Leukoglycemic Index may be a Unique Parameter to Predict Mortality in Patients with Acute Myocardial Infarction: Single Operator Experience

Fatih Kahraman; Halil İbrahim Durmuş; Oğuz Kılıç

Makale detayları

Leukoglycemic Index may be a Unique Parameter to Predict Mortality in Patients with Acute Myocardial Infarction: Single Operator Experience

Yazarlar:

Fatih Kahraman | Halil İbrahim Durmuş | Oğuz Kılıç

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 1, pp.118-123

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284740

pISSN:

2146-409X

Anahtar kelimeler:

Özet:

 Background and Aim: Predicting high-risk patients is crucial in acute myocardial infarction AMI. We aimed to investigate whether the leukoglycemic index LGI has a unique ability and to compare it with other inflammatory parameters in predicting in-hospital mortality in AMI. Methods: In this single-center study, we retrospectively analyzed all AMI patients hospitalized and followed by a single operator. Patients were divided into two according to in-hospital outcomes. Other inflammatory parameters systemic immune-inflammatory index, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, triglyceride-HDL ratio, and LDL-HDL ratio, C-reactive protein CRP, and LGI were calculated according to previously described criteria. Univariable and multivariable logistic regression analyses were used to find independent predictors. The receiver operating characteristic ROC curve was used to find the cut-off point of LGI and other parameters in predicting mortality. Results: A total of 304 patients with AMI were included in the study. The mean age was 62.1811.89 and 74 24.3 of patients were female. The total death rate was 19 6.3. In univariate variable analysis, LGI was found as a significant predictor of mortality p0.001. After adjusting risk factors age, coronary artery disease history, ejection fraction, CHA2DS2VASc score, creatinine, and CRP in multivariable analysis, LGI was still found as a significant predictor of short-term mortality. ROC curve analysis showed that the area under the curve was 0.837 0.704-0.971 with a sensitivity of 76.5 and with a specificity of 91.5 with a 3.39 cut-off value. Conclusion: Our study showed that LGI might be a unique parameter in predicting short-term mortality in AMI.

 Background and Aim: Predicting high-risk patients is crucial in acute myocardial infarction AMI. We aimed to investigate whether the leukoglycemic index LGI has a unique ability and to compare it with other inflammatory parameters in predicting in-hospital mortality in AMI. Methods: In this single-center study, we retrospectively analyzed all AMI patients hospitalized and followed by a single operator. Patients were divided into two according to in-hospital outcomes. Other inflammatory parameters systemic immune-inflammatory index, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, triglyceride-HDL ratio, and LDL-HDL ratio, C-reactive protein CRP, and LGI were calculated according to previously described criteria. Univariable and multivariable logistic regression analyses were used to find independent predictors. The receiver operating characteristic ROC curve was used to find the cut-off point of LGI and other parameters in predicting mortality. Results: A total of 304 patients with AMI were included in the study. The mean age was 62.1811.89 and 74 24.3 of patients were female. The total death rate was 19 6.3. In univariate variable analysis, LGI was found as a significant predictor of mortality p0.001. After adjusting risk factors age, coronary artery disease history, ejection fraction, CHA2DS2VASc score, creatinine, and CRP in multivariable analysis, LGI was still found as a significant predictor of short-term mortality. ROC curve analysis showed that the area under the curve was 0.837 0.704-0.971 with a sensitivity of 76.5 and with a specificity of 91.5 with a 3.39 cut-off value. Conclusion: Our study showed that LGI might be a unique parameter in predicting short-term mortality in AMI.

 Background and Aim: Predicting high-risk patients is crucial in acute myocardial infarction AMI. We aimed to investigate whether the leukoglycemic index LGI has a unique ability and to compare it with other inflammatory parameters in predicting in-hospital mortality in AMI. Methods: In this single-center study, we retrospectively analyzed all AMI patients hospitalized and followed by a single operator. Patients were divided into two according to in-hospital outcomes. Other inflammatory parameters systemic immune-inflammatory index, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, triglyceride-HDL ratio, and LDL-HDL ratio, C-reactive protein CRP, and LGI were calculated according to previously described criteria. Univariable and multivariable logistic regression analyses were used to find independent predictors. The receiver operating characteristic ROC curve was used to find the cut-off point of LGI and other parameters in predicting mortality. Results: A total of 304 patients with AMI were included in the study. The mean age was 62.1811.89 and 74 24.3 of patients were female. The total death rate was 19 6.3. In univariate variable analysis, LGI was found as a significant predictor of mortality p0.001. After adjusting risk factors age, coronary artery disease history, ejection fraction, CHA2DS2VASc score, creatinine, and CRP in multivariable analysis, LGI was still found as a significant predictor of short-term mortality. ROC curve analysis showed that the area under the curve was 0.837 0.704-0.971 with a sensitivity of 76.5 and with a specificity of 91.5 with a 3.39 cut-off value. Conclusion: Our study showed that LGI might be a unique parameter in predicting short-term mortality in AMI.

 Amaç: Akut miyokard enfarktüsünde AME yüksek riskli hastaları öngörmek çok önemlidir. Bu çalışmada lökoglisemik indeksin LGI AMEde hastane içi mortaliteyi öngörmede benzersiz bir yeteneği olup olmadığını araştırmayı ve diğer inflamatuar parametrelerle karşılaştırmayı amaçlanmıştır. Gereç ve Yöntemler: Bu tek merkezli çalışmada, hastaneye yatırılan ve tek operatör tarafından takip edilen tüm AME hastalarını retrospektif olarak inceledik. Hastalar hastane içi ölüm sonuçlarına göre ikiye ayrıldı. Diğer inflamatuar parametreler sistemik immun-inflamatuar indeks, platelet-lenfosit oranı, nötrofil-lenfosit oranı, trigliserit-HDL oranı ve LDL-HDL oranı, C-reaktif protein CRP ve LGI daha önce açıklanan kriterlere göre hesaplandı. Bağımsız yordayıcıları bulmak için tek değişkenli ve çok değişkenli lojistik regresyon analizi kullanıldı. Mortaliteyi öngörmede LGI ve diğer parametrelerin kestirim noktasını bulmak için receiver operator characteristic ROC eğrisi kullanıldı. Bulgular: Çalışmaya toplam 304 AMI hastası dahil edildi. Ortalama yaş 62,1811,89 olup hastaların 74ü 24,3 kadındı. Toplam ölüm oranı 19 6,3 idi. Tek değişkenli değişken analizinde LGI, mortalitenin anlamlı bir yordayıcısı olarak bulundu p0.001. Çok değişkenli analizde risk faktörleri yaş, koroner arter hastalığı öyküsü, ejeksiyon fraksiyonu, CHA2DS2VASc skoru, kreatinin ve CRP modele eklendikten sonra LGI, kısa vadeli mortalitenin önemli bir göstergesi olarak bulundu. ROC eğrisi analizi, eğri altında kalan alanın 0,837 0,704-0,971 olduğunu, duyarlılığın 76,5 ve özgüllüğün 91,5 olduğunu ve 3,39 cut-off değerini gösterdi. Sonuç: Çalışmamız, LGInin AMIde kısa vadeli mortaliteyi tahmin etmede diğer parametrelere göre benzersiz bir parametre olabileceğini gösterdi.

Makale detayları

Leukoglycemic Index may be a Unique Parameter to Predict Mortality in Patients with Acute Myocardial Infarction: Single Operator Experience

Yazarlar:

Fatih Kahraman | Halil İbrahim Durmuş | Oğuz Kılıç

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 1, pp.118-123

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284740

pISSN:

2146-409X

lökoglisemik indeks

akut miyokard enfaktüsü

mortalite

leukoglycemic index

acute myocardial infarction

mortality

leukoglycemic index, acute myocardial infarction, mortality

lökoglisemik indeks

akut miyokard enfaktüsü

mortalite

leukoglycemic index

acute myocardial infarction

mortality

Sayı

Makale detayları

Yazarlar: Fatih Kahraman | Halil İbrahim Durmuş | Oğuz Kılıç

Yayıncı: Sakarya University

Ana Başlıklar: Sağlık Kurumları Yönetimi

Dergi: Sakarya Tıp Dergisi Vol.13 Issue 1, pp.118-123

Belge Tipi: Makale

Yayın Tarihi: 3/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001284740

pISSN: 2146-409X

Sayı

Yazarlar:

Fatih Kahraman | Halil İbrahim Durmuş | Oğuz Kılıç

Yayıncı:

Sakarya University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Sakarya Tıp Dergisi Vol.13 Issue 1, pp.118-123

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001284740

pISSN:

2146-409X