Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data

被引:8
作者
Malekpour, Mohammad-Reza [1 ]
Abbasi-Kangevari, Mohsen [1 ]
Shojaee, Ali [2 ]
Moghaddam, Sahar Saeedi [1 ,3 ]
Ghamari, Seyyed-Hadi [1 ]
Rashidi, Mohammad-Mahdi [1 ]
Shabestari, Alireza Namazi [4 ,5 ]
Effatpanah, Mohammad [5 ,6 ]
Nasehi, Mohammadmehdi [5 ,7 ]
Rezaei, Mehdi [5 ,8 ]
Farzadfar, Farshad [1 ,9 ]
机构
[1] Univ Tehran Med Sci, Endocrinol & Metab Populat Sci Inst, Noncommunicable Dis Res Ctr, Tehran, Iran
[2] Univ Tehran Med Sci, Sch Publ Hlth, Dept Hlth Management & Econ, Tehran, Iran
[3] Kiel Inst World Econ, Kiel, Germany
[4] Univ Tehran Med Sci, Sch Med, Dept Geriatr Med, Tehran, Iran
[5] Iran Hlth Insurance Org, Natl Ctr Hlth Insurance Res, Tehran, Iran
[6] Univ Tehran Med Sci, Imam Khomeini Hosp Complex, Sch Med, Dept Pediat, Tehran, Iran
[7] Shahid Beheshti Univ Med Sci, Mofid Children Hosp, Pediat Neurol Dept, Tehran, Iran
[8] Univ Tehran Med Sci, Sch Med, Dept Orthoped, Tehran, Iran
[9] Univ Tehran Med Sci, Endocrinol & Metab Clin Sci Inst, Endocrinol & Metab Res Ctr, Tehran, Iran
关键词
COVID-19; non-communicable diseases; big data; frequent pattern mining; Anatomical Therapeutic Chemical; pandemic; METFORMIN; MORTALITY;
D O I
10.3389/fpubh.2023.1061307
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundConcerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed to investigate the association of single or combinations of chronically used medications in NCDs with clinical outcomes of COVID-19. MethodsThis retrospective study was conducted on the intersection of two databases, the Iranian COVID-19 registry and Iran Health Insurance Organization. The primary outcome was death due to COVID-19 hospitalization, and secondary outcomes included length of hospital stay, Intensive Care Unit (ICU) admission, and ventilation therapy. The Anatomical Therapeutic Chemical (ATC) classification system was used for medication grouping. The frequent pattern growth algorithm was utilized to investigate the effect of medication combinations on COVID-19 outcomes. FindingsAspirin with chronic use in 10.8% of hospitalized COVID-19 patients was the most frequently used medication, followed by Atorvastatin (9.2%) and Losartan (8.0%). Adrenergics in combination with corticosteroids inhalants (ACIs) with an odds ratio (OR) of 0.79 (95% confidence interval: 0.68-0.92) were the most associated medications with less chance of ventilation therapy. Oxicams had the least OR of 0.80 (0.73-0.87) for COVID-19 death, followed by ACIs [0.85 (0.77-0.95)] and Biguanides [0.86 (0.82-0.91)]. ConclusionThe chronic use of most frequently used medications for NCDs management was not associated with poor COVID-19 outcomes. Thus, when indicated, physicians need to discourage patients with NCDs from discontinuing their medications for fear of possible adverse effects on COVID-19 prognosis.
引用
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页数:8
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