Impact of Functional Status on Development of Clostridioides difficile Infection and Increase in Inhospital Mortality among Antibiotic Users.

INTRODUCTION: Functional status is one of the surrogates of advanced age, an established risk factor for Clostridioides difficile infection (CDI). We aimed to investigate the usefulness of functional status in the clinical management of CDI. METHODS: We enrolled all hospitalized adult patients receiving antibiotics from a retrospective hospital-based cohort in Japan between 2016 and 2020. Using the Barthel index (BI), which is an objective scale of functional status, we investigated the association of BI with developing CDI and its impact on inhospital mortality in patients with CDI. RESULTS: We enrolled 17,131 patients with 100 cases of CDI. Multivariable analysis revealed that lower BI (≤25) was an independent risk factor for developing CDI (adjusted odds ratio, 4.11; 95% confidence interval, 2.62-6.46). Furthermore, a combination of BI and Charlson comorbidity index (CCI) showed an adjusted odds ratio of 36.40 (95% confidence interval, 17.30-76.60) in the highest risk group. A high-risk group according to the combination of BI and CCI was estimated to have significantly higher inhospital mortality in patients with CDI using the Kaplan-Meier method (p = 0.017). A combination of lower BI and higher CCI was an independent predictor of inhospital mortality even in the multivariable Cox regression model (adjusted hazard ratio, 3.00; 95% confidence interval, 1.01-8.88). CONCLUSIONS: Assessment of functional status, especially combined with comorbidities, was significantly associated with developing CDI and may also be useful in predicting inhospital mortality.

COVID-19 Mortality in the Delta Wave in India: A Hospital-Based Study From Ramanagara District, Karnataka.

INTRODUCTION: Coronavirus 19 (COVID-19) disease spread rapidly over the world since its inception in December 2019 in Wuhan, China. India too was crippled by the burden of high caseloads and deaths. The first death caused by COVID-19 in Karnataka was reported on March 13, 2020. There is a plethora of information on the descriptive statistics, epidemiology, and management of COVID-19 cases. However, there has not been an in-depth and extensive exploration of COVID-19 mortality data in terms of published research from India. The study area was a 300 bedded tertiary care center in Ramnagara district, Karnataka. During the second wave, 150 beds were dedicated to COVID-19 cases referred from government centers. This study was carried out to assess the in-hospital mortality at this institute during the second wave. The expected outcome of this study was to shed light on co-morbidities associated with mortality, the age and sex distribution in mortality, and any other significant factors influencing mortality due to COVID-19. METHODOLOGY: A hospital-based, retrospective, and observational-analytical study was carried out during April-August 2021, the second wave of COVID-19. The data included all deaths recorded in-hospital during the dedicated COVID-19 referral center status. Data were collected from case sheets and mortality audit forms that included basic demographics, symptoms, co-morbidities, admission pathway, transfer to ICU, oxygen therapy, ventilator requirement, duration of hospitalization, laboratory profile, and management modalities prior to death. Data were compiled into Microsoft Excel and were analyzed with JASP software (open source). Data were interpreted in terms of frequencies, averages with standard deviation, and bivariate and multivariate analysis. RESULTS:  We analyzed mortality audits of 91 adult patients and one neonate. The male-to-female ratio was 1.67:1 (> 60% male), with an average age of 53.4 years (standard deviation 15.4 years). Most of the patients fell in the age range of 36 to 65 years (65%). The average duration was 5.6 days (range 0-35 days). The most common symptom was fever (84, 92.31%), followed by breathlessness (77, 84.62%) and fatigue (65, 71.43%). Only 10 had a positive contact history and only one patient reported travel to a containment zone. The source of infection was indeterminate in the majority of cases. Diabetes mellitus and hypertension were the commonest associated comorbidities. Almost three-quarters of the patients were tachypneic at admission and nearly 90% had low levels which included 43 patients with critically low SpO2. The inflammatory indicators, such as WBC count, CRP, and d-dimer, were raised in many patients (WBC count raised in 40% and d-dimer, CRP raised in > 50% of cases). A striking 83% of the patients had hyperglycemia. The most common immediate cause of death pertained to the respiratory system (ARDS, refractory hypoxia, respiratory) in more than half of the patients. CONCLUSION:  This study reported the clinical and laboratory characteristics of 91 adult COVID-19 mortality cases at a teaching hospital at the peak of the Delta wave in Karnataka. While inflammatory indicators such as WBC count, CRP, and d-dimer were raised in many patients, our most remarkable finding was the high frequency of hyperglycemia. The findings of our study would contribute to enhancing the understanding of the clinical correlates and progression of COVID-19.

Association between Legionella urinary antigen tests on admission and inhospital mortality in patients with atypical pneumonia: A nationwide database study.

Background: The guidelines for the requirement of Legionella urinary antigen tests on admission for patients hospitalized with community-acquired pneumonia differ in Japan, the United States, and Europe. We aimed to evaluate the association between the timing of Legionella urinary antigen testing and inhospital mortality in patients with atypical pneumonia. Methods: We identified 654,708 patients with atypical pneumonia from July 2010 to March 2021 using the Japanese national inpatient database. The patients were divided into groups that underwent Legionella urinary antigen tests on the day of admission (test group, n = 229,649) and those that underwent testing after the day of admission or were untested (control group, n = 425,059). A propensity score-stabilized inverse probability of treatment weighting analysis was performed to compare inhospital mortality, length of hospital stay, and total hospitalization costs between the two groups. Odds ratios (ORs) or differences and their 95% confidence intervals (CIs) were calculated using generalized linear models. Results: The tested group had a significantly lower 30-day inhospital mortality than that of the control group (7.7% vs. 9.0%; OR: 0.83 [95% CIs, 0.81-0.86]). The tested group also had a significantly shorter length of stay (difference, -2.3 [-2.6 to - 2.0] days and total hospitalization costs (-396 [-508 to - 285] US dollars) than that of the control group. Conclusions: Legionella urinary antigen testing upon admission is associated with better outcomes in patients with atypical pneumonia. Legionella urinary antigen testing performed on the day of admission is recommended for hospitalized patients with atypical pneumonia.

Right Ventricular Global Longitudinal Strain and Short-Term Prognosis in Patients With First Acute Myocardial Infarction.

Right ventricular (RV) dysfunction after acute myocardial infarction (AMI) is a recognized predictor of dismal prognosis. However, the most reliable RV index to predict mortality early after revascularization remains undetermined. This study aimed to explore the ability of RV global longitudinal strain (GLS) to predict inhospital mortality in patients with first AMI. All consecutive patients with first AMI were prospectively enrolled from March 2022 until February 2023. An echocardiogram was performed 24 hours after successful revascularization and RV GLS alongside conventional echocardiographic indexes were measured. Inhospital mortality was recorded. A total of 300 patients (age 61.2 ± 11.8 years, 74% male) were included in the study. RV GLS was the only RV performance index that differed significantly between anterior and inferior ST-segment-elevation patients with AMI (14.5 ± 5.2% vs 17.4 ± 5.1% respectively, p <0.001). After revascularization, 23 patients (7.7%) died in hospital. The model of Global Registry of Acute Coronary Event risk score and left ventricular ejection fraction, built for predicting inhospital mortality, significantly improved its prognostic performance only by the addition of RV GLS (chi-square value increase by 7.485, p = 0.006) compared with the other RV function indexes. RV GLS was independently associated with inhospital mortality (odds ratio 0.83, 95% confidence interval 0.71 to 0.97, p = 0.017) after adjustment for Global Registry of Acute Coronary Event risk score and left ventricular ejection fraction. Echocardiographic RV GLS measured 24 hours after revascularization in patients with first AMI outperformed conventional RV function indexes in predicting inhospital mortality.

Smoking in Acute Myocardial Infarction Patients: Observations from a Registry Heart Hospital, Qatar.

Introduction: Studies from the US and Europe showed a decline in smoking among patients with acute myocardial infarction (AMI), but limited data are available from the Middle East. In this study, we describe the temporal trend in the prevalence, associated risk factors, and outcomes of smoking among patients with AMI in Qatar. Materials and Methods: A total of 27,648 AMI patients were analyzed from the cardiology registry at Heart Hospital, Doha, Qatar. This spans from January 1991 to May 2022. Results: Of the total, 13,562 patients (49.1%, 95% confidence interval [CI]: 48%-50%) were smokers, with a clear majority of males (98.5%). Smoking habit was found to decrease in AMI patients with increasing age (age 51-60 years, adjusted odds ratio [OR]: 0.71, 95% CI: 0.67-0.76, P = 0.001, and age ≥61 years, adjusted OR: 0.45, 95% CI: 0.42-0.48, P = 0.001, in comparison to age ≤50 years). Smoking was associated with a lower risk of inhospital mortality (adjusted OR: 0.61, 95% CI: 0.54-0.70, P = 0.001), but triglyceride, obesity, and old myocardial infarction risk factors were associated with a higher risk. A decreasing trend in current smoking habits in each quantile of the 1996-2000 year (adjusted OR: 0.82, 95% CI: 0.71-0.93, P = 0.001), 2001-2005 year (adjusted OR: 0.70, 95% CI: 0.62-0.80, P = 0.001), 2006-2010 year (adjusted OR: 0.75, 95% CI: 0.67-0.84, P = 0.001), 2011-2015 year (adjusted OR: 0.48, 95% CI: 0.42-0.54, P = 0.001), 2016-2020 year (adjusted OR: 0.48, 95% CI: 0.43-0.54, P = 0.001), and ≥2021 year (adjusted OR: 0.46, 95% CI: 0.40-0.53, P = 0.001) was observed in comparison to the quantile 1991-1995 year. Similar results were also observed in the young population (age ≤50 years) including the non-Qataris, who had 25% more smokers in comparison to Qatari nationals. Conclusion: Smoking trended down significantly; however, it remained prevalent in 50% of patients among AMI patients. Smokers were younger, with fewer traditional risk factors, and had lower inhospital mortality.

Risk Factors for Postoperative Complications and In-Hospital Mortality Following Surgery for Cervical Spinal Cord Injury.

Background and objective The operative priority in the setting of traumatic cervical spinal cord injury (SCI) is to decompress the injured spinal cord and stabilize the vertebral column. Currently, there is a relative paucity of evidence regarding associations of patient and surgical factors with in-hospital mortality following traumatic SCI. In light of this, the aim of this study was to investigate the correlation of injury, patient, and surgical factors with in-hospital morbidity and mortality. Methods The study was designed as a retrospective cohort study. The electronic medical records (EMR) at a single tertiary centre in Australia were retrospectively reviewed over a five-year period (2016-2021). All adults who were admitted to undergo emergency surgery for cervical SCI were identified and reviewed for patient factors (age, sex, comorbidities), injury factors [injury severity score (ISS), American Spinal Cord Injury Association (ASIA) classification], and surgical factors (anterior/posterior/360 instrumentation, greater than five levels instrumented, operative time). Factors were correlated to in-hospital complications (infection, pressure injury, ventilator dependency, venous thromboembolism, stroke) and in-hospital mortality by using univariate analysis and multivariable logistic regression models. Results A total of 92 patients were identified from the EMR. The median patient age was 54.5 years [interquartile range (IQR): 2.5]; 77 (82.2%) of the participants were male. The median ASIA classification was C4 ASIA C. In-hospital mortality following surgery was 6.5% (n=6). Of these patients, the primary cause of death was respiratory failure in 83.3% (n=5). In-hospital mortality was associated with anticoagulation (p=0.01), coronary disease (p=0.012), complete injury (p=0.011), and ventilator dependency (p<0.001). Postoperative pneumonia was associated with complete injury (p=0.009) and polytrauma (p=0.002). Ventilator dependency was associated with complete injuries (p<0.001) and polytrauma (p<0.001). A logistic regression analysis found complete neurological injury to be significant in predicting in-hospital mortality [odds ratio (OR): 184.53, 95% confidence interval (CI): 2.41-14106.65, p=0.018, R2=0.58]. Conclusion To improve surgical outcomes in patients with traumatic cervical SCI, a concerted effort must be made to prevent postoperative complications. Cardiovascular comorbidities present significant risk factors for patients. Patient age appears to insignificantly influence postoperative complication rates; however, this finding may have been influenced by selection bias. Postoperative respiratory complications, especially in patients with complete neurological deficits, can be particularly devastating.

Evaluation of the Overall Accuracy of the Combined Early Warning Scoring Systems in the Prediction of In-Hospital Mortality.

Introduction Deterioration of clinical condition of in-hospital patients further leads to intensive care unit (ICU) transfer or death which can be reduced by the use of prediction tools. The early warning scoring (EWS) system is a prediction tool used in monitoring medical patients in hospitals, hospital staying length, and inpatient mortality. The present study evaluated four different EWS systems for the prediction of patient survival. Method The present prospective observational study has analyzed 217 patients visiting the emergency department from November 2016 to November 2018, followed by demographic and clinical data collection. Modified Early Warning Score (MEWS), Triage Early Warning Score (TEWS), Leed's Early Warning Score (LEWS), and patient-at-risk scores (PARS) were assigned based upon body temperature, consciousness level, heart rate, blood pressure, respiratory rate, mobility, etc. Data was analyzed with the help of R 4.0.4 (R Foundation, Vienna, Austria) and Microsoft Excel (Microsoft, Redmond, Washington). Results Out of these 217 patients, 205 got shifted to a ward, and 12 died, amongst which the majority belonged to the 31-40 age group. Among patients admitted to ICU had a MEWS greater than 3, TEWS within the range 0 to 2 and 3 to 5, LEWS greater than 7, and PARS greater than 5 on the initial days of admission. The patients who died and those who were shifted to the ward showed significant differences in EWS. A significant association was observed between all the EWS and patient outcomes (p<0.001). Conclusion MEWS, TEWS, LEWS, and PARS were effective in the prediction of inpatient mortality as well as admission to the ICU. With the increase in the EWS, there was an increase in the duration of ICU stay and a decrease in chances of survival.

A retrospective cohort study of outcomes in hospitalised COVID-19 patients during the first pandemic wave in Ireland.

AIM: Describe the epidemiology, resource use and adverse outcomes of COVID-19 patients hospitalised during wave 1 of the COVID-19 pandemic in Ireland. Use this data to identify specific cohorts at high risk of adverse outcomes and to inform acute hospital requirements for future COVID-19 waves in Ireland. METHODS: The Health Service Executive's (HSE) Hospital Inpatient Enquiry (HIPE) system produced a daily database of COVID-19 discharge episodes from the onset of the COVID-19 pandemic in Ireland. This study analysed data on episodes of COVID-19 hospitalisation recorded between February 29 and July 31, 2020. A deterministic record linkage process transformed records from episode to patient level. Logistic regression modelling identified factors associated with long length of stay (LLOS), intensive care unit (ICU) admission and inhospital mortality. RESULTS: Median length of stay was 9 days; 12.8% of patients had ICU admission and 16.6% died in hospital. Male patients were more likely to have ICU admission and die in hospital. Likelihood of LLOS and inhospital mortality increased with age. Obesity, hypertension and diabetes were associated with ICU admission while chronic kidney disease and chronic obstructive pulmonary disease were associated with inhospital mortality. Nursing home residents were less likely to be admitted to ICU and more likely to die in hospital compared to patients admitted from home. CONCLUSION: This study provides patient-level epidemiological characterisation of hospitalisations during the first COVID-19 pandemic wave in Ireland. The higher risk of adverse outcomes in older age groups supports the age-based prioritisation of COVID-19 vaccinations currently used in Ireland.

A Case-Control Study of Prone Positioning in Awake and Nonintubated Hospitalized Coronavirus Disease 2019 Patients.

To determine the association between prone positioning in nonintubated patients with coronavirus disease 2019 and frequency of invasive mechanical ventilation or inhospital mortality. DESIGN: A nested case-matched control analysis. SETTING: Three hospital sites in Bronx, NY. PATIENTS: Adult coronavirus disease 2019 patients admitted between March 1, 2020, and April 1, 2020. We excluded patients with do-not-intubate orders. Cases were defined by invasive mechanical ventilation or inhospital mortality. Each case was matched with two controls based on age, gender, admission date, and hospital length of stay greater than index time of matched case via risk-set sampling. The presence of nonintubated proning was identified from provider documentation. INTERVENTION: Nonintubated proning documented prior to invasive mechanical ventilation or inhospital mortality for cases or prior to corresponding index time for matched controls. MEASUREMENTS AND MAIN RESULTS: We included 600 patients, 41 (6.8%) underwent nonintubated proning. Cases had lower Spo2/Fio2 ratios prior to invasive mechanical ventilation or inhospital mortality compared with controls (case median, 97 [interquartile range, 90-290] vs control median, 404 [interquartile range, 296-452]). Although most providers (58.5%) documented immediate improvement in oxygenation status after initiating nonintubated proning, there was no difference in worst Spo2/Fio2 ratios before and after nonintubated proning in both case and control (case median Spo2/Fio2 ratio difference, 3 [interquartile range, -3 to 8] vs control median Spo2/Fio2 ratio difference, 0 [interquartile range, -3 to 50]). In the univariate analysis, patients who underwent nonintubated proning were 2.57 times more likely to require invasive mechanical ventilation or experience inhospital mortality (hazard ratio, 2.57; 95% CI, 1.17-5.64; p = 0.02). Following adjustment for patient level differences, we found no association between nonintubated proning and invasive mechanical ventilation or inhospital mortality (adjusted hazard ratio, 0.92; 95% CI, 0.34-2.45; p = 0.86). CONCLUSIONS: There was no significant association with reduced risk of invasive mechanical ventilation or inhospital mortality after adjusting for baseline severity of illness and oxygenation status.

Sex-Specific Outcomes in Patients with Acute Coronary Syndrome.

Sex differences in patients with acute coronary syndrome (ACS) are a matter of debate. We investigated sex-specific differences in the incidence, outcomes, and related interventions in patients diagnosed with ACS in Germany over the past decade. All ACS cases from 2005 to 2015 were collected. Procedures and inhospital mortality were assessed by sex. Age-adjusted incidence rates were calculated. In total, 1,366,045 females and 2,431,501 males presenting with ACS were recorded. Females were older than males (73.1 vs. 66.4 years of age), had a longer mean hospital stay (7.7 vs. 6.9 days), and less frequently underwent coronary angiographies (55% vs. 66%) and coronary interventions (35% vs. 47%). The age-adjusted incidence rate of ACS was lower in females than in males, and decreased in both sexes from 2005 to 2015. The age-adjusted inhospital mortality rate was substantially higher in females than in males, but decreased in both sexes over time (in females, from 87 to 71 cases per 1000 person years; in males, from 57 to 51 cases per 1000 person years). In conclusion, we reported sex differences in the incidence, treatment, and outcomes of ACS patients in Germany within the past decade. Women had a substantially higher mortality rate and lower rate of coronary interventions.

The etiology and age-related properties of patients with delirium in coronary intensive care unit and its effects on inhospital and follow up prognosis.

Background and purpose: Delirium is a syndrome frequently encountered in intensive care and associated with a poor prognosis. Intensive care delirium is mostly based on general and palliative intensive care data in the literature. In this study, we aimed to investigate the incidence of delirium in coronary intensive care unit (CICU), related factors, its relationship with inhospital and follow up prognosis, incidence of age-related delirium and its effect on outcomes. Methods: This study was conducted with patients hospitalized in CICU of a tertiary university hospital between 01 August 2017 and 01 August 2018. Files of all patients were examined in details, and demographic, clinic and laboratory parameters were recorded. Patients confirmed with psychiatry consultation were included in the groups of patients who developed delirium. Patients were divided into groups with and without delirium developed, and baseline features, inhospital and follow up prognoses were investigated. In addition, patients were divided into four groups as <65 years old, 65-75 yo, 75-84 yo and> 85 yo, and the incidence of delirium, related factors and prognoses were compared among these groups. Results: A total of 1108 patients (mean age: 64.4 ± 13.9 years; 66% men) who were followed in the intensive care unit with variable indications were included in the study. Of all patients 11.1% developed delirium in the CICU. Patients who developed delirium were older, comorbidities were more frequent, and these patients showed increased inflammation findings, and significant increase in inhospital mortality compared to those who did not develop delirium (p<0.05). At median 9-month follow up period, rehospitalization, reinfarction, cognitive dysfunction, initiation of psychiatric therapy and mortality were significantly higher in the delirium group (p<0.05). When patients who developed delirium were divided into four groups by age and analyzed, incidence of delirium and mortality rate in delirium group were significantly increased by age (p<0.05). Conclusion: Development of delirium in coronary intensive care unit is associated with increased inhospital and follow up morbidity and mortality. Delirium is more commonly seen in geriatric patients and those with comorbidity, and is associated with a poorer prognosis. High-risk patients should be more carefully monitored for the risk of delirium.

Red Blood Cell Distribution Width Predicts Postoperative Death of Infective Endocarditis.

Infectious endocarditis (IE) is a rare disease with high mortality rate. Recently, red cell distribution width (RDW) has drawn special attention for predicting cardiovascular disease. This study aims to explore the relationship between RDW value and postoperative death of IE patients.Clinical records of patients with definite IE from Chinese People's Liberation Army General Hospital department of cardiovascular surgery were collected and analyzed. Clinical, echocardiographic, and biochemical variables were evaluated along with RDW.Results: A total of 158 consecutive IE patients (mean age 47.0 ± 16.3 years, male 61.4%) were enrolled in this study. According to receiver operating characteristic (ROC) curve analysis, the optimal RDW cutoff value for predicting mortality was 15.45% (area under the curve 0.913, P < 0.001). A total of 28 patients (17.8%) died postoperatively; of these, 89.3% had RDW value >15.45%. Binary regression analysis showed that aging, multiple valvular involved, valvular vegetation formation, pulmonary hypertension, and high RDW are strong predictors of postoperative death. Multiple regression analysis revealed that high RDW value was independent predictors of postoperative mortality in patients with IE (ß: 3.704, 95% confidence interval (95%CI): 2.729-604.692, P < 0.05).IE has a high inhospital mortality rate, and increased RDW is an independent predictor of postoperative death in these patients.

Predictors of mortality in acute exacerbations of chronic obstructive pulmonary disease using the dyspnea, eosinopenia, consolidation, acidemia and atrial fibrillation score.

BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are common and often fatal; however, accurate prognosis of patients hospitalized with an exacerbation is difficult. The Dyspnea, Eosinopenia, Consolidation, Acidemia, and Atrial Fibrillation (DECAF) score uses indices routinely available at the time of hospital admission and can accurately predict the inhospital mortality and outcomes in patients hospitalized with AECOPD. METHODOLOGY: A cross-sectional study was conducted in Jawaharlal Nehru Medical College, Belagavi, from January 2016 to June 2018. Consecutive patients hospitalized with an exacerbation of chronic obstructive pulmonary disease were included. DECAF indices and inhospital death rates were recorded. The prognostic value of DECAF was assessed by comparing the total score with the inhospital mortality. Statistical analysis was done using SPSS version 20. RESULTS: Two hundred and twenty-eight patients were recruited. The mean (standard deviation) age was 61.09 ± 10.6 years; 73.68% were male and 48 patients (21.05%) died in hospital. One hundred and twelve patients were identified as low risk (DECAF: 0-1) with 6 (5.4%) patients dying in the hospital and 56 patients were identified as high risk (DECAF: 3-6) with an inhospital mortality of 60.1%. Length of stay for scores of 0-1, 2, and ≥3 was 6.42, 7.47, and 9.64 days, respectively, with P < 0.05. The receiver operating characteristic curve analysis showed P < 0.001, thereby proving that the DECAF is a significant predictor of mortality in AECOPD. CONCLUSION: This study proved that with an increase in the DECAF score, the mortality among patients in AECOPD increased. The DECAF score helps clinicians predict prognosis accurately by identifying low-risk patients potentially suitable for home-based care or early hospital discharge and high-risk patients requiring escalated palliation with high-level care to improve their outcome.

The outcomes of Clostridioides difficile infection in patients with diverticular disease: a nationwide analysis.

Background: Clostridioides difficile infection (CDI) is one of the most common healthcare-associated infections. It contributes to significant morbidity and mortality among hospitalized patients in the United States. Prior studies suggest worse outcomes of CDI in patients with diverticulitis and increased risk for recurrent CDI. We conducted this study to evaluate the outcomes of CDI in patients with diverticular disease from a nationwide data sample (2012-2015).Methods: The National Inpatient Sample (NIS) database between January 2012 and September 2015 was queried for CDI admissions using the International Classification of Diseases, Ninth Edition, Clinical Modification [ICD-9-CM] codes 008.45, 562.11, 562.10, 562.12, and 562.13 for diagnoses of CDI and diverticular disease.Results: The study included 1,327,595 patients who were admitted between 2012 and 2105 for CDI. Out of all of the patients, 84,170 (6.34%) had a concurrent diagnosis of diverticular disease. After adjusting for confounding variables, the in-hospital mortality was lower [odd ratio (OR): 0.48, 95% CI: 0.44-0.52, p < .001] for patients with diverticular disease. The length of stay (LOS) was longer [10.5 versus 9.3 days, p < .001] and mean cost of hospitalization was significantly higher in patients without a history of diverticular disease.Discussion: In a nationwide population study, admissions with CDI, patients with a concurrent diagnosis of diverticular disease had lower in-hospital mortality. The observed results are different from prior studies and might be attributed to a higher burden of normal flora in those patients and increased use of antibiotic stewardship program across many hospitals nationwide.

Inpatient hospital fatality related to coding (ICD-9-CM) of the influenza diagnosis in Spain (2009-2015).

BACKGROUND: To analyze hospitalization episodes with an ICD-9 diagnosis code of influenza (codes 487 and 488) in any diagnostic position from 2009 to 2015 in the Spanish hospital surveillance system. METHODS: Information about age, length of stay in hospital, mortality, comorbidity with an influenza diagnosis code between 1 October 2009 and 30 September 2015 was obtained from the National Surveillance System for Hospital Data (Conjunto Mínimo Básico de Datos, CMBD). RESULTS: 52,884 hospital admissions were obtained. A total of 24,527 admissions corresponded to diagnoses ICD-9 code 487 (46.4%), and 28,357 (53.6%) corresponded to ICD-9 code 488. The global hospitalization rates were 8.7 and 10.6 per 100,000 people, respectively. Differences between the two diagnostic groups were found for each of the six analyzed seasons. The diagnostic ICD-9-CM 488, male gender, and high-risk patients classified by risk vaccination groups showed direct relationship with inpatient hospital death. CONCLUSIONS: Influenza diagnosis was present in a significant number of hospital admissions. The code used for diagnosis (ICD-9-CM 488), male sex, age groups and associated risk clinical conditions showed a direct relationship with inpatient hospital fatality.

Association Of Degree Of St Segment Depression With Inhospital Mortality In Patients With Non-St Elevation Myocardial Infarction.

BACKGROUND: Ischemic heart disease is responsible for approximately 1/3 of all global deaths, making it a leading cause of cardiovascular mortality. Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) which is an acute event in spectrum of coronary artery disease is a potentially lifethreatening emergency, makes up for the majority of admissions to a cardiac unit with one-year mortality rate of 23.5%. The objective of this study was to determine the association of degree of ST segment depression on hospital mortality in patients presenting with Non-ST segment elevation myocardial infarction (NSTEMI). METHODS: This descriptive case-series was carried out in the department of Cardiology, Punjab Institute of Cardiology Lahore. Using Non-probability purposive sampling technique, a total of 250 patients of age between 30-75 years of either gender, who reported during the study period, with NSTEMI were inducted in this study.. RESULTS: In our study, 33.2% (n=83) patients were between 30-50 years and 66.8% (n=167) patients were between 51-75 years of the age. Mean age was 54.64±9.69 years. 43.2% (n=108) patients were male and 56.8% (n=142) were females. Frequency of in-hospital mortality was 4.4% (n=11). Mortality increased with increasing degree of ST segment depression on admission Electrocardiogram (ECG).. CONCLUSIONS: In patients admitted with Non-ST segment elevation myocardial infarction (NSTEMI), degree of ST segment depression on admission ECG predicts In-Hospital mortality.

Potassium Fluctuations Are Associated With Inhospital Mortality From Acute Myocardial Infarction. Soroka Acute Myocardial Infarction II (SAMI-II) Project.

Potassium levels (K, mEq/L) fluctuate in patients with acute myocardial infarction (AMI). Potassium was reported to be associated with prognosis in patients with AMI; however, studies evaluating the prognostic value of K fluctuations in this setting are scarce. We retrospectively analyzed patients with AMI hospitalized in a tertiary medical center, through 2002 to 2012. Patients on chronic dialysis or mechanical ventilation were excluded. Based on all K values during hospitalization, minimal, maximal, and fluctuation (gap between 2 consecutive K) were recorded. Primary outcome was inhospital all-cause mortality. Overall, 10 032 patients were studied (age 68.1 ± 14.3 years, 65.4% males, 44.2% ST-segment elevation MI), of which 507 (3.7%) died in hospital. Potassium decreased during the first 2 to 3 days ( P for trend <.001), followed by stabilization ( P for trend = .807). Potassium in the extreme categories (<3.8 and ≥4.7) and absolute fluctuations >0.1 mEq/L were more common among nonsurvivors than survivors ( P < .001 each). In a multivariate analysis, combinations of minimal K <3.8 with maximal K ≥4.7 (odds ratio [OR] = 18.1), K ≥4.4 with fluctuation ≥0.1 (OR = 1.74), or <-0.1 (OR = 2.6) and minimal K after the first 2 admission days (OR = 2.07) were associated with increased risk of mortality ( P < .001 each). Potassium fluctuations, peak and nadir K, and its timing independently predict inhospital mortality in patients with AMI.

Factores pronósticos en adultos hospitalizados por neumonía causada por Legionella pneumophila / Prognostic factors in adult patients hospitalized for pneumonia caused by Legionella pneumophila

Introduction: Legionellosis is a multisystem bacterial disease, which causes pneumonia with high mortality in patients with comorbidity and admitted in intensive care units (ICU). Objective: Determine predictors of mortality or ICU admission. Methods: Retrospective follow-up of patients diagnosed with Legionella pneumophila pneumonia in Complexo Hospitalario Universitario de A Coruña. Period 2000-2013 (n = 240). Analysis of multivariate logistic regression was performed. Results: Mean age was 57.2 ± 15.4 years old, 88.3% were male. Average score of comorbidity (Charlson score) was 2.3 ± 2.3. There was a clear seasonal variation. Predominant symptoms were fever (92.5%), dry cough (38.1%) and dyspnea (33.9%). Creatinine clearance was lower than 60 mL/min/1.73 m² in 29.7% and sodium < 135 mEq/l in 58.3%. Admission to ICU rate was 16.3% and 10.8% needs mechanical ventilation. Inhospital mortality rate was 4.6%, rising to 23.1% in patients admitted to ICU. Variables associated to predict ICU admission were age (OR = 0.96), liver disease (OR = 7.13), dyspnea (OR = 4.33), delirium (OR = 5.86) and high levels of lactatedehydrogenase (OR = 1.002). Variables associated with inhospital mortality were Charlson index (OR = 1.70), mechanical ventilation (OR = 31.44) and high levels of lactatedehydrogenase (OR = 1.002). Discussion: Younger patients with liver disease, dyspnea and confusion are more likely to be admitted to ICU. Comorbidity, mechanical ventilation and elevated LDH levels are associated with higher mortality rate.

Introducción: La legionelosis es una enfermedad bacteriana multisistémica, causante de neumonías con mortalidad elevada en pacientes con comorbilidad e ingresos en Unidad de Cuidados Intensivos (UCI). Objetivo: Determinar factores pronósticos de mortalidad o ingreso en UCI. Material y Métodos: Estudio de seguimiento retrospectivo de pacientes diagnosticados de neumonía por Legionella pneumophila en Complexo Hospitalario Universitario de A Coruña (España). Período 2000-2013 (n = 240), con análisis de regresión logística multivariada. Resultados: La edad media fue 57,2 ± 15,4 años, 88,3% fueron hombres. La puntuación media de comorbilidad (score Charlson) fue 2,3 ± 2,3. Existe clara estacionalidad. La clínica predominante fue fiebre (92,5%), tos seca (38,1%) y disnea (33,9%). El 29,7% presentó aclaramiento de creatinina < 60 mL/min/1,73 m² y el 58,3% sodio < 135 mEq/l. Un 16,3% ingresó en UCI, precisando ventilación mecánica invasiva el 10,8%. La mortalidad global fue 4,6% y de 23,1% en ingresados en UCI. Variables asociadas para predecir ingreso en UCI fueron menor edad (OR = 0,96), hepatopatía (OR = 7,13), disnea (OR = 4,33), síndrome confusional (OR = 5,86) y lactato deshidrogenasa elevada (OR = 1,002). Las variables asociadas a mortalidad intrahospitalaria fueron índice de Charlson (OR = 1,70), ventilación mecánica invasiva (OR = 31,44) y cifras elevadas de lactato deshidrogenasa (OR = 1,002). Discusión: Pacientes jóvenes, con hepatopatía, disnea o confusión tienen más probabilidad de ingresar en UCI. Comorbilidad, ventilación mecánica y lactato deshidrogenasa elevada se asocian a mortalidad.

Trends in incidence, management, and outcomes of cardiogenic shock complicating ST-elevation myocardial infarction in the United States.

BACKGROUND: Limited information is available on the contemporary and potentially changing trends in the incidence, management, and outcomes of cardiogenic shock complicating ST-elevation myocardial infarction (STEMI). METHODS AND RESULTS: We queried the 2003-2010 Nationwide Inpatient Sample databases to identify all patients ≥ 40 years of age with STEMI and cardiogenic shock. Overall and age-, sex-, and race/ethnicity-specific trends in incidence of cardiogenic shock, early mechanical revascularization, and intra-aortic balloon pump use, and inhospital mortality were analyzed. From 2003 to 2010, among 1 990 486 patients aged ≥ 40 years with STEMI, 157 892 (7.9%) had cardiogenic shock. The overall incidence rate of cardiogenic shock in patients with STEMI increased from 6.5% in 2003 to 10.1% in 2010 (P(trend)<0.001). There was an increase in early mechanical revascularization (30.4% to 50.7%, P(trend)<0.001) and intra-aortic balloon pump use (44.8% to 53.7%, P(trend)<0.001) in these patients over the 8-year period. Inhospital mortality decreased significantly, from 44.6% to 33.8% (P(trend)<0.001; adjusted OR, 0.71; 95% CI, 0.68 to 0.75), whereas the average total hospital cost increased from $35 892 to $45 625 (P(trend)<0.001) during the study period. There was no change in the average length of stay (P(trend)=0.394). These temporal trends were similar in patients <75 and ≥ 75 years of age, men and women, and across each racial/ethnic group. CONCLUSIONS: The incidence of cardiogenic shock complicating STEMI has increased during the past 8 years together with increased use of early mechanical revascularization and intra-aortic balloon pumps. There has been a concomitant decrease in risk-adjusted inhospital mortality, but an increase in total hospital costs during this period.

Validación del euroSCORE en la valoración del riesgo quirúrgico en un centro de referencia cardiovascular en Colombia / Validation of the EuroSCORE in assessing surgical risk in a Cardiovascular referral center in Colombia

Introducción y objetivos: El euroSCORE es el modelo predictivo de mortalidad en cirugía cardiovascular de mayor aceptación en todo el mundo. El objetivo del presente estudio fue validar estadísticamente este modelo tanto en sus variantes logística como aditiva, en un centro de referencia para cirugía cardiovascular en Colombia. Métodos: Estudio retrospectivo; se incluyeron a los pacientes de cirugía cardiaca mayor intervenidos durante los años 2007 a 2009 en el centro. Se determinó para cada paciente el riesgo de muerte tanto con el euroSCORE aditivo como con el logístico; se validó a partir de su capacidad de calibración y discriminación para comparar la mortalidad predicha con la observada, de manera global y para cada grupo de riesgo. Resultados: Se incluyeron 498 pacientes, 226 (45%) correspondientes a cirugía de revascularización miocárdica aislada y el resto a otras cirugías cardiovasculares mayores. La calibración del modelo fue de p = 0.8 para el aditivo y de 0.2 para el logístico. Las áreas bajo la curva receiver operating characteristic fueron de 0.85 para ambos modelos. La mortalidad global observada alcanzó el 7.03% mientras que la estimada fue 5.34% por el modelo logístico y 4.47% con el aditivo. Conclusiones: La predicción fue buena con los dos modelos, tanto de manera global como dentro de cada categoría de riesgo; el modelo logístico fue el más aproximado a la mortalidad observada. El euroSCORE ha sido validado satisfactoriamente en este centro de referencia en Colombia y los resultados permiten calificar bien el desempeño del programa de cirugía cardiovascular en este centro.

Introduction and objectives: The euroSCORE is the predictive model of mortality in cardiovascular surgery more accepted worldwide. The objective of the present study was to statistically validate this model in both its logistic and additive variants in a cardiovascular referral center in Colombia. Methods: We included patients undergoing major cardiac surgery consecutively during the period of years 2007 and 2009 in the center. The risk of death was determined separately for each patient for both the additive euroSCORE and the logistic model. The capacity calibration of the model and its discrimination were calculated by comparing the observed with the predicted mortality, both overall and for each risk group. Results: Were included 498 patients, 226 (45%) of isolated CABG, and the rest other major cardiovascular surgical procedures. The calibration of the model was satisfactory (p = 0.8 and 0.2 additive and logistic). The discrimination was calculated with an area under the curve AUC of 0.85 for both models. The overall mortality reached 7.03% while 5.34% was estimated by the logistic model, and 4.47% with the additive one. The prediction was good with the two models both for overall and within each risk category, but it was more accurate in the logistic model. Conclusions: The euroSCORE has been successfully validated in this cardiovascular referral center. The results allow us to properly qualify the performance of this cardiovascular surgery program of Colombia.