Literature DB >> 32415313

Clinical features and development of sepsis in patients infected with SARS-CoV-2: a retrospective analysis of 150 cases outside Wuhan, China.

Di Ren1,2, Chao Ren3, Ren-Qi Yao3, Yong-Wen Feng4, Yong-Ming Yao5,6.   

Abstract

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Year:  2020        PMID: 32415313      PMCID: PMC7225399          DOI: 10.1007/s00134-020-06084-5

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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Dear Editor, The outbreak of novel coronavirus disease (COVID-19) that began in December 2019 has posed a great threat to human health and been declared a global pandemic by the World Health Organization [1-3]. Shenzhen, an important and special economic zone in China, shares a large floating population with Hubei province. From the first occurrence of COVID-19 on January 11, 2020, to April 26, 2020, there were 461 cases confirmed with infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including 12 patients who remained in the hospital, 3 deaths, and 446 discharged patients [4]. In the present study, we aimed to describe the clinical characteristics of COVID-19 patients in Shenzhen and identify risk factors for the development of SARS-CoV-2-induced sepsis in imported COVID-19 patients. In this retrospective study, patients who were confirmed to have SARS-CoV-2 infection and admitted to the Third People’s Hospital of Shenzhen from January 11 to February 12, 2020, were enrolled. Clinical data were extracted and followed up to March 11, 2020, by using predesigned data collection forms. The baseline characteristics of all enrolled patients in the sepsis and non-sepsis groups were summarized and compared by applying Student’s t test, the Chi-square test, Fisher’s exact test, and the Mann–Whitney U test as appropriate. Continuous variables were presented as the mean (standard deviation [SD]) or median (interquartile range [IQR]), while categorical or ranked data were reported as counts and proportions. A total of 150 hospitalized COVID-19 patients were enrolled in this study, including 49 (32.7%) patients with SARS-CoV-2-induced sepsis at hospital admission and 101 (67.3%) non-septic patients (Table 1). Patients with viral sepsis were much older than those without sepsis (63 vs. 46 years, P < 0.001) and presented with more comorbidities, including hypertension (14 [28.6%] vs. 11 [10.9%], P = 0.006) and diabetes (9 [18.4%] vs. 3 [3%], P = 0.003). Septic patients had significantly higher neutrophil counts, monocyte counts, international normalized ratios, D-dimer values, alanine aminotransferase, aspartate aminotransferase, serum creatinine, blood urea nitrogen, creatine kinase, lactate dehydrogenase, prothrombin times and activated partial thromboplastin times than non-septic patients, but their lymphocyte counts, platelet counts, and albumin levels were significantly lower. Septic patients were more likely to be transferred to the ICU (28 [57.1%] vs. 10 [9.9%]; P < 0.001) and had a significantly prolonged hospital stay (median days, 23.5 days [IQR, 16.3-32.8] vs. 15 days [IQR, 13-20]; P < 0.001) than non-septic patients. Additionally, deaths (3 [6.1%]) occurred solely among patients who developed sepsis at hospital admission. Exposure history, platelet count, T lymphocyte count, cytotoxic T lymphocyte count, IL-6, serum creatinine, erythrocyte sedimentation rate, and sodium might be useful for predicting the incidence of SARS-CoV-2-infection-induced sepsis (electronic supplementary materials).
Table 1

Baseline characteristics of 150 patients confirmed with COVID-19 in Shenzhen, China

No. (%) of patients
Total (n = 150)Sepsis (n = 49)Non-sepsis (n = 101)P value
Demographic characteristics
Age, median (IQR), years54 (37–63)63 (55.5–66)46 (34–57)< 0.001
Female68 (45.3)17 (34.7)51 (50.5)0.068
BMI, mean (SD)23.7 (3.7)25.0 (3.3)23.1 (3.8)0.004
Causes of infection0.005
Traveling history of Hubei province133 (88.7)38 (77.6)95 (94.1)
Contact with local confirmed cases1 (0.7)1 (2)0 (0)
Undetermined cause of infection16 (10.6)10 (20.4)6 (5.9)
Comorbidities
Hypertension25 (16.7)14 (28.6)11 (10.9)0.006
Diabetes12 (8)9 (18.4)3 (3)0.003
Coronary heart disease8 (5.3)4 (8.2)4 (4)0.492
Chronic bronchitis4 (2.7)2 (4.1)2 (2)0.835
Smoking history3 (2)3 (6.1)0 (0)0.059
Malignant tumor3 (2)2 (4.1)1 (1)0.518
Gout3 (2)2 (4.1)1 (1)0.518
Cerebrovascular disease2 (1.3)2 (4.1)0 (0)0.105
Immunocompromised diseases1 (0.7)0 (0)1 (1)> 0.99
Signs and symptoms
Fever125 (83.3)42 (85.7)83 (82.2)0.586
Dry cough44 (29.3)16 (32.7)28 (27.7)0.534
Expectoration35 (23.3)14 (28.6)21 (20.8)0.291
Fatigue33 (22)16 (32.7)17 (16.8)0.028
Myalgia32 (21.3)13 (26.5)19 (18.8)0.279
Chest distress13 (8.7)6 (12.2)7 (6.9)0.438
Dizziness11 (7.3)7 (14.3)4 (4)0.052
Headache10 (6.7)3 (6.1)7 (6.9)> 0.99
Anorexia10 (6.7)6 (12.2)4 (4)0.119
Diarrhea10 (6.7)4 (8.2)6 (5.9)0.871
Nausea5 (3.3)4 (8.2)1 (1)0.070
Dyspnea4 (2.7)2 (4.1)2 (2)0.835
Stomachache2 (1.3)1 (2)1 (1)0.548
Vomiting1 (0.7)0 (0)1 (1)> 0.99
No signs and symptoms10 (6.7)2 (4.1)8 (7.9)0.593
Body temperature, median (IQR),  °C37.2 (36.7–38)37.8 (37.2–38.3)36.9 (36.7–37.8)< 0.001
Heart rates, median (IQR), /min89.5 (83–98)93 (86–101)88 (81–96)0.025
Respiratory rates, median (IQR), /min20 (19–21)21 (20–22.5)20 (19–20)< 0.001
Mean arterial pressure, median (IQR), mmHg95 (89.7–103.4)96.7 (91.8–108.8)94.3 (88.8–102.8)0.072
Diastolic blood pressure, median (IQR), mmHg80 (74.8–89)82 (75–88)79 (74–89)0.432
Systolic blood pressure, median (IQR), mmHg128 (118–139)128 (123.5–152)126 (117–138)0.025
APACHE II, median (IQR)4 (2–6)6 (4–8.5)3 (1–5.5)< 0.001
SOFA, median (IQR)1 (0–2)2 (2–3)0 (0–1)< 0.001
Onset of symptoms to hospital admission, median (IQR), days4 (2–7)4 (2–7.5)3 (2–5.5)0.044
Complications
ARDS87 (58)47 (95.9)40 (39.6)< 0.001
Acute liver injury28 (18.7)20 (40.8)8 (7.9)< 0.001
Acute kidney injury11 (7.3)10 (20.4)1 (1)< 0.001
Acute cardiac injury11 (7.3)8 (16.3)3 (3)0.009
Shock9 (6)7 (14.3)2 (2)0.009
Coagulopathy9 (6)9 (18.4)0 (0)< 0.001
Secondary infection17 (11.3)9 (18.4)8 (7.9)0.058
Prognosis
Discharge from hospital126 (84)36 (73.5)90 (89.1)0.014
Length of stay in hospital, median (IQR), days16 (13–24.3)23.5 (16.3–32.8)15 (13–20)< 0.001
Hospital admission to ICU admission, median (IQR), days6 (2–9)5 (2–8.8)7 (4.8–9.3)0.434
ICU admission38 (25.3)28 (57.1)10 (9.9)< 0.001
Length of stay in ICU, median (IQR), days7 (4–16)9 (4–19.8)4 (2–11)0.192
In-hospital death3 (2)3 (6.1)0 (0)0.059

Data were presented as median (IQR) or mean (SD). n (%) referred to the total number of patients with available data

ICU Intensive care unit, IQR Interquartile range, SD Standard deviation, BMI Body mass index, APACHE II Acute physiology and chronic health evaluation II, SOFA Sequential organ failure assessment, ARDS Acute respiratory distress syndrome

P values indicated differences between sepsis and non-sepsis patients, in which P < 0.05 was deemed as statistical significance

Baseline characteristics of 150 patients confirmed with COVID-19 in Shenzhen, China Data were presented as median (IQR) or mean (SD). n (%) referred to the total number of patients with available data ICU Intensive care unit, IQR Interquartile range, SD Standard deviation, BMI Body mass index, APACHE II Acute physiology and chronic health evaluation II, SOFA Sequential organ failure assessment, ARDS Acute respiratory distress syndrome P values indicated differences between sepsis and non-sepsis patients, in which P < 0.05 was deemed as statistical significance In conclusion, patients with SARS-CoV-2 infection are likely to develop sepsis at hospital admission, which are characterized by failed homeostasis between the innate and adaptive immune responses partly due to the loss of lymphocytes. The development of sepsis might be associated with greater organ dysfunction and worse outcomes in this small cohort of patients from Shenzhen. Below is the link to the electronic supplementary material. Supplementary material 1 (TIFF 1141 kb) Supplementary material 2 (TIFF 930 kb) Supplementary material 3 (TIFF 1206 kb) Supplementary material 4 (TIFF 9942 kb) Supplementary material 5 (TIFF 1252 kb) Supplementary material 6 (TIFF 2011 kb) Supplementary material 7 (DOCX 16 kb) Supplementary material 8 (DOCX 24 kb) Supplementary material 9 (DOCX 17 kb)
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