Cargando…
The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study
PURPOSE: Coronavirus increases mortality rate in people with underlying disease. The purpose of the present research was to compare the clinical outcomes in Covid-19 patients with and without underlying diabetes disease using propensity score matching. METHODS: A matched case–control study was condu...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556822/ https://www.ncbi.nlm.nih.gov/pubmed/34746038 http://dx.doi.org/10.1007/s40200-021-00922-z |
_version_ | 1784592248911953920 |
---|---|
author | Ghadamgahi, Fatemeh Tapak, Leili Bashirian, Saeid Amiri, Rahimpour Roshanaei, Ghodratollah |
author_facet | Ghadamgahi, Fatemeh Tapak, Leili Bashirian, Saeid Amiri, Rahimpour Roshanaei, Ghodratollah |
author_sort | Ghadamgahi, Fatemeh |
collection | PubMed |
description | PURPOSE: Coronavirus increases mortality rate in people with underlying disease. The purpose of the present research was to compare the clinical outcomes in Covid-19 patients with and without underlying diabetes disease using propensity score matching. METHODS: A matched case–control study was conducted on 459 diabetic patients with Covid-19 (case group) and 459 non-diabetic patients with Covid-19 (control group). Matching in two groups was performed using propensity score matching method. The effect of covariates on the clinical outcome of the patients (recovery-death) was assessed using logistic regression and the associations of factors with the patients' survival were determined using Cox proportional hazards regression model. Data were analyzed using R software. RESULTS: The mean (standard deviation) age of patients in the case and control groups were 65.77 (12.2) and 65.8 (12.24), respectively. 196 patients (43%) in the case group, and 249 patients (54%) in the control group were male (with P-value < 0.05). The logistic regression model showed that the variables of age, level of blood oxygen (SpO2), ICU admission, length of hospitalization, cancer and diabetes affected patients' death. Furthermore, the resuts of the Cox regression showed that the variables of age, level of blood oxygen (SpO2), ICU admission,cancer and diabetes were related to survival of the patients. It was found that diabetes was significantly associated with mortality from COVID-19 with odds ratio of 2.88 (95% CI: 1.80–4.69; P < 0.01) and hazard ratio of 1.45 (95% CI: 1.01–2.03; P = 0.05). CONCLUSION: The underlying diabetes significantly increases the mortality among patients with Covid-19, so special care should be taken for this high risk group if they develop Covid-19. |
format | Online Article Text |
id | pubmed-8556822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-85568222021-11-01 The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study Ghadamgahi, Fatemeh Tapak, Leili Bashirian, Saeid Amiri, Rahimpour Roshanaei, Ghodratollah J Diabetes Metab Disord Research Article PURPOSE: Coronavirus increases mortality rate in people with underlying disease. The purpose of the present research was to compare the clinical outcomes in Covid-19 patients with and without underlying diabetes disease using propensity score matching. METHODS: A matched case–control study was conducted on 459 diabetic patients with Covid-19 (case group) and 459 non-diabetic patients with Covid-19 (control group). Matching in two groups was performed using propensity score matching method. The effect of covariates on the clinical outcome of the patients (recovery-death) was assessed using logistic regression and the associations of factors with the patients' survival were determined using Cox proportional hazards regression model. Data were analyzed using R software. RESULTS: The mean (standard deviation) age of patients in the case and control groups were 65.77 (12.2) and 65.8 (12.24), respectively. 196 patients (43%) in the case group, and 249 patients (54%) in the control group were male (with P-value < 0.05). The logistic regression model showed that the variables of age, level of blood oxygen (SpO2), ICU admission, length of hospitalization, cancer and diabetes affected patients' death. Furthermore, the resuts of the Cox regression showed that the variables of age, level of blood oxygen (SpO2), ICU admission,cancer and diabetes were related to survival of the patients. It was found that diabetes was significantly associated with mortality from COVID-19 with odds ratio of 2.88 (95% CI: 1.80–4.69; P < 0.01) and hazard ratio of 1.45 (95% CI: 1.01–2.03; P = 0.05). CONCLUSION: The underlying diabetes significantly increases the mortality among patients with Covid-19, so special care should be taken for this high risk group if they develop Covid-19. Springer International Publishing 2021-10-30 /pmc/articles/PMC8556822/ /pubmed/34746038 http://dx.doi.org/10.1007/s40200-021-00922-z Text en © Springer Nature Switzerland AG 2021 |
spellingShingle | Research Article Ghadamgahi, Fatemeh Tapak, Leili Bashirian, Saeid Amiri, Rahimpour Roshanaei, Ghodratollah The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title | The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title_full | The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title_fullStr | The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title_full_unstemmed | The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title_short | The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study |
title_sort | effect of underlying diabetes disease on clinical outcome and survival in patients with covid-19: a propensity score matching study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556822/ https://www.ncbi.nlm.nih.gov/pubmed/34746038 http://dx.doi.org/10.1007/s40200-021-00922-z |
work_keys_str_mv | AT ghadamgahifatemeh theeffectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT tapakleili theeffectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT bashiriansaeid theeffectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT amirirahimpour theeffectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT roshanaeighodratollah theeffectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT ghadamgahifatemeh effectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT tapakleili effectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT bashiriansaeid effectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT amirirahimpour effectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy AT roshanaeighodratollah effectofunderlyingdiabetesdiseaseonclinicaloutcomeandsurvivalinpatientswithcovid19apropensityscorematchingstudy |