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Erschienen in: Critical Care 1/2020

Open Access 29.04.2020 | COVID-19 | Letter

Clinical determinants for fatality of 44,672 patients with COVID-19

verfasst von: Guangtong Deng, Mingzhu Yin, Xiang Chen, Furong Zeng

Erschienen in: Critical Care | Ausgabe 1/2020

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Using meta-analysis to explore clinical determinants for death of COVID-19 patients has been a problem due to insufficient sample size and overlapped cases [1]. In the study, we re-analyzed the largest confirmed case series reported publicly by the Chinese center for disease control and prevention (44,672 laboratory confirmed cases updated through February 11, 2020, [2]), to explore the clinical risk factors associated with death.
The basic characteristics between survivors and non-survivors with COVID-19 were presented in Table 1. Among a total of 44,672 patients with laboratory confirmation of SARS-CoV-2 infection, 1023 (2.3%) patients were dead as of February 11, 2020, the last day of follow-up. The fatality rate was increasing with ages and even up to 14.8% in patients aged above 80 years old (see Fig. 1a). The prevalence of COVID-19 between men and women was pretty close (51.4% vs. 48.6%), which is different from previous report (58.1% vs. 41.9%) [3]. Notably, the fatality rate of male patients was significantly higher than that of female patients (RR = 1.67, 95%CI = 1.47–1.89, p < 0.001) (see Fig. 1b). Furthermore, cardiovascular disease (RR = 6.75, 95%CI = 5.40–8.43, p < 0.001), hypertension (HR = 4.48, 95%CI = 3.69–5.45, p < 0.001), diabetes (RR = 4.43, 95%CI = 3.49–5.61, p < 0.001), respiratory disease (RR = 3.43, 95%CI = 2.42–4.87, p < 0.001), and cancers (RR = 2.926, 95%CI = 1.34–6.41, p = 0.006) were the risk factors for fatality of patients with COVID-19.
Table 1
Characteristics between survivors and non-survivors with COVID-19
Characteristics
Total (n = 44,672)
Non-survivors (n = 1023)
Survivors (n = 43,649)
Fatality (%)
RR (95%CI)
p
Age, n (%)
 0–
416 (0.9%)
0
416 (0.9%)
0
  
 10–
549 (1.2%)
1 (0.1%)
548 (1.3%)
0.2
  
 20–
3619 (8.1%)
7 (0.7%)
3612 (8.3%)
0.2
  
 30–
7600 (17.0%)
18 (1.8%)
7582 (17.4%)
0.2
  
 40–
8571 (19.2%)
38 (3.7%)
8533 (19.5%)
0.4
  
 50–
10,008 (22.4%)
130 (12.7%)
9878 (22.6%)
1.3
  
 60–
8583 (19.2%)
309 (30.2%)
8274 (19.0%)
3.6
  
 70–
3918 (8.8%)
312 (30.5%)
3606 (8.3%)
8.0
  
 ≥ 80
1408 (3.2%)
208 (20.3%)
1200 (2.7%)
14.8
  
Severity*, n (%)
 Mild/moderate
36,160 (80.9%)
0
36,160 (82.8%)
0
  
 Severe
6168 (13.8%)
0
6168 (14.1%)
0
  
 Critical
2087 (4.7%)
1023 (100%)
1064 (2.4%)
49.0
  
Gender, n (%)
 Male
22,981 (51.4%)
653 (63.8%)
22,328 (51.2%)
2.8
1.67 (1.47–1.89)
< 0.001
 Female
21,691 (48.6%)
370 (36.2%)
21,321 (48.8%)
1.7
  
Comorbidity#, n (%)
 Hypertension
2683 (12.8%)
161 (39.7%)
2522 (12.3%)
6.0
4.48 (3.69–5.45)
< 0.001
 Diabetes
1102 (5.3%)
80 (19.7%)
1022 (5.0%)
7.3
4.47 (3.49–5.61)
< 0.001
 Cardiovascular disease
873 (4.2%)
92 (22.7%)
781 (3.8%)
10.5
6.75 (5.40–8.43)
< 0.001
 Respiratory disease
511 (2.4%)
32 (7.9%)
479 (2.3%)
6.3
3.43 (2.42–4.87)
< 0.001
 Cancer
107 (0.5%)
6 (1.5%)
101 (0.5%)
5.6
2.93 (1.34–6.41)
0.006
*Missing data (n = 257 in survivors group)
#Missing data (n = 617 in the non-survivors group, n = 23,073 in the survivors group)
In summary, we found that there was no difference in the prevalence of COVID-19 between men and women, but male patients had a nearly 1.7-fold higher risk of death than female patients. Moreover, we concluded that patients with comorbidities had a significantly high death risk. Admittedly, due to the unavailability of individual patient data, we could not exclude the influence of age on the conclusion because old patients were more likely to have the underlying comorbidities. We would like to provide a reminder to the physicians that more intensive surveillance or treatment should be considered for male patients and those with comorbidities. Further and larger studies are needed to validate the findings.

Acknowledgements

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Competing interests

All authors declare no competing interests.
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Literatur
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Zurück zum Zitat Novel Coronavirus Pneumonia Emergency Response Epidemiology T. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41(2):145–51. Novel Coronavirus Pneumonia Emergency Response Epidemiology T. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41(2):145–51.
Metadaten
Titel
Clinical determinants for fatality of 44,672 patients with COVID-19
verfasst von
Guangtong Deng
Mingzhu Yin
Xiang Chen
Furong Zeng
Publikationsdatum
29.04.2020
Verlag
BioMed Central
Schlagwort
COVID-19
Erschienen in
Critical Care / Ausgabe 1/2020
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-020-02902-w

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