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Wu W, Lu W, Hong D, Yu X, Xiong L. Association Between Hemoglobin-Albumin-Lymphocyte-Platelet Index and Mortality in Hospitalized COVID-19 Omicron BA.2 Infected Patients. Infect Drug Resist 2024; 17:1467-1476. [PMID: 38628242 PMCID: PMC11020245 DOI: 10.2147/idr.s451613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024] Open
Abstract
Background The hemoglobin-albumin-lymphocyte-platelet (HALP) index is a novel biomarker reflecting systemic inflammation and nutritional status which are important for coronavirus disease 2019 (COVID-19) mortality. However, the association between HALP and mortality in patients with COVID-19 has yet to be investigated. Methods A cohort of COVID-19 Omicron BA.2 infected patients admitted to the Shanghai Fourth People's Hospital, School of Medicine, Tongji University from April 12, 2022 to June 17, 2022 was retrospectively analyzed. Laboratory examinations on hospital admission, including hemoglobin, albumin, and lymphocyte and platelet, were collected. The association between baseline HALP and in-hospital poor overall survival (OS) was assessed using Kaplan-Meier curves, Cox regression models, interaction, and stratified analyses. Results A total of 2147 patients with COVID-19 Omicron BA.2 infection were included in the final analyses, and mortality in the hospital was 2.65%. Multivariate analysis indicated that low HALP index was independently associated with in-hospital mortality of COVID-19 patients [hazard ratio (HR) = 2.08; 95% confidence interval (CI) = 1.17-3.73]. Subgroup analysis demonstrated that low HALP index was an independent risk factor for in-hospital mortality in COVID-19 patients with age ≥70 (HR = 2.22, CI = 1.18-4.15) and severe cases (HR = 2.09, CI = 1.13-3.86). Conclusion HALP index is independently related to in-hospital poor OS for COVID-19 Omicron BA.2 infected patients, especially for age ≥70 and severe cases. HALP index on hospital admission is a useful candidate biomarker for identifying high risk of mortality in COVID-19 Omicron BA.2 infected patients.
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Affiliation(s)
- Wei Wu
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, 200434, People’s Republic of China
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Clinical Research Centre for Anesthesiology and Perioperative Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
| | - Wenbin Lu
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University/Second Military Medical University, PLA, Shanghai, 200433, People’s Republic of China
| | - Dongmei Hong
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, 200434, People’s Republic of China
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Clinical Research Centre for Anesthesiology and Perioperative Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
| | - Xiya Yu
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, 200434, People’s Republic of China
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Clinical Research Centre for Anesthesiology and Perioperative Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
| | - Lize Xiong
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, 200434, People’s Republic of China
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
- Clinical Research Centre for Anesthesiology and Perioperative Medicine, Tongji University, Shanghai, 200434, People’s Republic of China
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Zhang Z, Wu S, Wang Z, Wang Y, Chen H, Wu C, Xiong L. Long-term oral ACEI/ARB therapy is associated with disease severity in elderly COVID-19 omicron BA.2 patients with hypertension. BMC Infect Dis 2023; 23:882. [PMID: 38110869 PMCID: PMC10726588 DOI: 10.1186/s12879-023-08913-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 12/14/2023] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVE To explore the effects of long-term oral ACEIs/ARBs on the incidence of exacerbation and in-hospital mortality in elderly COVID-19 Omicron BA.2 patients with hypertension, especially patients aged 80 years or older. MATERIALS AND METHODS In this retrospective study, patients suffering mild and rcommon COVID-19 with hypertension who were hospitalized in the Shanghai Fourth People's Hospital between April 2022 and June 2022 were enrolled. Primary outcomes included the incidence of exacerbation and in-hospital mortality. Secondary outcomes included the incidence of respiratory failure of patients, use of mechanical ventilation, nucleic acid conversion time (NCT), hospitalization costs, and the temporal trend of the incidence of exacerbations and in-hospital mortality in different age groups. The data were analysed using propensity score weighting (PSW). RESULTS In the entire cohort, there were 298 ACEI/ARB users and 465 non-ACEI/ARB users. The ACEI/ARB group showed a lower incidence of exacerbation (OR = 0.64, 95% CI for OR: 0.46-0.89, P = 0.0082) and lower in-hospital mortality (OR = 0.49, 95% CI for OR: 0.27-0.89, P = 0.0201) after PSW. Sensitivity analysis obtained the same results. The results of the subgroup of patients aged 80 years and older obtained a similar conclusion as the whole cohort. Most of the study indicators did not differ statistically significantly in the subgroup of patients aged 60 to 79 years except for rates of mechanical ventilation and respiratory failure. CONCLUSION Antihypertensive therapy with ACEIs/ARBs might reduce the incidence of exacerbation and in-hospital mortality. The findings of this study support the use of ACEIs/ARBs in COVID-19 patients infected by Omicron BA.2, especially in patients aged 80 years or older with hypertension.
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Affiliation(s)
- Zhe Zhang
- Department of Anesthesiology and Perioperative medicine, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
| | - Shengyong Wu
- Department of Military Health Statistics, Naval Medical University, Shanghai, 200433, China
| | - Zhiyong Wang
- Department of Information Management, School of Medicine, Shanghai Fourth People's Hospital, Tongji University, Shanghai, 200434, China
| | - Yue Wang
- Department of Anesthesiology and Perioperative medicine, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
| | - Hui Chen
- Department of Anesthesiology and Perioperative medicine, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
| | - Cheng Wu
- Department of Military Health Statistics, Naval Medical University, Shanghai, 200433, China.
| | - Lize Xiong
- Department of Anesthesiology and Perioperative medicine, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
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