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Objective:To assess the differences of the 2016 and 2009 edtion guidelines on diastolic dysfunction in sepsis patients.Methods:A single-center, prospective study was conducted. The relevant information of sepsis patients in Intensive Care Unit (ICU) were analyzed from October 2016 to January 2019. Patients’ transthoracic echocardiography at the first 24 h and 3rd day of their admission and left ventricular diastolic dysfunction were stratified according to the 2009 and 2016 edition guidelines. Patients’ characteristics, arterial blood gas analysis, and blood biochemical indexes were recorded at the first 24 h of the ICU admission. Additionally, the following information were retrieved during ICU stay: site of infection, frequency of adrenaline and dobutamine, maximal dose of norepinephrine, use of hydrocortisone, invasive mechanical ventilation and renal replacement therapy. The rank-sum test of two independent samples was used to compare the differences in the diagnosis of left ventricular diastolic dysfunction.Results:A total of 196 patients with sepsis or septic shock were screened, and 86 patients were excluded. Finally, clinical data of 110 patients were included in the analysis.The median time of the first ultrasound examination in ICU was 17 h. Among the patients with different diastolic function severity in baseline data analysis, only age was significantly different. According to the 2016 edition guidelines, 43 (39%) of 110 patients had diastolic dysfunction and another 30 (27%) had indeterminate diastolic dysfunction within 24 h of ICU admission. According to the 2009 edition guidelines, 40 (36%) patients had diastolic dysfunction and 58 (53%) patients had indeterminate diastolic dysfunction. The diagnosis of left ventricular diastolic dysfunction of different grades was significantly different between the 2016 and 2009 edition guidelines ( Z=4.92, P<0.01). According to the 2016 edition guidelines at the 3rd day of ICU admission, 52 (47%) patients were diagnosed with diastolic dysfunction and 18 (18%) were diagnosed with indeterminate diastolic dysfunction; According to the 2009 edition guidelines, 50 (46%) of these patients were diagnosed with diastolic dysfunction and 45 (41%) had indeterminate diastolic function. Similarly, there was a large difference in diagnosis ( Z=4.60, P<0.01). Subgroup analysis of patients with normal systolic function (ejection fraction > 50%) showed that the diagnosis of left ventricular diastolic dysfunction were significantly different at the first 24 h and the 3rd day of ICU admission ( Z=4.34, P<0.01 and Z=5.71, P<0.01). Conclusions:The 2016 edition guidelines identify a significantly higher incidence of dysfunction in patients with severe sepsis and septic shock compared to the 2009 edition guidelines. Although the 2016 edition guidelines seem to be an improvement, issues remain with the application of guidelines using traditional measures of diastolic dysfunction in this cohort.
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Objective To investigate the prognostic impact of left ventricular diastolic dysfunction in septic shock patients in intensive care unit (ICU). Methods A single-center, prospective tudy was conducted. The relevant information of septic shock patients who underwent an echocardiographic assessment during the initial management were analyzed in ICU of Harrison International Peace Hospital Affiliated to Hebei Medical University from June 2016 to October 2017. Hemodynamics were evaluated using transthoracic echocardiography within the first 24 h of shock, and LV diastolic dysfunction is present if the available parameters meet the cutoff values. Patients' characteristics, arterial blood gas analysis, and blood biochemical indexes were recorded in the first 24h at ICU admission. Additionally, the following information were retrieved during ICU stay: site of infection, frequency of adrenaline and dobutamine, maximal dose of norepinephrine, use of hydrocortisone, invasive mechanical ventilation and renal replacement therapy. A multivariate analysis was performed to determine independent risk factors associated with septic shock mortality, and the receiver operating characteristic curve (ROC) was drawn to evaluate the predictive value of all risk factors on the outcome of patients. Results Among the 138 patients with septic shock hospitalized in the ICU during the study period, 102 patients were enrolled [76 men (75％); aged 64 ± 12 years] and 92 of them (90％) were mechanically ventilated. Thirty patients died in ICU with a mortality rate of 29％. LV diastolic dysfunction was observed in 32 patients (31％). No significant inter-group difference in infection characteristics was found. The death group had significantly higher APACHE Ⅱ score, SOFA score, lactate and creatinine levels than the survival group. Similarly, the death group received a greater dose of vasopressors and required more frequent administration of epinephrine than the survivors. While the dead group exhibited slightly yet significantly larger RV cavity, which was reflected by a significant greater RVEDA/LVEDA ratio (0.77 ± 0.43 vs 0.59 ± 0.17) with no association with paradoxical septal motion. Mean value of lateral e′ maximal velocity was significantly lower in the death group compared with the survival group(10.50 ± 3.80)cm/s vs (12.9 ± 4.6)cm/s. The proportion of LV diastolic dysfunction tended to be higher in the death group than in the survival group (14/30 vs 18/72). In the multivariate analysis, the maximal dose of norepinephrine (OR=1.69, 95％CI:1.05-2.79), the SOFA score(OR=2. 24,95％CI:1.32-3.35) ,e′ lateral maximal velocity (OR=2.23, 95 ％ CI:1.01-5.57), lactate(OR=2.36, 95％CI:1.25-5.43) and LV diastolic dysfunction(OR=1.32,95％CI:1.11-3.15) were significantly associated with septic shock mortality. The area under ROC curve of lateral e′ maximal velocity for predicting death of septic shock patients was 0.63 (95％CI: 0.54-0.78) and the cut-off value was 8.9 cm/s, with a sensitivity and specificity of 76％ and 54％, respectively. Conclusions The present study suggests that LV diastolic function might be associated with ICU mortality in patients with septic shock. A multicenter prospective study assessing a large cohort of patients using serial echocardiographic examinations remains to confirm the prognostic value of LV diastolic dysfunction in septic shock patients.
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Objective To investigate the detection and distribution of hospitalized specimens from a tertiary hospital over 5 years. Methods Specimens of sputum, urine, blood, secretions and puncture fluid were collected from patients admitted to the Harrison International Peace Hospital from November 2013 to November 2018. The origin of specimens, the distribution of departments and the distribution of pathogenic bacteria isolated were analyzed retrospectively. Results A total of 61 286 specimens were sent for examination during the 5 years. The top 5 specimens were sputum culture (n = 18 302, 29.9%), sputum smear (n = 11 253, 18.4%), blood culture (n = 9 713, 15.8%), urine culture (n = 6 448, 10.5%) and secretion culture (n = 6 133, 10.0%), accounting for 84.6% (51 849/61 286). Sputum specimens accounted for 48.2% (29 555/61 286) with the largest proportion. The number of specimens from medical wards was much higher than that from surgical wards (specimens: 25 468 vs. 10 521), respiratory medicine, department of critical care medicine and emergency intensive care unit (EICU) were important sources of pathogenic specimens in the hospital, accounting for 29.8% (18 243/61 286) in total. The average positive rate of all specimens was 23.5% (14 424/61 286). The positive rates of sputum culture and urine culture were 29.7% (5 428/18 302) and 35.4% (2 281/6 448), respectively, while the positive rate of blood culture was only 6.6% (643/9 713). Escherichia coli was the most common pathogen in all specimens except for sputum culture and fecal culture. Escherichia coli [40.6% (926/2 281)], Klebsiella pneumoniae [9.2% (210/2 281)], Pseudomonas aeruginosa [8.2% (188/2 281)], Enterococcus faecalis (group D) [6.6% (151/2 281)] and Candida albicans [3.2% (73/2 281)] were the most common pathogens in urine culture. Klebsiella pneumoniae [24.1% (1 309/5 428)], Acinetobacter baumannii [21.3% (1 154/5 428)], Pseudomonas aeruginosa [15.1% (818/5 428)], Escherichia coli [6.5% (351/5 428)] and Maltose oligotrophomonas maltose [5.8% (316/5 428)] were the most common pathogens in sputum culture. Escherichia coli [36.5% (235/643)], Klebsiella pneumoniae [10.9% (70/643)], Pseudomonas aeruginosa [4.8% (31/643)], Staphylococcus epidermidis [3.4% (22/643)] and Staphylococcus humanis [3.3% (21/643)] were the most common pathogens in blood culture. Conclusion Specimens sent for examination by inpatients are mainly from internal medicine wards, mainly from sputum, blood and urine, and the detected pathogens are mainly Gram-negative bacteria.
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Objective To investigate the mortality risk factors of nosocomial infection patients in intensive care unit (ICU), and to guide clinicians to take effective control measures. Methods A retrospectively cohort study was conducted. The relevant information of patients with nosocomial infection treated in ICU of Hengshui Harrison International Peace Hospital Affiliated to Hebei Medical University from June 2009 to December 2015 was analyzed. The patients who admitted to ICU again, with length of ICU stay less than 48 hours, without first etiology of screening within 48 hours of ICU admission, or without complete pathogenic information were excluded. The gender, age, diagnosis, length of ICU stay, invasive operation, nutritional status, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score, distribution and drug resistance of the pathogens, and procalcitonin (PCT) levels at 7 days after nosocomial infection were recorded. The risk factors leading to death in patients with nosocomial infection were analyzed by logistic regression, and the receiver operating characteristic curve (ROC) was drawn to evaluate the predictive value of all risk factors on the outcome of patients with nosocomial infection. Results In 864 enrolled patients with male of 54.75% and mean age of (63.50±15.80) years, 732 (84.72%) patients survived and 132 (15.28%) died. Compared with survivors, the non-survivors had higher age (years: 65.47±15.32 vs. 58.15±13.27), incidence of urgent trachea intubation (32.58% vs. 22.81%), deep venous catheterization (83.33% vs. 63.25%), and multiple drug-resistant infection (65.91% vs. 33.20%), longer length of ICU stay (days: 13.56±4.29 vs. 10.29±4.32) and duration of coma (days: 7.36±2.46 vs. 5.48±2.14), lower albumin (g/L: 23.64±8.47 vs. 26.36±12.84), higher APACHEⅡ score (19.28±5.16 vs. 17.56±5.62), SOFA score (8.55±1.34 vs. 6.43±2.65), and PCT (μg/L: 3.06±1.36 vs. 2.53±0.87, all P 0.05). The low respiratory tract was the most common site of infection followed by urinary tract and bloodstream in both groups. It was shown by logistic regression analysis that prolonged ICU stay [odds ratio (OR) = 2.039, 95% confidence interval (95%CI) = 1.231-3.473, P = 0.002], APACHEⅡ score (OR = 1.683, 95%CI= 1.002-9.376, P = 0.000), SOFA score (OR = 2.060, 95%CI = 1.208 -14.309, P = 0.041), PCT (OR = 2.090, 95%CI = 1.706-13.098, P = 0.004), and multi-drug resistant pathogens infection (OR = 5.245, 95%CI = 2.213-35.098, P = 0.027) were independent risk factors for ICU mortality in patients with nosocomial infection. The area under ROC curve (AUC) of length of ICU stay, APACHEⅡ score, SOFA score, and PCT level for predicting death of nosocomial infection patients was 0.854, 0.738, 0.786, and 0.849, respectively, the best cut-off value was 16.50 days, 22.45, 6.37 and 3.38 μg/L, respectively, the sensitivity was 83.6%, 90.0%, 81.1%, and 89.6%, and the specificity was 70.3%, 75.6%, 71.3%, and 85.4%, respectively. Conclusions Prol onged ICU stay, nosocomial infection with secondary sepsis and multiple organ dysfunction syndrome were the leading causes of death for nosocomial infection patients in ICU. Prolonged ICU stay, APACHE Ⅱ score, SOFA score, and PCT level could effectively predict death risks for nosocomial infection patients.