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Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases

BACKGROUND: Coronavirus disease 2019 (COVID-19) has been far more devastating than expected, showing no signs of slowing down at present. Heilongjiang Province is the most northeastern province of China, and has cold weather for nearly half a year and an annual temperature difference of more than 60...

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Autores principales: Wang, Lei, Gao, Yang, Zhang, Zhao-Jin, Pan, Chang-Kun, Wang, Ying, Zhu, Yu-Cheng, Qi, Yan-Peng, Xie, Feng-Jie, Du, Xue, Li, Na-Na, Chen, Peng-Fei, Yue, Chuang-Shi, Wu, Ji-Han, Wang, Xin-Tong, Tang, Yu-Jia, Lai, Qi-Qi, Kang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403670/
https://www.ncbi.nlm.nih.gov/pubmed/36159523
http://dx.doi.org/10.12998/wjcc.v10.i23.8161
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author Wang, Lei
Gao, Yang
Zhang, Zhao-Jin
Pan, Chang-Kun
Wang, Ying
Zhu, Yu-Cheng
Qi, Yan-Peng
Xie, Feng-Jie
Du, Xue
Li, Na-Na
Chen, Peng-Fei
Yue, Chuang-Shi
Wu, Ji-Han
Wang, Xin-Tong
Tang, Yu-Jia
Lai, Qi-Qi
Kang, Kai
author_facet Wang, Lei
Gao, Yang
Zhang, Zhao-Jin
Pan, Chang-Kun
Wang, Ying
Zhu, Yu-Cheng
Qi, Yan-Peng
Xie, Feng-Jie
Du, Xue
Li, Na-Na
Chen, Peng-Fei
Yue, Chuang-Shi
Wu, Ji-Han
Wang, Xin-Tong
Tang, Yu-Jia
Lai, Qi-Qi
Kang, Kai
author_sort Wang, Lei
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) has been far more devastating than expected, showing no signs of slowing down at present. Heilongjiang Province is the most northeastern province of China, and has cold weather for nearly half a year and an annual temperature difference of more than 60ºC, which increases the underlying morbidity associated with pulmonary diseases, and thus leads to lung dysfunction. The demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province, China with such climatic characteristics are still not clearly illustrated. AIM: To illustrate the demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province by comparing with those of surviving severe and critically ill cases. METHODS: COVID-19 deceased patients from different hospitals in Heilongjiang Province were included in this retrospective study and compared their characteristics with those of surviving severe and critically ill cases in the COVID-19 treatment center of the First Affiliated Hospital of Harbin Medical University. The surviving patients were divided into severe group and critically ill group according to the Diagnosis and Treatment of New Coronavirus Pneumonia (the seventh edition). Demographic data were collected and recorded upon admission. Laboratory parameters were obtained from the medical records, and then compared among the groups. RESULTS: Twelve COVID-19 deceased patients, 27 severe cases and 26 critically ill cases were enrolled in this retrospective study. No differences in age, gender, and number of comorbidities between groups were found. Neutrophil percentage (NEUT%), platelet (PLT), C-reactive protein (CRP), creatine kinase isoenzyme (CK-MB), serum troponin I (TNI) and brain natriuretic peptides (BNP) showed significant differences among the groups (P = 0.020, P = 0.001, P < 0.001, P = 0.001, P < 0.001, P < 0.001, respectively). The increase of CRP, D-dimer and NEUT% levels, as well as the decrease of lymphocyte count (LYMPH) and PLT counts, showed significant correlation with death of COVID-19 patients (P = 0.023, P = 0.008, P = 0.045, P = 0.020, P = 0.015, respectively). CONCLUSION: Compared with surviving severe and critically ill cases, no special demographic features of COVID-19 deceased patients were observed, while some laboratory parameters including NEUT%, PLT, CRP, CK-MB, TNI and BNP showed significant differences. COVID-19 deceased patients had higher CRP, D-dimer and NEUT% levels and lower LYMPH and PLT counts.
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spelling pubmed-94036702022-09-23 Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases Wang, Lei Gao, Yang Zhang, Zhao-Jin Pan, Chang-Kun Wang, Ying Zhu, Yu-Cheng Qi, Yan-Peng Xie, Feng-Jie Du, Xue Li, Na-Na Chen, Peng-Fei Yue, Chuang-Shi Wu, Ji-Han Wang, Xin-Tong Tang, Yu-Jia Lai, Qi-Qi Kang, Kai World J Clin Cases Retrospective Study BACKGROUND: Coronavirus disease 2019 (COVID-19) has been far more devastating than expected, showing no signs of slowing down at present. Heilongjiang Province is the most northeastern province of China, and has cold weather for nearly half a year and an annual temperature difference of more than 60ºC, which increases the underlying morbidity associated with pulmonary diseases, and thus leads to lung dysfunction. The demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province, China with such climatic characteristics are still not clearly illustrated. AIM: To illustrate the demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province by comparing with those of surviving severe and critically ill cases. METHODS: COVID-19 deceased patients from different hospitals in Heilongjiang Province were included in this retrospective study and compared their characteristics with those of surviving severe and critically ill cases in the COVID-19 treatment center of the First Affiliated Hospital of Harbin Medical University. The surviving patients were divided into severe group and critically ill group according to the Diagnosis and Treatment of New Coronavirus Pneumonia (the seventh edition). Demographic data were collected and recorded upon admission. Laboratory parameters were obtained from the medical records, and then compared among the groups. RESULTS: Twelve COVID-19 deceased patients, 27 severe cases and 26 critically ill cases were enrolled in this retrospective study. No differences in age, gender, and number of comorbidities between groups were found. Neutrophil percentage (NEUT%), platelet (PLT), C-reactive protein (CRP), creatine kinase isoenzyme (CK-MB), serum troponin I (TNI) and brain natriuretic peptides (BNP) showed significant differences among the groups (P = 0.020, P = 0.001, P < 0.001, P = 0.001, P < 0.001, P < 0.001, respectively). The increase of CRP, D-dimer and NEUT% levels, as well as the decrease of lymphocyte count (LYMPH) and PLT counts, showed significant correlation with death of COVID-19 patients (P = 0.023, P = 0.008, P = 0.045, P = 0.020, P = 0.015, respectively). CONCLUSION: Compared with surviving severe and critically ill cases, no special demographic features of COVID-19 deceased patients were observed, while some laboratory parameters including NEUT%, PLT, CRP, CK-MB, TNI and BNP showed significant differences. COVID-19 deceased patients had higher CRP, D-dimer and NEUT% levels and lower LYMPH and PLT counts. Baishideng Publishing Group Inc 2022-08-16 2022-08-16 /pmc/articles/PMC9403670/ /pubmed/36159523 http://dx.doi.org/10.12998/wjcc.v10.i23.8161 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Retrospective Study
Wang, Lei
Gao, Yang
Zhang, Zhao-Jin
Pan, Chang-Kun
Wang, Ying
Zhu, Yu-Cheng
Qi, Yan-Peng
Xie, Feng-Jie
Du, Xue
Li, Na-Na
Chen, Peng-Fei
Yue, Chuang-Shi
Wu, Ji-Han
Wang, Xin-Tong
Tang, Yu-Jia
Lai, Qi-Qi
Kang, Kai
Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title_full Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title_fullStr Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title_full_unstemmed Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title_short Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases
title_sort comparison of demographic features and laboratory parameters between covid-19 deceased patients and surviving severe and critically ill cases
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403670/
https://www.ncbi.nlm.nih.gov/pubmed/36159523
http://dx.doi.org/10.12998/wjcc.v10.i23.8161
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