PMC:7347402 / 18681-22292 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7347402","sourcedb":"PMC","sourceid":"7347402","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7347402","text":"Factors associated with in-hospital 28-day mortality\nThe univariable Cox regression analysis showed that age, male sex, chronic kidney disease, cerebrovascular disease, CRB-65 score and FBG were associated with in-hospital 28-day mortality. The multivariable Cox regression analysis further suggested that age (HR 1.02 [95% CI 1.00, 1.04]), male sex (HR 1.75 [95% CI 1.17, 2.60]), CRB-65 score 1–2 (HR 2.68 [95% CI 1.56, 4.59]), CRB-65 score 3–4 (HR 5.25 [95% CI 2.05, 13.43]) and FBG ≥7.0 mmol/l (HR 2.30 [95% CI 1.49, 3.55]) were independent predictors for mortality (Table 2).\nTable 2 Univariable and multivariable analyses of various indicators for death within 28 days in all participants\nUnivariable analysis HR (95% CI) p value Multivariable analysis HR (95% CI) p value\nHospital\n Wuhan Red Cross Hospital 1 (ref)\n Wuhan Union West Hospital 0.85 (0.57, 1.28) 0.4347\nAge, years 1.05 (1.03, 1.06) \u003c0.0001 1.02 (1.00, 1.04) 0.0252\nSex Female 1 (ref) 1 (ref)\nMale 2.03 (1.37, 3.01) 0.0004 1.75 (1.17, 2.60) 0.0060\nOnset symptoms\n Fever No 1 (ref)\nYes 0.84 (0.48, 1.44) 0.5191\n Cough No 1 (ref)\nYes 0.71 (0.47, 1.08) 0.1125\n Expectoration No 1 (ref)\nYes 1.06 (0.71, 1.58) 0.7788\n Muscular soreness No 1 (ref)\nYes 0.92 (0.57, 1.47) 0.7256\n Fatigue No 1 (ref)\nYes 1.07 (0.72, 1.60) 0.7386\n Diarrhoea No 1 (ref)\nYes 0.83 (0.48, 1.44) 0.5124\nPast history of disease\n Hypertension Without 1 (ref)\nWith 1.27 (0.85, 1.89) 0.2493\n Chronic lung disease Without 1 (ref)\nWith 1.12 (0.41, 3.03) 0.8285\n Chronic heart disease Without 1 (ref)\nWith 1.34 (0.75, 2.39) 0.3151\n Chronic liver disease Without 1 (ref)\nWith 0.95 (0.30, 2.99) 0.9296\n Chronic kidney disease Without 1 (ref)\nWith 2.28 (1.00, 5.19) 0.0496\n Cerebrovascular disease Without 1 (ref)\nWith 2.82 (1.31, 6.05) 0.0080\n Carcinoma Without 1 (ref)\nWith 1.81 (0.92, 3.58) 0.0876\nCRB-65 score 0 1 (ref) 1 (ref)\n1–2 4.35 (2.81, 6.72) \u003c0.0001 2.68 (1.56–4.59) 0.0003\n3–4 13.80 (5.99, 31.80) \u003c0.0001 5.25 (2.05–13.43) 0.0005\nAdmission FBG, mmol/l \u003c6.1 1 (ref) 1 (ref)\n6.1–6.9 2.06 (1.20, 3.54) 0.0087 1.71 (0.99, 2.94) 0.0524\n≥7.0 3.54 (2.33, 5.38) \u003c0.0001 2.30 (1.49, 3.55) 0.0002\nThe cumulative death rate within 28 days in all COVID-19 participants stratified in terms of FBG and CRB-65 score at admission overall is shown in Fig. 2a (ptrend \u003c 0.0001) and Fig. 2b (ptrend = 0.0020). Compared with patients with FBG \u003c6.1 mmol/l, mortality within 28 days was higher in those with FBG of 6.1–6.9 mmol/l (crude HR 2.06 [95% CI 1.20, 3.54]) and ≥7.0 mmol/l (crude HR 3.54 [95% CI 2.33, 5.38]), respectively (Table 2). Compared with patients with FBG of 6.1–6.9 mmol/l, mortality within 28 days was higher in those with FBG ≥7.0 mmol/l (crude HR 1.72 [95% CI 1.05, 2.84]). Meanwhile, compared with patients with CRB-65 score of 0, mortality within 28 days was higher in those with CRB-65 of 1–2 (crude HR 4.35 [95% CI 2.81, 6.72]) and 3–4 (crude HR 13.80 [95% CI 5.99, 31.80]), respectively (Table 2). Compared with patients with CRB-65 score of 1–2, mortality within 28 days was higher in those with CRB-65 of 3–4 (crude HR 3.18 [95% CI 1.46, 6.89]).\nFig. 2 Kaplan–Meier survival curves (showing cumulative mortality and 95% CI) for COVID-19 patients stratified in terms of FBG or CRB-65 score at admission. (a) Kaplan–Meier survival curves of all COVID-19 patients stratified by FBG; (b) Kaplan–Meier survival curves of all COVID-19 patients stratified by CRB-65 score; (c) Kaplan–Meier survival curves of COVID-19 patients with a CRB-65 score of 0, stratified by FBG; (d) Kaplan–Meier survival curves of COVID-19 patients with a CRB-65 score of \u003e0, stratified by 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