Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19
BackgroundCOVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactiv...
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creator | Aksakal, Emrah Aydın, Sidar Ş Aydemir, Selim Saraç, İbrahim Aydınyılmaz, Faruk Özmen, Murat Gülcü, Oktay Birdal, Oğuzhan Kalkan, Kamuran Öztürk, Mustafa |
description | BackgroundCOVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality.Materials and methodsPatients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU.ResultsA total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission).Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the devel |
doi_str_mv | 10.7759/cureus.46141 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10612987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2884559557</sourcerecordid><originalsourceid>FETCH-LOGICAL-c277t-68bd6de9ededbf62263028ff390629b0e2692500180100b58949187e9e9578bf3</originalsourceid><addsrcrecordid>eNpdkUtLxTAQhYsoKOrOHxBw48JqktvmsRKtrwuKgq9lSJupN9I21yQV9Neb6xVRVzNDvjnMycmyHYIPOC_lYTN6GMNBwUhBVrINSpjIBRHF6q9-PdsO4QVjTDCnmOONzFXaG6sbdKu97iGCD-gEYqro1oOxTUTT6gEdm96GYN2A9GDQ3cz5mN-D79F16nRn4zuyA7p0YW4X4weYJBgtDDGgJxtnqLp5nJ7mRG5la63uAmx_183s4fzsvrrMr24uptXxVd5QzmPORG2YAQkGTN0yStkEU9G2E4kZlTUGyiQtkw-RrOC6FLKQRPC0IEsu6naymR0tdedj3YNp0iVed2ruba_9u3Laqr8vg52pZ_emCGaESsGTwt63gnevI4So0hc00HV6ADcGRYUoiCCYLNDdf-iLG_2Q_H1RZSnLckHtL6nGuxA8tD_XEKwWEaplhOorwsknZiyPkw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2884559557</pqid></control><display><type>article</type><title>Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19</title><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Aksakal, Emrah ; Aydın, Sidar Ş ; Aydemir, Selim ; Saraç, İbrahim ; Aydınyılmaz, Faruk ; Özmen, Murat ; Gülcü, Oktay ; Birdal, Oğuzhan ; Kalkan, Kamuran ; Öztürk, Mustafa</creator><creatorcontrib>Aksakal, Emrah ; Aydın, Sidar Ş ; Aydemir, Selim ; Saraç, İbrahim ; Aydınyılmaz, Faruk ; Özmen, Murat ; Gülcü, Oktay ; Birdal, Oğuzhan ; Kalkan, Kamuran ; Öztürk, Mustafa</creatorcontrib><description>BackgroundCOVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality.Materials and methodsPatients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU.ResultsA total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission).Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the development of mortality and ICU admission better than other parameters.DiscussionCOVID-19 can cause problems in different systems as a result of an inflammatory response, secreted cytokines, hypercoagulability, and direct tissue damage. When treating patients, a more appropriate approach is to evaluate different parameters together rather than focusing on a single parameter and deciding accordingly. However, evaluating alterations in many parameters in a disease that affects many systems is difficult and increases the risk of mistakes. Although each blood parameter separately is important, it was observed that the cardiac parameters troponin I and BNP have better predictive values than others in predicting the course and prognosis of COVID-19.ConclusionBlood parameters are used in COVID-19 diagnosis, treatment, and follow-up. Although it is not primarily a cardiac disease, cardiac markers can provide better results in showing the course and prognosis of COVID-19.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.46141</identifier><language>eng</language><publisher>Palo Alto: Cureus Inc</publisher><subject>Automation ; Blood pressure ; Blood tests ; Cardiology ; Cardiovascular disease ; Chronic obstructive pulmonary disease ; Coronary vessels ; COVID-19 ; Creatinine ; Diabetes ; Hospitalization ; Hospitals ; Hypertension ; Infectious Disease ; Intensive care ; Kinases ; Medical diagnosis ; Medical prognosis ; Mortality ; Other ; Oxygen therapy ; Patients ; Peptides ; Polymerase chain reaction ; Regression analysis ; Severe acute respiratory syndrome coronavirus 2 ; Tomography ; Vein & artery diseases</subject><ispartof>Curēus (Palo Alto, CA), 2023-09, Vol.15 (9), p.e46141-e46141</ispartof><rights>Copyright © 2023, Aksakal et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2023, Aksakal et al. 2023 Aksakal et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c277t-68bd6de9ededbf62263028ff390629b0e2692500180100b58949187e9e9578bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612987/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612987/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27902,27903,53768,53770</link.rule.ids></links><search><creatorcontrib>Aksakal, Emrah</creatorcontrib><creatorcontrib>Aydın, Sidar Ş</creatorcontrib><creatorcontrib>Aydemir, Selim</creatorcontrib><creatorcontrib>Saraç, İbrahim</creatorcontrib><creatorcontrib>Aydınyılmaz, Faruk</creatorcontrib><creatorcontrib>Özmen, Murat</creatorcontrib><creatorcontrib>Gülcü, Oktay</creatorcontrib><creatorcontrib>Birdal, Oğuzhan</creatorcontrib><creatorcontrib>Kalkan, Kamuran</creatorcontrib><creatorcontrib>Öztürk, Mustafa</creatorcontrib><title>Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19</title><title>Curēus (Palo Alto, CA)</title><description>BackgroundCOVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality.Materials and methodsPatients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU.ResultsA total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission).Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the development of mortality and ICU admission better than other parameters.DiscussionCOVID-19 can cause problems in different systems as a result of an inflammatory response, secreted cytokines, hypercoagulability, and direct tissue damage. When treating patients, a more appropriate approach is to evaluate different parameters together rather than focusing on a single parameter and deciding accordingly. However, evaluating alterations in many parameters in a disease that affects many systems is difficult and increases the risk of mistakes. Although each blood parameter separately is important, it was observed that the cardiac parameters troponin I and BNP have better predictive values than others in predicting the course and prognosis of COVID-19.ConclusionBlood parameters are used in COVID-19 diagnosis, treatment, and follow-up. Although it is not primarily a cardiac disease, cardiac markers can provide better results in showing the course and prognosis of COVID-19.</description><subject>Automation</subject><subject>Blood pressure</subject><subject>Blood tests</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Coronary vessels</subject><subject>COVID-19</subject><subject>Creatinine</subject><subject>Diabetes</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Infectious Disease</subject><subject>Intensive care</subject><subject>Kinases</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Other</subject><subject>Oxygen therapy</subject><subject>Patients</subject><subject>Peptides</subject><subject>Polymerase chain reaction</subject><subject>Regression analysis</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Tomography</subject><subject>Vein & artery diseases</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkUtLxTAQhYsoKOrOHxBw48JqktvmsRKtrwuKgq9lSJupN9I21yQV9Neb6xVRVzNDvjnMycmyHYIPOC_lYTN6GMNBwUhBVrINSpjIBRHF6q9-PdsO4QVjTDCnmOONzFXaG6sbdKu97iGCD-gEYqro1oOxTUTT6gEdm96GYN2A9GDQ3cz5mN-D79F16nRn4zuyA7p0YW4X4weYJBgtDDGgJxtnqLp5nJ7mRG5la63uAmx_183s4fzsvrrMr24uptXxVd5QzmPORG2YAQkGTN0yStkEU9G2E4kZlTUGyiQtkw-RrOC6FLKQRPC0IEsu6naymR0tdedj3YNp0iVed2ruba_9u3Laqr8vg52pZ_emCGaESsGTwt63gnevI4So0hc00HV6ADcGRYUoiCCYLNDdf-iLG_2Q_H1RZSnLckHtL6nGuxA8tD_XEKwWEaplhOorwsknZiyPkw</recordid><startdate>20230928</startdate><enddate>20230928</enddate><creator>Aksakal, Emrah</creator><creator>Aydın, Sidar Ş</creator><creator>Aydemir, Selim</creator><creator>Saraç, İbrahim</creator><creator>Aydınyılmaz, Faruk</creator><creator>Özmen, Murat</creator><creator>Gülcü, Oktay</creator><creator>Birdal, Oğuzhan</creator><creator>Kalkan, Kamuran</creator><creator>Öztürk, Mustafa</creator><general>Cureus Inc</general><general>Cureus</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230928</creationdate><title>Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19</title><author>Aksakal, Emrah ; Aydın, Sidar Ş ; Aydemir, Selim ; Saraç, İbrahim ; Aydınyılmaz, Faruk ; Özmen, Murat ; Gülcü, Oktay ; Birdal, Oğuzhan ; Kalkan, Kamuran ; Öztürk, Mustafa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-68bd6de9ededbf62263028ff390629b0e2692500180100b58949187e9e9578bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Automation</topic><topic>Blood pressure</topic><topic>Blood tests</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Coronary vessels</topic><topic>COVID-19</topic><topic>Creatinine</topic><topic>Diabetes</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Infectious Disease</topic><topic>Intensive care</topic><topic>Kinases</topic><topic>Medical diagnosis</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Other</topic><topic>Oxygen therapy</topic><topic>Patients</topic><topic>Peptides</topic><topic>Polymerase chain reaction</topic><topic>Regression analysis</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Tomography</topic><topic>Vein & artery diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aksakal, Emrah</creatorcontrib><creatorcontrib>Aydın, Sidar Ş</creatorcontrib><creatorcontrib>Aydemir, Selim</creatorcontrib><creatorcontrib>Saraç, İbrahim</creatorcontrib><creatorcontrib>Aydınyılmaz, Faruk</creatorcontrib><creatorcontrib>Özmen, Murat</creatorcontrib><creatorcontrib>Gülcü, Oktay</creatorcontrib><creatorcontrib>Birdal, Oğuzhan</creatorcontrib><creatorcontrib>Kalkan, Kamuran</creatorcontrib><creatorcontrib>Öztürk, Mustafa</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aksakal, Emrah</au><au>Aydın, Sidar Ş</au><au>Aydemir, Selim</au><au>Saraç, İbrahim</au><au>Aydınyılmaz, Faruk</au><au>Özmen, Murat</au><au>Gülcü, Oktay</au><au>Birdal, Oğuzhan</au><au>Kalkan, Kamuran</au><au>Öztürk, Mustafa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><date>2023-09-28</date><risdate>2023</risdate><volume>15</volume><issue>9</issue><spage>e46141</spage><epage>e46141</epage><pages>e46141-e46141</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>BackgroundCOVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality.Materials and methodsPatients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU.ResultsA total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission).Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the development of mortality and ICU admission better than other parameters.DiscussionCOVID-19 can cause problems in different systems as a result of an inflammatory response, secreted cytokines, hypercoagulability, and direct tissue damage. When treating patients, a more appropriate approach is to evaluate different parameters together rather than focusing on a single parameter and deciding accordingly. However, evaluating alterations in many parameters in a disease that affects many systems is difficult and increases the risk of mistakes. Although each blood parameter separately is important, it was observed that the cardiac parameters troponin I and BNP have better predictive values than others in predicting the course and prognosis of COVID-19.ConclusionBlood parameters are used in COVID-19 diagnosis, treatment, and follow-up. Although it is not primarily a cardiac disease, cardiac markers can provide better results in showing the course and prognosis of COVID-19.</abstract><cop>Palo Alto</cop><pub>Cureus Inc</pub><doi>10.7759/cureus.46141</doi><oa>free_for_read</oa></addata></record> |
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subjects | Automation Blood pressure Blood tests Cardiology Cardiovascular disease Chronic obstructive pulmonary disease Coronary vessels COVID-19 Creatinine Diabetes Hospitalization Hospitals Hypertension Infectious Disease Intensive care Kinases Medical diagnosis Medical prognosis Mortality Other Oxygen therapy Patients Peptides Polymerase chain reaction Regression analysis Severe acute respiratory syndrome coronavirus 2 Tomography Vein & artery diseases |
title | Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19 |
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