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Objective:To analyze the clinical characteristics and causes of death of 80 dead cases with confirmed coronavirus disease 2019 (COVID-19).Methods:The clinical data of 80 dead patients with COVID-19 who were admitted to Renmin Hospital of Wuhan University from January 11 to February 11, 2020 were retrospectively analyzed.The laboratory examination indexes (including white blood cells, lymphocytes, procalcitonin (PCT), lactic acid, D-dimmer, fibrinogen degradation products, N-terminal pro-brain natriuretic peptide (N-proBNP), ultra sensitive-troponin I, lactate dehydrogenase (LDH) and CD4 + T lymphocyte) of the patients at the time of admission were compared with the indexes at the last time before death. Statistical analysis was conducted by using paired t test or Wilcoxon′s signed rank test. Results:The median age was 72 years old of the 80 patients, and 78.75%(63/80) of them were older than 60 years. Thirty-six cases (45.00%) were severe and 44(55.00%) were critical at admission. Fifty-eight cases (72.50%) had underlying diseases. The common underlying diseases were hypertension, diabetes mellitus, coronary atherosclerotic heart disease, and chronic obstructive pulmonary disease. Comparing the patients′ first laboratory tests at admission with those before death, white blood cells increased (8.01(4.86, 12.29)×10 9/L vs 12.55(8.25, 17.66)×10 9/L), lymphocytes decreased (0.70(0.46, 0.88)×10 9/L vs 0.54(0.39, 0.75)×10 9/L), PCT increased (0.20(0.11, 0.74) μg/L vs 1.00(0.20, 1.99) μg/L), lactic acid increased (2.10(1.40, 3.10) mmol/L vs 3.10(2.60, 4.10) mmol/L), D-dimmer increased (4.33(0.97, 18.98) mg/L vs 15.29(5.17, 53.44) mg/L), fibrinogen degradation products increased (15.90(3.58, 76.60) mg/L vs 63.14(21.23, 110.67) mg/L), N-proBNP increased (1 078.00(347.35, 2 996.50) ng/L vs 3 439.50(1 576.00, 9 281.50) ng/L), ultra-sensitive troponin I increased (0.08(0.03, 0.17) μg/L vs 0.33(0.14, 2.47) μg/L), LDH increased (397.00(327.00, 523.50) U/L vs 624.00(481.00, 854.00) U/L) and CD4 + T lymphocyte decreased (137.00(104.00, 168.00)/μL vs 97.00(67.00, 128.00)/μL). The differences between the two groups were all statistically significant ( W=238.00, 1 053.50, 150.00, 152.00, 192.00, 190.00, 108.00, 57.00, 53.00 and 40.00, respectively, all P<0.05). All patients received antiviral and respiratory-support therapy and the main cause of death was respiratory failure caused by intractable hypoxemia and multiple organ failure. Among them, seven cases died in one day hospitalization, and 66 cases died in seven days hospitalization. Conclusions:Elderly patients with a variety of chronic underlying diseases have poor prognosis. It′s essential to pay more attention and deal with the above clinical characteristics at an early stage to improve the outcome of the COVID-19 patients.
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Objective:To analyze the risk factors of fatal outcome in patients with severe COVID-19.Methods:The clinical characteristics of 107 patients with severe COVID-19 admitted in Renmin Hospital of Wuhan University from February 12 to March 12, 2020 were retrospectively analyzed. During the hospitalization 49 patients died (fatal group) and 58 patients survived (survival group). The clinical characteristics, baseline laboratory findings were analyzed using R and Python statistical software. The risk factors of fatal outcome in patients with severe COVID-19 were analyzed with multivariate logistic regression.Results:Univariate analysis showed that the two groups had statistically significant differences in age, clinical classification, dry cough, dyspnea and laboratory test indicators ( P<0.05 or <0.01). The random forest model was used to rank the significance of the statistically significant variables in the univariate analysis, and the selected variables were included in the binary logistic regression model. After stepwise regression analysis, the patient’s clinical type, age, neutrophil count, and the proportion of CD3 cells are independent risk factors for death in severe COVID-19 patients. Dry cough is an independent protective factor for the death of severe COVID-19 patients. Conclusion:COVID-19 patients with fatal outcome are more likely to have suppressed immune function, secondary infection and inflammatory factor storm. These factors may work together in severe patients, leading to intractable hypoxemia and multiple organ dysfunction and resulting in fatal outcome of patients. The study indicates that timely intervention and treatment measures against above factors may be effective to save the lives of patients with severe COVID-19.
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Nosocomial infection (NI) is one of the most significant complications arising after open heart surgery,and leads to increased mortality,hospitalization time and health resource allocation.This study investigated the morbidity,mortality,and independent risk factors associated with NI following open heart surgery.We retrospectively surveyed the records of 1606 consecutive cardiovascular surgical patients to identify those that developed NI.The NI selection criteria were based on the Centers for Disease Control and Prevention (CDC) guidelines.The term NI encompasses surgical site infection (SSI),central venous catheter-related infection (CVCRI),urinary tract infection (UTI),respiratory tract infection and pneumonia (RTIP),as well as other types of infections.Of 1606 cardiovascular surgery patients,125 developed NI (7.8％,125/1606).The rates of NI following surgery for congenital malformation,valve replacement,and coronary artery bypass graft were 2.6％ (15/587),5.5％ (26/473) and 13.6％ (32/236),respectively.The NI rate following surgical repair of aortic aneurysm or dissection was 16.8％ (52/310).Increased risk of NI was detected for patients with a prior preoperative stay ≥3 days (OR=2.11,95％ CI=1.39-3.20),diabetes (OR=2.00,95％=CI 1.26-3.20),length of surgery ≥6 h (OR=2.26,95％ CI=1.47-3.47),or postoperative cerebrovascular accident (OR=4.08,95％ CI=1.79-9.29).Greater attention should be paid toward compliance with ventilator and catheter regulations in order to decrease NI morbidity and mortality following cardiovascular procedures.
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Nosocomial infection (NI) is one of the most significant complications arising after open heart surgery,and leads to increased mortality,hospitalization time and health resource allocation.This study investigated the morbidity,mortality,and independent risk factors associated with NI following open heart surgery.We retrospectively surveyed the records of 1606 consecutive cardiovascular surgical patients to identify those that developed NI.The NI selection criteria were based on the Centers for Disease Control and Prevention (CDC) guidelines.The term NI encompasses surgical site infection (SSI),central venous catheter-related infection (CVCRI),urinary tract infection (UTI),respiratory tract infection and pneumonia (RTIP),as well as other types of infections.Of 1606 cardiovascular surgery patients,125 developed NI (7.8％,125/1606).The rates of NI following surgery for congenital malformation,valve replacement,and coronary artery bypass graft were 2.6％ (15/587),5.5％ (26/473) and 13.6％ (32/236),respectively.The NI rate following surgical repair of aortic aneurysm or dissection was 16.8％ (52/310).Increased risk of NI was detected for patients with a prior preoperative stay ≥3 days (OR=2.11,95％ CI=1.39-3.20),diabetes (OR=2.00,95％=CI 1.26-3.20),length of surgery ≥6 h (OR=2.26,95％ CI=1.47-3.47),or postoperative cerebrovascular accident (OR=4.08,95％ CI=1.79-9.29).Greater attention should be paid toward compliance with ventilator and catheter regulations in order to decrease NI morbidity and mortality following cardiovascular procedures.
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Objective To investigate hepatitis B virus surface antign (HBsAg) quantitative value quantitatively in serum of chronic hepatitis B virus (HBV) infection patients with different clinical stages,at the same time,to explore the correlation between HBV DNA,patient's age and HBsAg quantitative values.Methods Collected 774 cases without antiviral treatment of chronic HBV infection from our hospital,according to the clinical features,divided cases into six groups:chronic HBV carrier group (102 cases),inactive HBsAg carrier group (211 cases),hepativis B virus e antigen (HBeAg) positive chronic hepatitis B group (236 cases),HBeAg negative chronic hepatitis B group (114 cases),HBeAg positive hepatitis B cirrhosis group (52 cases),HBeAg negative hepatitis B cirrhosis group (59 cases).Used chemiluminescence immunoassay particles analysis to determine HBsAg quantitative value in serum in patients,used real-time fluorescent quantitative polymerase chain reaction method to determine HBV DNA quantitative value in patients,and then compared differences among groups.Results HBsAg quantitative value from high to low respectively were chronic HBV cartier group,HBeAg positive chronic hepatitis B group,HBeAg negative chronic hepatitis B group,inactive HBsAg carrier group,HBeAg negative hepatitis B cirrhosis group,HBeAg positive hepatitis Bcirrhosis group,the median quantitative value of HBsAg were [7.80 (6.69-8.32),7.11 (5.42-8.27),6.57 (5.66-7.53),6.38 (4.39-7.40),6.22 (4.84-6.91),6.13 (5.48-7.01)] ; positive correlation was found between HBsAg quantitative value and HBV DNA in HBeAg positive chronic hepatitis B group and HBeAg negative chronic hepatitis B group (r =0.714,0.390,P ＜ 0.01); negative correlation was found between HBsAg quantitative value and age in chronic HBV infection(r =-0.416,P ＜ 0.01) ; Monitored HBsAg quantitative value of inactive HBsAg carriers after the age 40 had important clinical value.Conclusions HBsAg quantitative value is different in the various phases of chronic HBV infection.HBV DNA levels and age are related with HBsAg quantitative value.HBsAg quantitative value should be monitored in inactive HBsAg carriers after the age 40.