, =0.006, =0.006 and =0.008). The results of binary logistic regression analysis showed that age ( OR=1.224, 95% confidence interval 1.011 to 1.482, P=0.038), organ failure ( OR=113.989, 95% confidence interval 1.353 to 9 604.644, P=0.036), and ascites ( OR=348.289, 95% confidence interval 1.676 to 72 357.934, P=0.032) were independent risk factors of in-hospital mortality in AMI patients. Conclusion:Age, organ failure and ascites are independent risk factors of in-hospital mortality in AMI patients.

Effect of enteral nutritional support on clinical outcomes of patients with sepsis / 中华危重病急救医学

Objective:To research whether clinical outcomes of patients with sepsis can be improved by higher enteral nutritional support.Methods:A retrospective cohort method was applied. 145 patients with sepsis who were hospitalized in intensive care unit (ICU) of Peking University Third Hospital from September, 2015 to August, 2021 and met inclusion criteria as well as exclusion criteria were selected, including 79 males and 66 females, the median age was 68 (61, 73). Researchers evaluated whether there was correlation between improved modified nutrition risk in critically ill score (mNUTRIC), daily energy intake and protein supplement of patients and their clinical outcomes through Poisson log-linear regression analysis and Cox regression analysis.Results:The median of mNUTRIC score of 145 hospitalized patients was 6 (3, 10), wherein 70.3% of patients (102 cases) were in high-score group (≥ 5 scores) and 29.7% of patients (43 cases) were in low-score group (< 5 scores); the average of daily protein intake in ICU was about 0.62 (0.43, 0.79) g·kg -1·d -1, and the average of daily energy intake was about 64.4 (48.1, 86.2) kJ·kg -1·d -1. As shown by Cox regression analysis, increase of mNUTRIC score, sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) were correlated to growth of in-hospital mortality [hazard ratio ( HR) = 1.12, 95% confidence interval (95% CI) was 1.08-1.16, P = 0.006; HR = 1.04, 95% CI was 1.01-1.08, P = 0.030; HR = 1.08, 95% CI was 1.03-1.13, P = 0.023]. Higher average daily intake of protein and energy as well as lower mNUTRIC, SOFA, and APACHE Ⅱ scores were also significantly correlated to lower 30-day mortality ( HR = 0.45, 95% CI was 0.25-0.65, P < 0.001; HR = 0.77, 95% CI was 0.61-0.93, P < 0.001; HR = 1.10, 95% CI was 1.07-1.13, P < 0.001; HR = 1.07, 95% CI was 1.02-1.13, P = 0.041; HR = 1.15, 95% CI was 1.05-1.23, P = 0.014); however, there was no significant correlation between gender as well as number of complications and in-hospital mortality. Within 30 days of attack of sepsis, the average daily intake of protein and energy were not correlated to days of non-ventilator ( HR = 0.66, 95% CI was 0.59-0.74, P = 0.066; HR = 0.78, 95% CI was 0.63-0.93, P = 0.073). Increase of patients' average daily intake of protein and energy were significantly correlated to a lower in-hospital mortality ( HR = 0.41, 95% CI was 0.32-0.50, P < 0.001; HR = 0.87, 95% CI was 0.84-0.92, P < 0.001), shorter ICU stay ( HR = 0.46, 95% CI was 0.39-0.53, P < 0.001; HR = 0.82, 95% CI was 0.78-0.86, P < 0.001), and hospital stay ( HR = 0.51, 95% CI was 0.44-0.58, P < 0.001; HR = 0.77, 95% CI was 0.68-0.88, P < 0.001). According to correlation analysis, among patients with mNUTRIC score ≥ 5, increasing daily intake of protein and energy can reduce in-hospital mortality ( HR = 0.44, 95% CI was 0.32-0.58, P < 0.001; HR = 0.73, 95% CI was 0.69-0.77, P < 0.001), and 30-day mortality ( HR = 0.51, 95% CI was 0.37-0.65, P < 0.001; HR = 0.90, 95% CI was 0.85-0.96, P < 0.001); the receiver operator characteristic curve (ROC curve) further confirmed that higher protein intake had good predictive value for inpatient mortality area under the curve (AUC) = 0.96 and 30-day mortality (AUC = 0.94); higher emergy intake had good predictive value for inpatient mortality (AUC = 0.87) and 30-day mortality (AUC = 0.83). By contrast, among patients with mNUTRIC score < 5, it is only discovered that increasing daily intake of protein and energy can reduce 30-day mortality of patients ( HR = 0.76, 95% CI was 0.69-0.83, P < 0.001). Conclusions:The increase of average daily intake of protein and energy for patients with sepsis is significantly correlated to reduction of in-hospital mortality and 30-day mortality, shorter ICU stay, and hospital stay. The correlation is more significant in patients with high mNUTRIC score, and higher intake of protein and energy can bring down in-hospital mortality and 30-day mortality. As for patients with low mNUTRIC score, nutritional support cannot improve prognosis of the patients significantly.

Risk factors of in-hospital death in severe pneumonia patients receiving enteral nutrition support / 中华临床营养杂志

Objective:The decline in nutritional status in patients with severe pneumonia may contribute to an increase in in-hospital mortality. Enteral nutrition support can improve the nutritional status of patients, and is relatively easy to manage, with low cost and fewer serious complications. On the other hand, adverse reactions such as gastric retention and gastric microbiota translocation may increase the incidence of nosocomial pneumonia and increase the uncertainty of patient prognosis. There is no predictive model for in-hospital death in severe pneumonia patients receiving enteral nutrition support. The objective of this study was to investigate the risk factors of in-hospital death in patients with severe pneumonia receiving enteral nutrition support and to establish a prognostic model for such patients.Methods:This was a single-center retrospective study. Patients with severe pneumonia who were hospitalized in Peking Union Medical College Hospital and received enteral nutrition support were included from January 1, 2015 to December 31, 2020. The primary endpoints were in-hospital mortality rate and unordered discharge rate. The independent risk factors were determined using univariate and multifactorial logistic regression analysis, the nomogram scoring model was constructed, and the decision curve analysis (DCA) was performed.Results:A total of 632 severe pneumonia patients who received enteral nutrition support were included. Patients were divided into death and survival groups according to the presence or absence of in-hospital death, and 24 parameters were found with significant differences between groups. Nine parameters were independent predictors of mortality, namely the duration of ventilator use, the presence of malignant hyperplasia diseases, the maximal levels of platelet and prothrombin during hospitalization, and the nadir levels of alanine aminotransferase, serum albumin, sodium, potassium, and blood glucose. Based on these variables, a risk prediction scoring model was established (ROC = 0.782; 95% CI: 0.744 to 0.819, concordance index: 0.772). Calibration curves, DCA, and clinical impact curve were plotted to evaluate the goodness of function, accuracy, and applicability of the predictive nomogram, using the training and test sets. Conclusion:This study summarized the clinical characteristics of patients with severe pneumonia receiving enteral nutrition support and developed a scoring model to identify risk factors and establish prognostic models.

Clinical Profile and Predictors of In-Hospital Mortality in Septic Shock Patients in a Tertiary Care Hospital.

strong>Background: Sepsis and Septic shock contributes to significant morbidity and mortality in hospitalized patients. Early detection and initiation of early and appropriate antibiotic therapy determines the outcome in septic shock. The objective of this research was to describe clinical profile of septic shock patients and to determine various predictors of in-hospital mortality in septic shock patients which could be assessed from simple hematological parameters. Methods: This was a prospective observational study done over a period of one year in which a total of 145 adult patients with septic shock diagnosed as per American College of Chest Physicians (ACCP) and the Society for Critical Care Medicine (SCCM) criteria (2016) admitted in medicine ward in a tertiary care hospital were included. Detailed history and clinical examination was done and various routine investigations such as Complete hemogram, Neutrophil to lymphocyte ratio(NLR), Platelet to lymphocyte ratio(PLR), Liver function tests, Renal function tests, C-reactive protein and Blood gases including lactate levels at admission were determined and compared among survivors and non-survivors to assess in hospital mortality predictors. Results: A total of 145 patients with septic shock were studied. Most of the patients were males (55.2%). Majority were from rural areas (59.31%). Major co-morbidities included diabetes mellitus (24.8%), COPD (13.1%) and hypertension (11%). Fever was the most common presentation (34.5%). Mortality in septic shock was 30.3%. The most common source of infection leading to septic shock was scrub typhus (33.8%) followed by respiratory infections and skin infections. The highest mortality was seen in the age group of 60-69 years. Patients who were given primary care and stabilized in a primary or secondary health centre and then referred had a better survival (77.2%) as compared to those who directly visited the tertiary care centre in a sick state. Out of various mortality predictors studied, a strong positive correlation of mortality was seen among patients with thrombocytopenia i.e. platelet count (86.4%), hypoalbuminemia (78.6%), high neutrophil to lymphocyte ratio, high C-reactive protein values(74%) and high mean platelet volume. Conclusion: There is high prevalence of tropical infections such as Scrub typhus in Himachal and even simple investigations like Complete haemogram, Serum albumin levels, C-reactive protein and Total serum bilirubin levels which are routinely done in health care centers correlate significantly with mortality in septic shock. These investigations can guide appropriate antibiotic therapy and appropriate timing of referral of patients to higher centers, hence can improve the outcome among septic shock patients.

Clinical profile and etiological spectrum of acute symptomatic seizures in the elderly populace

Aim: The current study aimed to analyze the etiology and the clinical spectrum of acute symptomatic seizures (ASS) and the predictors of in-hospital mortality in the elderly population. Materials and Methods: We evaluated 94 elderly (?60 years of age) hospitalized patients with ASS for clinical profile, etiologies, and predictors of in?hospital mortality. Results: Mean age of onset of ASS was 67.63 ± 11.48 years. The main seizure type was focal seizure in 62 (59.7%) cases, followed by tonic?clonic seizures in 30 (31.9%) cases. The most common aetiologies in ASS were stroke in 61.7%, followed by infective cause in 30.9% of cases. In?hospital mortality in the ASS in the elderly was 21 (22.3%) in our series, and stroke was the most common cause of mortality. Conclusion: Stroke was the most common etiology of ASS in the elderly and was also related to mortality. It is necessary for us to analyze the causes of ASS in the elderly, to reduce in hospital mortality.

Cuantificación de la carga viral en el tracto respiratorio superior en pacientes con COVID-19 al ingreso hospitalario y su asociación con la gravedad de la enfermedad / Upper respiratory tract viral load quantification in COVID-19 patients at hospital admission and its association with disease severity

Resumen Introducción: Aún se desconocen aspectos de la patogenia de COVID-19. Objetivo: Determinar la relación entre gravedad, mortalidad y replicación viral en pacientes con COVID-19. Métodos: Se analizaron características clínicas, gravedad de la enfermedad y mortalidad de 203 pacientes hospitalizados por COVID-19 y se correlacionaron con carga viral (CV) y ciclo umbral (Ct) al ingreso; se tomó hisopado nasofaríngeo. Resultados: Las CV medias en los pacientes sobrevivientes fueron las siguientes ante enfermedad leve a moderada, moderada a grave y grave: 6.8 × 106, 7.6 × 107 y 1.0 × 109; y en los pacientes con enfermedad crítica que fallecieron, la CV fue de 1.70 × 109. Los Ct fueron 26.06, 24.07, 22.66 y 21.78 para esos mismos grupos. En quienes fallecieron se observó mayor CV media al ingreso en comparación con quienes sobrevivieron (1.7 × 109 versus 9.84 × 106), p < 0.001. Se evidenció correlación significativa entre CV, gravedad y muerte (r = 0.254, p < 0.045 y r = 0.21, p < 0.015). La CV alta se asoció a mayor mortalidad intrahospitalaria en comparación con la CV baja (RM = 2.926, p < 0.017). Conclusión: La CV de SARS-CoV-2 determinada al ingreso hospitalario podría calificar el riesgo simultáneamente con otros factores descritos en COVID-19.

Abstract Introduction: There are aspects of COVID-19 pathogenesis that are still unknown. Objective: To determine the relationship between severity, mortality and viral replication in patients with COVID-19. Methods: Clinical characteristics, severity and mortality of 203 patients hospitalized for COVID-19 were analyzed and correlated with viral load (VL) and threshold cycle (TC) at admission; nasopharyngeal swab was obtained. Results: Mean VLs in surviving patients with mild to moderate, moderate to severe and severe disease were the following: 6.8 × 106, 7.6 × 107 and 1.0 × 109, respectively; and in patients with critical disease who died, VL was 1.70 × 109. TCs were 26.06, 24.07, 22.66 and 21.78 for the same groups. In those who died, a higher mean VL was observed at admission in comparison with those who survived (1.7 × 109 vs 9.84 × 106; p < 0.001). A significant correlation was observed between VL, severity and death (r = 0.254, p < 0.045 and r = 0.21, p < 0.015). High VL was associated with increased in-hospital mortality in comparison with low VL (OR = 2.926, p < 0.017). Conclusion: SARS-CoV-2 VL determined at hospital admission might classify risk simultaneously with other factors described in COVID-19.

Hyperglycemia in hospitalized patients of a tertiary care hospital: prevalence and treatment in two cross-sectional evaluations (2011-2020)

ABSTRACT Objective: A study at Centro Hospitalar Universitário do Porto in 2011 revealed suboptimal control of inpatient hyperglycemia and a similar one was carried out in 2020. This study compares the results of 2011 and 2020 regarding prevalence of hyperglycemia, metabolic control, treatment and glycemic profile by infection/non-infection diagnosis. Subjects and methods: We performed two cross-sectional studies on 13th December 2011 and 9th October 2020 that included all non-critical adults with at least 24 hours of hospitalization, with no specific intervention between them. Glycemic control evaluated by minimum and maximum capillary blood glucose (CBG) in the previous day categorized as hypoglycemia (<70 mg/dL), normoglycemia (70-179 mg/dL) and hyperglycemia (≥180 mg/dL) (SPSS v.20). Results: A total of 418 and 445 patients were respectively included in 2011 and 2020 studies and the prevalence of hyperglycemia was similar. Glycemic control improved numerically although not significantly in 2020: increase in normoglycemia, reduction in hyperglycemia and reduction in hypoglycemia. There was an increase in the use of basal-bolus regimens (19.6% vs. 7.3%, p = 0.009) and a decrease in human basal (p < 0.01) and rapid-acting insulin use (p = 0.001) with a proportional increase in long-acting (p = 0.002) and rapid-acting analogs (p < 0.001) use. There was a higher prevalence of infection (39.8% vs. 23.1%, p = 0.006) in 2020 and, in the infection subgroup, there were higher insulinization rates (37.3% vs. 10.7%, p = 0.017) and a trend to glycemic control improvement. Conclusion: Despite the higher insulinization rates, the preference for new insulin analogs and a trend to better glycemic control, we have not yet reached targets, so education still remains necessary.

Diagnostic value of early bedside ultrasound measurement of quadriceps femoris on in-hospital mortality of septic patients / 中华危重病急救医学

Objective:To investigate the changes of quadriceps femoris thickness with the length of stay in intensive care unit (ICU) in patients with sepsis, and to evaluate the diagnostic value of muscle changes in mortality.Methods:A prospective study was conducted, and 92 patients with sepsis who were admitted to the ICU of the Affiliated Hospital of Jining Medical College from January 2020 to December 2021 were enrolled. The thickness of quadriceps femoris [including the quadriceps femoris muscle thickness at the midpoint of the anterior superior iliac spine and the upper edge of the patella (M-QMLT), and at the middle and lower 1/3 of the patella (T-QMLT)] measured by ultrasound 1 day (D1), 3 days (D3), and 7 days (D7) after admission to the ICU were collected. The atrophy rate of quadriceps femoris was calculated 3 and 7 days after admission to the ICU compared with 1 day [(D3-D1)/D1 and (D7-D1)/D1, (TD3-TD1)/TD1 and (TD7-TD1)/TD1, respectively]. The demographic information, underlying diseases, vital signs when admission to the ICU and in-hospital mortality of all patients were recorded, and the differences of the above indicators between the two groupswere compared. Multivariate Logistic regression was used to analyze the influence of quadriceps femoris muscle thickness and atrophy rate on in-hospital mortality of septic patients. The receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of quadriceps femoris muscle thickness and atrophy rate on in-hospital mortality of septic patients.Results:A total of 92 patients with severe sepsis were included, of which 41 patients died in hospital, 51 patients discharged. The in-hospital mortality was 44.6%. The muscle thickness of quadriceps femoris in severe septic patients decreased with the prolongation of ICU stay, and there was no significant difference between the two groups at the first and third day of ICU admission. The muscle thickness of quadriceps femoris at different measuring positions in the survival group was significantly greater than those in the death group 7 days after admission to the ICU [M-QMLT D7 (cm): 0.50±0.26 vs. 0.39±0.19, T-QMLT D7 (cm): 0.58±0.29 vs. 0.45±0.21, both P < 0.05]. The atrophy rate of quadriceps femoris muscle thickness at different measuring positions 3 and 7 days after admission to ICU in the survival group was significantly lower than those in the death group [(D3-D1)/D1: (8.33±3.44)% vs. (9.74±3.91)%, (D7-D1)/D1: (12.21±4.76)% vs. (19.80±6.15)%, (TD3-TD1)/TD1: (7.83±4.26)% vs. (10.51±4.75)%, (TD7-TD1)/TD1: (11.10±5.46)% vs. (20.22±6.05)%, all P < 0.05]. Multivariate Logistic regression analysis showed that M-QMLT D7, T-QMLT D7, (D3-D1)/D1, (D7-D1)/D1, (TD3-TD1)/TD1, (TD7-TD1)/TD1 were independent risk factors for in-hospital mortality (all P < 0.05). The results were stable after adjusting for confounding factors. ROC curve analysis showed that (TD7-TD1)/TD1 [area under the ROC curve (AUC) was 0.853, 95% confidence interval (95% CI) was 0.773-0.934] was superior to (D7-D1)/D1, T-QMLT D7, M-QMLT D7, (TD3-TD1)/TD1 and (D3-D1)/D1 [AUC was 0.821 (0.725-0.917), 0.692 (0.582-0.802), 0.683 (0.573-0.794), 0.680 (0.569-0.791), 0.622 (0.502-0.742)]. Conclusions:For septic patients in ICU, bedside ultrasound monitoring of quadriceps femoris muscle thickness and atrophy rate has a certain predictive value for in-hospital mortality, and a certain guiding significance in clinical treatment and predicting the prognosis of sepsis.

Value of nomogram in early prediction of death in patients post extracorporeal membrane oxygenation / 中华危重病急救医学

Objective:To construct an early predictive model for the death of patients after extracorporeal membrane oxygenation (ECMO) based on the baseline information of patients and laboratory indicators.Methods:The clinical data of 139 patients who underwent ECMO in Affiliated Jinhua Hospital, Zhejiang University School of Medicine from January 2015 to December 2021 were collected, including age, gender, primary disease, ECMO model, other clinical characteristics, and laboratory indicators 2 hours after establishment of ECMO. The patients were divided into training cohort ( n = 111) and validation cohort ( n = 28) according to a ratio of 4∶1. The least absolute shrinkage and selection operator (Lasso) regression and multivariate Logistic regression were used to select predictive factors, and a nomogram was used to establish the predictive model. The calibration and discrimination of the model were assessed using the receiver operator characteristic curve (ROC curve), the calibration curve and Kaplan-Meier analysis. Results:Four predictive variables including anion gap (AG), lactic acid (Lac), arterial partial pressure of oxygen (PaO 2), and serum amylase (AMY) 2 hours after ECMO were selected from 34 laboratory indicators by Lasso regression. These variables and three other clinically important factors [primary diseases, ECMO model, and acute kidney injury (AKI)] were analyzed using multivariate Logistic regression (forward: LR method), Finally, four strong predictive factors (Lac-2 h, PaO 2-2 h, AMY-2 h, and primary diseases) for mortality were used to construct a nomogram [the area under ROC curve (AUC) was 0.85, 95% confidence interval (95% CI) was 0.78-0.92]. The optimal cut-off value of the ROC curve was 0.398 based on the maximum principle of the Youden index, corresponding to 80.2% accuracy, 89.1% sensitivity, and 68.1% specificity. The validation cohort with an in-hospital mortality of 64.3% was used to verify the performance of the model by ROC curve and Kaplan-Meier analysis. According to the optimal cut-off value of the ROC curve (0.398), the validation cohort was divided into low- and high-risk groups. Based on this model, the survival probability of the low-risk group was significantly higher than that of the high-risk group ( P = 0.018), indicating this model had good discriminative ability in the validation cohort. Based on this model, the AUC of the validation cohort was 0.76, 95% CI was 0.58-0.94, and the accuracy rate was 71.43%, which indicated this model showed good calibration consistency. Conclusions:The predictive model incorporating Lac-2 h, PaO 2-2 h, AMY-2 h, and primary diseases may be significant for predicting the in-hospital mortality of patients undergoing ECMO.

Research progress of in-hospital mortality risk model in patients with acute myocardial infarction / 中华危重病急救医学

The incidence of in-hospital death in acute myocardial infarction (AMI) is high, which seriously threatens the life and health of patients. At present, many countries and regions have established a variety of objective assessment models for predicting the in-hospital mortality of patients with AMI, providing important decision-making support for patients with different risk levels when formulating treatment plans. With the rise of artificial intelligence, many new modeling methods also show certain advantages over the traditional models. This article systematically introduces the commonly used and newly constructed risk prediction models for in-hospital mortality of AMI, in order to provide help for medical staff to assist decision-making in clinical practice, and provide reference for the establishment of a safe and more effective risk prediction model in the future.

Comparison of the predictive value of the Oxford acute severity of illness score and simplified acute physiology score Ⅱ for in-hospital mortality in intensive care unit patients with sepsis: an analysis based on MIMIC-Ⅳ database / 中华危重病急救医学

Objective:To compare the predictive value of Oxford acute severity of illness score (OASIS) and simplified acute physiology score Ⅱ (SAPSⅡ) for in-hospital mortality in intensive care unit (ICU) patients with sepsis.Methods:A retrospective cohort study was conducted using the data in the Medical Information Mart for Intensive Care-Ⅳ0.4 (MIMIC-Ⅳ 0.4). Based on Sepsis-3 diagnostic criteria, the basic information of ICU adult sepsis patients with infection and sequential organ failure assessment (SOFA) score ≥ 2 within 24 hours of ICU admission admitted for the first time in the database was extracted, including gender, age, vasopressor drugs, sedative drugs, mechanical ventilation, renal replacement therapy, length of ICU stay, OASIS, SAPSⅡ scores, etc. The primary outcome was in-hospital mortality. A receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to compare the prognostic value of OASIS score and SAPSⅡ score.Results:A total of 11 098 adult ICU sepsis patients were enrolled in the final analysis, of which 2 320 died and 8 778 survived in hospital, with a mortality of 20.90%. Compared with the survivors, the non-survivors were older [years old: 71 (60, 81) vs. 67 (56, 78)], had longer length of ICU stay [days: 6.95 (3.39, 13.07) vs. 4.23 (2.19, 9.73)] and higher proportions of using vasopressor drugs, sedative drugs, mechanical ventilation and renal replacement therapy [vasopressor drugs: 50.65% (1 175/2 320) vs. 33.05% (2 901/8 778), sedative drugs: 58.53% (1 358/2 320) vs. 48.41% (4 249/8 778), mechanical ventilation: 89.57% (2 078/2 320) vs. 81.66% (7 168/8 778), renal replacement therapy: 11.98% (278/2 320) vs. 6.57% (577/8 778), all P < 0.01]. Moreover, the non-survivors had higher OASIS score [43 (36, 49) vs. 35 (29, 41), P < 0.01] and SAPSⅡ score [49 (40, 60) vs. 38 (31, 47), P < 0.01] as compared with the survivors. ROC curve analysis showed that the AUC of OASIS score and SAPSⅡ score for predicting in-hospital death of ICU patients with sepsis was 0.713 [95% confidence interval (95% CI) was 0.701-0.725] and 0.716 (95% CI was 0.704-0.728), respectively, and the Delong test showed no significant difference in AUC between the two scoring systems ( P > 0.05). Conclusions:OASIS score has a good predictive value for in-hospital mortality in sepsis patients, which is similar to SAPSⅡ score. OASIS score is simpler and has a broader clinical application prospect than SAPSⅡ score.

Characteristics of hospitalised COVID-19 patients during the first two pandemic waves, Gauteng

Background: Gauteng province (GP) was one of the most affected provinces in the country during the first two pandemic waves in South Africa. We aimed to describe the characteristics of coronavirus disease 2019 (COVID-19) patients admitted in one of the largest quaternary hospitals in GP during the first two waves. Objectives: Study objectives were to determine factors associated with hospital admission during the second wave and to describe factors associated with in-hospital COVID-19 mortality. Method: Data from a national hospital-based surveillance system of COVID-19 hospitalisations were used. Multivariable logistic regression models were conducted to compare patients hospitalised during wave 1 and wave 2, and to determine factors associated with in-hospital mortality.Results: The case fatality ratio was the highest (39.95%) during wave 2. Factors associated with hospitalisation included age groups 40­59 years (adjusted odds ratio [aOR]: 2.14, 95% confidence interval [CI]: 1.08­4.27), 60­79 years (aOR: 2.49, 95% CI: 1.23­5.02) and ≥ 80 years (aOR: 3.39, 95% CI: 1.35­8.49). Factors associated with in­hospital mortality included age groups 60­79 years (aOR: 2.55, 95% CI: 1.11­5.84) and ≥ 80 years (aOR: 5.66, 95% CI: 2.12­15.08); male sex (aOR: 1.56, 95% CI: 1.22­1.99); presence of an underlying comorbidity (aOR: 1.76, 95% CI: 1.37­2.26), as well as being admitted during post­wave 2 (aOR: 2.42, 95% CI: 1.33­4.42). Conclusion: Compared to the recent omicron-driven pandemic waves characterised by lower admission rates and less disease severity among younger patients, COVID-19 in-hospital mortality during the earlier waves was associated with older age, being male and having an underlying comorbidity.

Relationship of in-hospital mortality and using intra-aortic balloon pump with extracorporeal cardiopulmonary resuscitation in patients with cardiac arrest: a secondary analysis based on literature data / 中华危重病急救医学

Objective:To assess the effect of intra-aortic balloon pump (IABP) on in-hospital mortality in patients with cardiac arrest undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:A retrospective study was performed on 696 patients with intra-hospital cardiac arrest undergoing ECPR from Samsung Medical Center in Korea between January 2004 and December 2013. According to whether IABP was used, the patients were divided into ECPR group and ECPR+IABP group. Cox regression and propensity score matching (PSM) were used to examine the correlation between IABP usage and in-hospital mortality, and standardized mean difference ( SMD) was used to check the degree of PSM. Survival analysis of in-hospital mortality was performed by the Kaplan-Meier method, and further analyzed by the Log-Rank test. Using the propensity score as weights, multiple regression model and inverse probability weighting (IPW) model were used for sensitivity analysis. In-hospital mortality, extracorporeal membrane oxygenation (ECMO) withdrawal success rate and neurological function prognosis were compared between the two groups. Results:A total of 199 patients with cardiac arrest undergoing ECPR were included, including 120 males and 79 females, and the average age was (60.0±16.8) years. Thirty-one patients (15.6%) were treated with ECPR and IABP, and 168 patients (84.4%) only received ECPR. The total hospitalized mortality was 68.8% (137/199). The 1 : 1 nearest neighbor matching algorithm was performed with the 0.2 caliper value. The following variables were selected to generate propensity scores, including age, gender, race, marital status, insurance, admission type, service unit, heart rate, mean arterial pressure, respiratory rate, pulse oxygen saturation, white blood cell count. After the propensity score matching, 24 pairs of patients were successfully matched, with the average age of (63.0±12.8) years, including 31 males and 17 females. The in-hospital mortality was 72.6% (122/168) and 48.4% (15/31) in the ECPR group and the ECPR+IABP group [hazard ratio ( HR) = 0.48, 95% confidence interval (95% CI) was 0.28-0.82, P = 0.007]. Multiple regression model, adjusted propensity score, PSM and IPW model showed that the in-hospital mortality in the ECPR+IABP group was significantly lower compared with the ECPR group ( HR = 0.44, 0.50, 0.16 and 0.49, respectively, 95% CI were 0.24-0.79, 0.28-0.91, 0.06-0.39 and 0.31-0.77, all P < 0.05). The combined application of IABP could improve the ECMO withdrawal success rate [odds ratio ( OR) = 8.95, 95% CI was 2.72-29.38, P < 0.001] and neurological prognosis ( OR = 4.06, 95% CI was 1.33-12.40, P = 0.014) in adult cardiac arrest patients. Conclusion:In patients with cardiac arrest using ECPR, the combination of IABP was independently associated with lower in-hospital mortality, higher ECMO withdrawal success rate and better neurological prognosis.

Comparison of different versions of the quick sequential organ failure assessment for predicting inhospital mortality of sepsis patients: A retrospective observational study / 世界急诊医学杂志（英文）

@#BACKGROUND: The quick sequential organ failure assessment (qSOFA) is recommended to identify sepsis and predict sepsis mortality. However, some studies have recently shown its poor performance in sepsis mortality prediction. To enhance its effectiveness, researchers have developed various revised versions of the qSOFA by adding other parameters, such as the lactate-enhanced qSOFA (LqSOFA), the procalcitonin-enhanced qSOFA (PqSOFA), and the modified qSOFA (MqSOFA). This study aimed to compare the performance of these versions of the qSOFA in predicting sepsis mortality in the emergency department (ED). METHODS: This retrospective study analyzed data obtained from an electronic register system of adult patients with sepsis between January 1 and December 31, 2019. Receiver operating characteristic (ROC) curve analyses were performed to determine the area under the curve (AUC), with sensitivity, specificity, and positive and negative predictive values calculated for the various scores. RESULTS: Among the 936 enrolled cases, there were 835 survivors and 101 deaths. The AUCs of the LqSOFA, MqSOFA, PqSOFA, and qSOFA were 0.740, 0.731, 0.712, and 0.705, respectively. The sensitivity of the LqSOFA, MqSOFA, PqSOFA, and qSOFA were 64.36%, 51.40%, 71.29%, and 39.60%, respectively. The specificity of the four scores were 70.78%, 80.96%, 61.68%, and 91.62%, respectively. The LqSOFA and MqSOFA were superior to the qSOFA in predicting in-hospital mortality. CONCLUSIONS: Among patients with sepsis in the ED, the performance of the PqSOFA was similar to that of the qSOFA and the values of the LqSOFA and MqSOFA in predicting in-hospital mortality were greater compared to qSOFA. As the added parameter of the MqSOFA was more convenient compared to the LqSOFA, the MqSOFA could be used as a candidate for the revised qSOFA to increase the performance of the early prediction of sepsis mortality.

Estratificación de riesgo en pacientes con infarto agudo de miocardio mediante el uso de varias escalas

RESUMEN Introducción: Existen varias escalas a nivel mundial en la predicción de riesgo de los pacientes con infarto, pero aún no se ha encontrado la "escala ideal". Objetivos: Determinar la capacidad de discriminación para la mortalidad hospitalaria por infarto agudo de miocardio de las escalas GRACE, TIMI Risk Score, InTIME e ICR. Método: Se realizó un estudio prospectivo en el Servicio de Cardiología del Hospital General Docente Dr. Ernesto Guevara de la Serna de Las Tunas, Cuba, entre 2018 y 2019. El universo estuvo conformado por 452 pacientes ingresados en las primeras 24 horas del infarto y la muestra, por 430 casos a los cuales se les pudo recoger la totalidad de las variables en estudio. Se utilizó la estadística descriptiva. Para determinar la capacidad de discriminación de la escalas de riesgo se determinaron sensibilidad, especificidad y área bajo la curva. Resultados: El 70% de los pacientes fallecidos eran del sexo masculino y su media de edad fue 10 años mayor que en los egresados vivos. La hipertensión arterial fue el factor asociado más frecuente tanto en los pacientes fallecidos (90%) como en los egresados vivos (73.4%). El 70% de los fallecidos presentaron algún grado de disfunción sistólica del ventrículo izquierdo. El área bajo la curva de las escalas ICR, InTIME y GRACE fue de 0,683; 0,681 y 0,662, respectivamente. El TIMI Risk Score presentó un área bajo la curva de 0,598. Conclusiones: Las escalas ICR, InTime y GRACE presentaron pobre capacidad predictiva para la mortalidad hospitalaria. La escala TIMI Risk Score presentó una fallida capacidad predictiva.

ABSTRACT Introduction: There are several scores worldwide for risk stratification in patients with myocardial infarction, but the "ideal score" has not yet been found. Objectives: To determine the discriminatory capacity of GRACE, TIMI Risk Score, InTIME and ICR scores for in-hospital mortality due to acute myocardial infarction. Method: A prospective study was carried out in the Department of Cardiology of the Hospital General Docente Dr. Ernesto Guevara de la Serna of Las Tunas, Cuba, between 2018 and 2019. The study's population consisted of 452 patients admitted in the first 24 hours after myocardial infarction, and the sample consisted of 430 cases from which all the variables under study could be collected. Descriptive statistics were used. Sensitivity, specificity and area under the curve were determined to be able to determine the discriminatory capacity of the risk scores as well. Results: The 70% of the deceased patients were male and their mean age was 10 years older than in the patients discharged alive. High blood pressure was the most frequent associated risk factor in both deceased patients (90%) and in those who left the hospital alive (73.4%). The 70% of deaths had certain degree of left ventricular systolic dysfunction. The area under the curve of ICR, InTIME and GRACE scores was of 0.683; 0.681 and 0.662 respectively. TIMI Risk Score had an area under the curve of 0.598. Conclusions: ICR, InTime and GRACE scores had poor predictive capacity for in-hospital mortality. TIMI Risk Score had a very poor predictive capacity.

In-hospital mortality in patients with acute limb ischemia over a 12-year period in the Brazilian public health-care system / Mortalidade hospitalar na saúde pública brasileira em pacientes com isquemia aguda dos membros em um período de 12 anos

Abstract Background Arterial diseases represent a severe public health problem in the 21st century. Although men have a higher overall prevalence, reports have suggested that women may exhibit atypical manifestations, be asymptomatic, and have hormonal peculiarities, resulting in worse outcomes and severe emergencies, such as acute limb ischemia (ALI). Objectives To analyze the morbidity and mortality profile of ALI emergencies in Brazil between 2008 and 2019. Methods An ecological study was carried out with secondary data from SIH/SUS, using ICD-10 code I.74 The proportions of emergency hospital admissions and in-hospital mortality rates (HMR) by gender, ethnicity, and age were extracted from the overall figures. P<0.05 was considered significant. Results From 2008 to 2019, there were 195,567 urgent hospitalizations due to ALI in Brazil, 111,145 (56.8%) of which were of men. Women had a higher HMR (112:1,000 hospitalizations) than men (85:1,000 hospitalizations) (p<0.05), and a higher chance of death (OR=1.36; p<0.05). Furthermore, mean survival was significantly higher among men (8,483/year versus 6,254/year; p<0.05). Stratified by ethnicity, women who self-identified as white (OR=1.44; p<0.05), black (OR=1.33; p<0.05), and brown (RR=1.25; p <0.05) had greater chances of death than men in the same ethnicity categories. Moreover, women over the age of 50 years had a higher chance of death, with a progressive increment in risk as age increased. Conclusions There was a trend to worse prognosis in ALI emergencies associated with women, especially in older groups. The literature shows that the reasons for these differences are still poorly investigated and more robust studies of this relevant disease in the area of vascular surgery are encouraged.

Resumo Contexto Doenças arteriais representam um grave problema de saúde pública no século XXI. Apesar de homens apresentarem maior prevalência geral, estudos sugerem que mulheres podem cursar com quadros assintomáticos, clínica atípica e particularidades hormonais, que resultam em desfechos desfavoráveis e urgências graves, como oclusões arteriais aguda (OAA). Objetivos Analisar o perfil de morbimortalidade das urgências em OAA no Brasil entre 2008 e 2019. Métodos Realizou-se estudo ecológico com dados secundários do Sistema de Informações Hospitalares/Sistema Único de Saúde, utilizando-se o código I.74 do Código Internacional de Doenças-10. Dos números absolutos, obteve-se proporções de internamentos de urgência e taxa de mortalidade intra-hospitalar (TMH) por gênero, etnia e idade. Considerou-se p < 0,05 significativo. Resultados Entre 2008 e 2019, houve 195.567 internamentos de urgência por OAA no Brasil, dos quais 111.145 (56,8%) eram homens. Mulheres tiveram maior TMH (112:1.000 hospitalizações) em comparação a homens (85:1.000 hospitalizações) (p < 0,05), assim como maior chance de morte (odds ratio [OR] = 1,36; p < 0,05). Ademais, a média de sobrevida anual foi maior entre homens do que entre mulheres (8.483/ano vs. 6.254/ano, respectivamente; p < 0,05). Estratificando por etnia, mulheres apresentaram maior chance de óbitos entre brancas (OR = 1,44; p < 0,05), pretas (OR = 1,33; p < 0,05) e pardas (razão de risco [RR] = 1,25; p < 0,05), comparadas a homens das mesmas etnias. Nas análises etárias, mulheres com mais de 50 anos apresentaram maior chance de óbito, com aumento progressivo do risco com o envelhecimento. Conclusões Nossas análises comparativas evidenciaram tendência de pior prognóstico nas urgências em OAA associadas a mulheres, sobretudo em grupos de idade avançada. A literatura evidencia que as razões para essas diferenças ainda são pouco estudadas, estimulando investigações mais robustas sobre essa importante casuística da cirurgia vascular.