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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Risk factors for death in 1859 subjects with COVID-19
Lei Chen1, Jianming Yu1, Wenjuan He1
1Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Insights
Older age, smoking, higher admission temperature, elevated neutrophil-to-lymphocyte ratio (NLR), prolonged activated partial thromboplastin (aPTT), and increased D-dimer and serum creatinine levels are associated with higher COVID-19 in-hospital mortality risk. Lower platelet counts also increase mortality risk.
Area of Science:
- Medical research
- Epidemiology
- Clinical diagnostics
Background:
- COVID-19 has caused significant mortality worldwide.
- Identifying risk factors for in-hospital death is crucial for patient management.
Purpose of the Study:
- To investigate various clinical covariates associated with the risk of in-hospital death among COVID-19 patients.
- To identify predictive markers for mortality in COVID-19.
Main Methods:
- A retrospective study of 1859 COVID-19 patients from seven centers in Wuhan.
- Multi-variable Cox regression analysis was used to assess the association between admission covariates and in-hospital death.
- Piecewise linear regression analysis was employed to examine the relationship between Log10 neutrophil-to-lymphocyte ratio (NLR) and mortality risk.
Main Results:
- Older age (HR=1.04), smoking (HR=1.84), higher admission temperature (HR=1.32), elevated Log10 NLR (HR=3.30), prolonged activated partial thromboplastin (aPTT) (HR=1.04), increased Log10 D-dimer (HR=3.00), and higher Log10 serum creatinine (HR=4.55) were significantly associated with increased in-hospital death risk.
- Decreased platelet count (HR=0.996) was also linked to higher mortality.
- Log10 NLR between 0.4 and 1.0 showed a significant association with increased death risk.
Conclusions:
- Several admission covariates, including demographic, clinical, and laboratory markers, are significantly associated with in-hospital mortality in COVID-19 patients.
- NLR, D-dimer, and serum creatinine are potent predictors of mortality.
- These findings can aid in risk stratification and clinical decision-making for COVID-19 patients.
Abstract:
We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log10 neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log10 D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log10 serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses Log10NLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19.
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