A Potent Predictor of Poor COVID-19 Outcomes: Troponin/ Creatine Kinase-MB Ratio

Avsar Zerman; Cihan Aydin; Nermin Zerman

Makale detayları

A Potent Predictor of Poor COVID-19 Outcomes: Troponin/ Creatine Kinase-MB Ratio

Yazarlar:

Avsar Zerman | Cihan Aydin | Nermin Zerman

Yayıncı:

Kirsehir Ahi Evran University

Ana Başlıklar:

Göğüs Hastalıkları | Yoğun Bakım

Dergi:

Ahi Evran Tıp Dergisi Vol.8 Issue 3, pp.266-273

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330301

pISSN:

2619-9203

Anahtar kelimeler:

Özet:

 Purpose: In this study, we aimed to derive significant implications by evaluating the predictive value of the troponinCK-MB ratio, which has not been studied in previous research. Materials and Methods: We screened all COVID-19 patients admitted to the intensive care unitICU between April 2020 and September 2022. All medical records, laboratory results, and in-hospital mortality were recorded. Results: We included 182 patients in this study. The overall correct classification rate of the proposed model was 83.0. The Nagelkerke R² value explained 55.8 of the variance in mortality. The most predictive variable was the troponinCK-MB ratio. An increase of 1 unit in the troponinCK-MB ratio elevated the mortality risk by 108.90 times. A cut-off value for the troponinCK-MB ratio, identified as the most predictive laboratory parameter, was determined to be 0.00745. Conclusion: The TroponinCK-MB ratio has the potential to predict in-hospital mortality in COVID-19 patients. In the management of COVID-19 in the ICU, this ratio should be used to predict poor outcomes, assisting physicians in determining the optimal follow-up care for these patients.

 Purpose: In this study, we aimed to derive significant implications by evaluating the predictive value of the troponinCK-MB ratio, which has not been studied in previous research. Materials and Methods: We screened all COVID-19 patients admitted to the intensive care unitICU between April 2020 and September 2022. All medical records, laboratory results, and in-hospital mortality were recorded. Results: We included 182 patients in this study. The overall correct classification rate of the proposed model was 83.0. The Nagelkerke R² value explained 55.8 of the variance in mortality. The most predictive variable was the troponinCK-MB ratio. An increase of 1 unit in the troponinCK-MB ratio elevated the mortality risk by 108.90 times. A cut-off value for the troponinCK-MB ratio, identified as the most predictive laboratory parameter, was determined to be 0.00745. Conclusion: The TroponinCK-MB ratio has the potential to predict in-hospital mortality in COVID-19 patients. In the management of COVID-19 in the ICU, this ratio should be used to predict poor outcomes, assisting physicians in determining the optimal follow-up care for these patients.

 Purpose: In this study, we aimed to derive significant implications by evaluating the predictive value of the troponinCK-MB ratio, which has not been studied in previous research. Materials and Methods: We screened all COVID-19 patients admitted to the intensive care unitICU between April 2020 and September 2022. All medical records, laboratory results, and in-hospital mortality were recorded. Results: We included 182 patients in this study. The overall correct classification rate of the proposed model was 83.0. The Nagelkerke R² value explained 55.8 of the variance in mortality. The most predictive variable was the troponinCK-MB ratio. An increase of 1 unit in the troponinCK-MB ratio elevated the mortality risk by 108.90 times. A cut-off value for the troponinCK-MB ratio, identified as the most predictive laboratory parameter, was determined to be 0.00745. Conclusion: The TroponinCK-MB ratio has the potential to predict in-hospital mortality in COVID-19 patients. In the management of COVID-19 in the ICU, this ratio should be used to predict poor outcomes, assisting physicians in determining the optimal follow-up care for these patients.

 Amaç: Bu çalışmada daha önce yapılan çalışmalarda çalışılmayan troponinCK-MB oranının öngörüsünü değerlendirerek belirleyici çıkarımlar elde etmeyi amaçladık. Araçlar ve Yöntem: Nisan 2020 ile Eylül 2022 tarihleri arasında yoğun bakım ünitesine YBÜ kabul edilen tüm COVID-19 hastalarını taradık. Tüm tıbbi kayıtlar, laboratuvar sonuçları ve hastane içi ölüm kaydedildi. Bulgular: Bu çalışmaya 182 hastayı dahil ettik. Amaçlanan modelin genel doğru sınıflandırma oranı 83.0dır. Nagelkerke R2 değeri incelendiğinde mortalitedeki varyansın 55.8ini açıklamaktadır. En belirleyici değişken troponinCK-MB oranıydı. TroponinCK-MB oranındaki 1 birimlik artış ölüm riskini 108.90 kat artırdı. TroponinCK-MB oranı için en belirleyici laboratuvar parametresi olan kesme değeri 0.00745 olarak belirlendi. Sonuç: TroponinCK-MB oranının hastane içi COVID-19 mortalitesini öngörmede potansiyel bir etkisi vardır. Yoğun bakımda COVİD-19 yönetiminde kötü sonuçları tahmin etmek için TroponinCK-MB oranı kullanılmalıdır. Dolayısıyla hekimlerin COVID-19un optimal takibini yönetmelerine yardımcı olabilir.

Makale detayları

A Potent Predictor of Poor COVID-19 Outcomes: Troponin/ Creatine Kinase-MB Ratio

Yazarlar:

Avsar Zerman | Cihan Aydin | Nermin Zerman

Yayıncı:

Kirsehir Ahi Evran University

Ana Başlıklar:

Göğüs Hastalıkları | Yoğun Bakım

Dergi:

Ahi Evran Tıp Dergisi Vol.8 Issue 3, pp.266-273

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330301

pISSN:

2619-9203

cardiovascular abnormalities

innate inflammatory response

mortality rate

SARS-CoV-2doğuştan gelen inflamatuar yanıt

kardiyovasküler anormallikler

ölüm oranı

SARS-CoV-2

Sayı

Makale detayları

Yazarlar: Avsar Zerman | Cihan Aydin | Nermin Zerman

Yayıncı: Kirsehir Ahi Evran University

Ana Başlıklar: Göğüs Hastalıkları | Yoğun Bakım

Dergi: Ahi Evran Tıp Dergisi Vol.8 Issue 3, pp.266-273

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001330301

pISSN: 2619-9203

Sayı

Yazarlar:

Avsar Zerman | Cihan Aydin | Nermin Zerman

Yayıncı:

Kirsehir Ahi Evran University

Ana Başlıklar:

Göğüs Hastalıkları | Yoğun Bakım

Dergi:

Ahi Evran Tıp Dergisi Vol.8 Issue 3, pp.266-273

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330301

pISSN:

2619-9203