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Objective:To investigate the differences in microbiological examination results between alcohol abuse and no alcohol abuse in adult ICU patients and the association between alcohol abuse and these differences.Methods:The adult patients with microbiological examination results were selected from the MIMIC-Ⅲ database and divided into two groups according to whether they had alcohol abuse. The two groups were matched by propensity score, and the similarities and differences in microbiological examination results were evaluated between the two groups after matching. The measurement data of non normal distribution were expressed by M ( Q1, Q3). Wilcoxon rank sum test was used for the comparison of the two groups, and the comparison of counting data was used χ 2 test or Fisher exact probability method. Results:After matching, the alcohol abuse patients were more likely to use mechanical ventilation (47.06% (1 379/2 930) vs. 52.66% (1 543/2 930), χ 2=18.14, P<0.001), had a higher positive rate in sputum samples (44.30% (400/903) vs. 49.41% (501/1 014), χ 2=4.81, P=0.028) and had a lower positive rate in other samples (26.85% (653/2 432) vs. 21.67% (541/2 496), χ 2=17.69, P<0.001). In blood samples, the percentage of Gram-negative bacteria was lower in the alcohol abuse group (26.87% (126/469) vs. 17.25% (74/429), χ 2=11.42, P<0.001), while the percentage of Gram-positive bacteria was higher (78.46% (368/469) vs. 86.01% (369/429), χ 2=8.17, P=0.004). The percentage of patients with Pseudomonas aeruginosa (3.75% (110/2 930) vs. 2.08% (61/2 930), χ 2=13.88, P<0.001) and Enterococcus sp. (8.19% (240/2 930) vs. 6.45% (189/2 930), χ 2=6.29, P=0.012) was lower in the alcohol abuse group. However, there was a higher percentage of patients with methicillin-resistant Staphylococcus aureus (2.32% (68/2 930) vs. 3.28% (96/2 930), χ 2=4.57, P=0.032) and Haemophilus influenzae (1.30% (38/2 930) vs. 2.01% (59/2930), χ 2=4.19, P=0.041) in the alcohol abuse group. For Staphylococcus aureus (61.10% (322/527) and 52.66% (267/507), χ 2=7.16, P=0.007) and Enterococcus sp. (75.83% (160/211) and 63.64% (56/88), χ 2=4.02, P=0.045), the alcohol abuse group had a lower resistance to levofloxacin; for Escherichia coli, Pseudomonas aeruginosa and Klebsiella pneumoniae, the alcohol abuse group had a lower resistance to cephalosporins (all P<0.05). Conclusions:In adult ICU, alcohol abuse might increase the risks of using mechanical ventilation, and patients with alcohol abuse might be more prone to have respiratory tract infections. Alcohol abuse patients with blood infections were less likely to be infected with Gram-negative bacteria, but had a higher probability of Gram-positive bacteria infection. What is more, Alcohol abuse might increase the risks of infections with Haemophilus influenzae and methicillin-resistant Staphylococcus aureus. In alcohol abuse patients, the infection of Staphylococcus aureus, Enterococcus sp., Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae was less resistant to many antibiotics than that in no alcohol abuse patients.
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Objective:To analyze the relationship between blood electrolytes and the prognosis of patients with severe coronavirus disease 2019 (COVID-19) and to provide assistance for clinical decision-making.Methods:The clinical data of patients with severe COVID-19 admitted to intensive care unit (ICU) of the Wuhan Third Hospital by the Shanghai aid-Hubei medical team from January 21 to March 4, 2020 were collected. Excluding ineligible patients, 110 patients were finally enrolled. The patients' gender, age, temperature, heart rate, systolic and diastolic blood pressure, clinical symptoms at admission, time of symptom onset, duration of fever, and relevant indicators at admission to ICU (including blood potassium, chloride, sodium, calcium, phosphorus, and magnesium, etc.) and prognosis were analyzed. The patients were grouped by blood potassium or calcium levels or blood potassium/calcium ratio. The Kaplan-Meier survival curves were used to analyze the survival of patients in each group. The relationship between the potassium/calcium ratio and the prognosis was analyzed using restricted cubic spline plots. The relationship between each index in the different models and the prognosis was analyzed using Cox regression models.Results:Among 110 severe COVID-19 patients, 78 cases survived, and 32 cases died. Compared with the surviving group, patients in the death group had higher blood potassium levels [mmol/L: 4.25 (3.80, 4.65) vs. 3.90 (3.60, 4.20), P < 0.05] and lower blood calcium levels (mmol/L: 2.00±0.14 vs. 2.19±0.18, P < 0.05). The Kaplan-Meier survival curves showed that patients in the potassium > 4.2 mmol/L group had a worse prognosis than the potassium < 3.8 mmol/L group and the potassium 3.8-4.2 mmol/L group ( P = 0.011), patients in the calcium > 2.23 mmol/L group had a better prognosis than the calcium < 2.03 mmol/L group and the calcium 2.03-2.23 mmol/L group, and the lower calcium group had a worse prognosis ( P = 0.000 15). Cox regression analysis showed that the hazard ratio ( HR) of blood potassium and calcium were 2.08 and 0.01, respectively, in model 1 (single blood potassium or calcium) and in model 2 (model 1 plus age and gender), the HR of blood potassium and calcium were 1.98 and 0.01 respectively, which were significantly associated with patient prognosis (all P < 0.05). Patients in the group with the potassium/calcium ratio > 1.9 had higher blood potassium levels and a higher proportion of mechanical ventilation, lower calcium levels and lower proportion of survival, and longer time of ICU admission compared with the groups with the potassium/calcium ratio < 1.7 and 1.7-1.9. The Kaplan-Meier survival curves showed that the survival rate of the potassium/calcium ratio > 1.9 group was the lowest ( P < 0.000 1), and there was no statistically significant difference in survival between the potassium/calcium ratio < 1.7 group and the potassium/calcium ratio 1.7-1.9 group. A restricted cubic spline plot corrected for age and gender showed that patients in the potassium/calcium ratio > 1.8 group had HR values > 1. Cox regression analysis corrected for other indicators showed that the potassium/calcium ratio was still associated with patient prognosis ( HR = 4.85, P = 0.033). Conclusions:Blood potassium, calcium, and the potassium/calcium ratio at ICU admission are related to the prognosis of patients with severe COVID-19, and the potassium/calcium ratio is an independent risk factor for the death of patients. The higher the potassium/calcium ratio, the worse the prognosis of patients.
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Objective:To compare and analyze the clinical features of patients with severe coronavirus disease 2019 (sCOVID-19) and severe community acquired pneumonia (sCAP) who meet the diagnostic criteria for severe pneumonia of the Infectious Diseases Society of America/American Thoracic Society (IDSA/ATS).Methods:A retrospective comparative analysis of the clinical records of 116 patients with sCOVID-19 admitted to the department of critical care medicine of Wuhan Third Hospital from January 1, 2020 to March 31, 2020 and 135 patients with sCAP admitted to the department of critical care medicine of Shanghai First People's Hospital from January 1, 2010 to December 31, 2017 was conducted. The basic information, diagnosis and comorbidities, laboratory data, etiology and imaging results, treatment, prognosis and outcome of the patients were collected. The differences in clinical data between sCOVID-19 and sCAP patients were compared, and the risk factors of death were analyzed.Results:The 28-day mortality of sCOVID-19 and sCAP patients were 50.9% (59/116) and 37.0% (50/135), respectively. The proportion of arterial partial pressure of oxygen/fraction of inspired oxygen (PaO 2/FiO 2)≤250 mmHg (1 mmHg ≈ 0.133 kPa) in sCOVID-19 patients was significantly higher than that of sCAP [62.1% (72/116) vs. 34.8% (47/135), P < 0.01]. The possible reason was that the proportion of multiple lung lobe infiltration in sCOVID-19 was significantly higher than that caused by sCAP [94.0% (109/116) vs. 40.0% (54/135), P < 0.01], but the proportion of sCOVID-19 patients requiring mechanical ventilation was significantly lower than that of sCAP [45.7% (53/116) vs. 60.0% (81/135), P < 0.05]. Further analysis of clinical indicators related to patient death found that for sCOVID-19 patients PaO 2/FiO 2, white blood cell count (WBC), neutrophils (NEU), neutrophil percentage (NEU%), neutrophil/lymphocyte ratio (NLR), total bilirubin (TBil), blood urea nitrogen (BUN), albumin (ALB), Ca 2+, prothrombin time (PT), D-dimer, C-reactive protein (CRP) and other indicators were significantly different between the death group and the survival group, in addition, the proportion of receiving mechanical ventilation, gamma globulin, steroid hormones and fluid resuscitation in death group were higher than survival group. Logistic regression analysis showed that the need for mechanical ventilation, NLR > 10, TBil > 10 μmol/L, lactate dehydrogenase (LDH) > 250 U/L were risk factors for death at 28 days. For sCAP patients, there were significant differences in age, BUN, ALB, blood glucose (GLU), Ca 2+ and D-dimer between the death group and the survival group, but there was no significant difference in treatment. Logistic regression analysis showed that BUN > 7.14 mmol/L and ALB < 30 g/L were risk factors for 28-day death of sCAP patients. Conclusions:The sCOVID-19 patients in this cohort have worse oxygen condition and symptoms than sCAP patients, which may be due to the high proportion of lesions involving the lungs. The indicators of the difference between the death group and the survival group were similar in sCOVID-19 and sCAP patients. It is suggested that the two diseases have similar effects on renal function, nutritional status and coagulation function. But there were still differences in risk factors affecting survival. It may be that sCOVID-19 has a greater impact on lung oxygenation function, inflammatory cascade response, and liver function, while sCAP has a greater impact on renal function and nutritional status.