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Arterial Hypertension in Patients with COVID-19 - Neural Network Model

BACKGROUND: Angiotensin-converting enzyme 2 (ACE2) is not only an enzyme but also a functional receptor on cell surfaces through which Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). The exact mechanism by which arterial hypertension (particularly regulated) could affect the presentatio...

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Autores principales: Kadic, Faris, Begic, Edin, Pasic, Mirza, Gavrankapetanovic, Ali, Mujakovic, Aida, Pidro, Aida, Djozic, Ada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Medical sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226758/
https://www.ncbi.nlm.nih.gov/pubmed/35800913
http://dx.doi.org/10.5455/aim.2022.30.25-28
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author Kadic, Faris
Begic, Edin
Pasic, Mirza
Gavrankapetanovic, Ali
Mujakovic, Aida
Pidro, Aida
Djozic, Ada
author_facet Kadic, Faris
Begic, Edin
Pasic, Mirza
Gavrankapetanovic, Ali
Mujakovic, Aida
Pidro, Aida
Djozic, Ada
author_sort Kadic, Faris
collection PubMed
description BACKGROUND: Angiotensin-converting enzyme 2 (ACE2) is not only an enzyme but also a functional receptor on cell surfaces through which Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). The exact mechanism by which arterial hypertension (particularly regulated) could affect the presentation and outcome of Coronavirus disease-19 (COVID-19) has not been fully elucidated. OBJECTIVE: The aim of this study was to analyze the parameters of patients with verified COVID-19 and existing arterial hypertension at the time of hospital admission and to develop neural network model. METHODS: The research had a cross-sectional descriptive and analytical character, and included patients (n=634) who were hospitalized in the General Hospital “Prim. dr. Abdulah Nakas” in Sarajevo, Bosnia and Herzegovina, in the period from 01 Sep 2020 to 01 May 2021. From the hospital information system, which is used in everyday clinical work, laboratory parameters at admission were verified, along with demographic data, the comorbidities, while the outcome (recovery, death) was recorded thirty days after the admission. RESULTS: Out of the total number, in 314 patients (200 males), arterial hypertension was verified, out of which, 56 (17.83%) patients died. Patients were divided into two groups, according to outcome, i.e., whether they survived COVID-19 infection or not. A significant difference in age (p = 0.00), erythrocyte count (p = 0.03), haemoglobin (p = 0.05), hematocrit (p = 0.03), platelets count (p = 0.00), leukocytes (p = 0.01), neutrophils (p = 0.00), lymphocytes (p = 0.00), monocytes (p = 0.00), basophils (p = 0.00), eosinophils (p = 0.00), C-reactive protein (p = 0.00) and D-dimer (p = 0.01) was noted. When patients who died and had hypertension were compared with those who died and did not have hypertension (n = 15), out of alll the analyzed parameters, the only significant difference was established in the patient’s age (p = 0.00). In case when patients with hypertension who died were compared to patients with hypertension and diabetes mellitus who died no significant differences were found between features. CONCLUSION: Patients with hypertension and COVID-19 who died were older, had higher values of erythrocytes, hemoglobin, hematocrit, leukocytes, neutrophils, CRP and D-dimer, and lower values of platelets, lymphocytes, monocytes, basophils and eosinophils count at admission. Compared to deaths without hypertension, the only difference that was established was that patients with hypertension were older.
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spelling pubmed-92267582022-07-06 Arterial Hypertension in Patients with COVID-19 - Neural Network Model Kadic, Faris Begic, Edin Pasic, Mirza Gavrankapetanovic, Ali Mujakovic, Aida Pidro, Aida Djozic, Ada Acta Inform Med Original Paper BACKGROUND: Angiotensin-converting enzyme 2 (ACE2) is not only an enzyme but also a functional receptor on cell surfaces through which Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). The exact mechanism by which arterial hypertension (particularly regulated) could affect the presentation and outcome of Coronavirus disease-19 (COVID-19) has not been fully elucidated. OBJECTIVE: The aim of this study was to analyze the parameters of patients with verified COVID-19 and existing arterial hypertension at the time of hospital admission and to develop neural network model. METHODS: The research had a cross-sectional descriptive and analytical character, and included patients (n=634) who were hospitalized in the General Hospital “Prim. dr. Abdulah Nakas” in Sarajevo, Bosnia and Herzegovina, in the period from 01 Sep 2020 to 01 May 2021. From the hospital information system, which is used in everyday clinical work, laboratory parameters at admission were verified, along with demographic data, the comorbidities, while the outcome (recovery, death) was recorded thirty days after the admission. RESULTS: Out of the total number, in 314 patients (200 males), arterial hypertension was verified, out of which, 56 (17.83%) patients died. Patients were divided into two groups, according to outcome, i.e., whether they survived COVID-19 infection or not. A significant difference in age (p = 0.00), erythrocyte count (p = 0.03), haemoglobin (p = 0.05), hematocrit (p = 0.03), platelets count (p = 0.00), leukocytes (p = 0.01), neutrophils (p = 0.00), lymphocytes (p = 0.00), monocytes (p = 0.00), basophils (p = 0.00), eosinophils (p = 0.00), C-reactive protein (p = 0.00) and D-dimer (p = 0.01) was noted. When patients who died and had hypertension were compared with those who died and did not have hypertension (n = 15), out of alll the analyzed parameters, the only significant difference was established in the patient’s age (p = 0.00). In case when patients with hypertension who died were compared to patients with hypertension and diabetes mellitus who died no significant differences were found between features. CONCLUSION: Patients with hypertension and COVID-19 who died were older, had higher values of erythrocytes, hemoglobin, hematocrit, leukocytes, neutrophils, CRP and D-dimer, and lower values of platelets, lymphocytes, monocytes, basophils and eosinophils count at admission. Compared to deaths without hypertension, the only difference that was established was that patients with hypertension were older. Academy of Medical sciences 2022-03 /pmc/articles/PMC9226758/ /pubmed/35800913 http://dx.doi.org/10.5455/aim.2022.30.25-28 Text en © 2022 Faris Kadic, Edin Begic, Mirza Pasic, Ali Gavrankapetanovic,Aida Mujakovic, Aida Pidro, Ada Djozic https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Kadic, Faris
Begic, Edin
Pasic, Mirza
Gavrankapetanovic, Ali
Mujakovic, Aida
Pidro, Aida
Djozic, Ada
Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title_full Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title_fullStr Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title_full_unstemmed Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title_short Arterial Hypertension in Patients with COVID-19 - Neural Network Model
title_sort arterial hypertension in patients with covid-19 - neural network model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226758/
https://www.ncbi.nlm.nih.gov/pubmed/35800913
http://dx.doi.org/10.5455/aim.2022.30.25-28
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