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AIM: The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in-hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients. METHODS: This single-centre, cross-sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan-immune-inflammation value (PIV), systemic immune-inflammation-index (SII), systemic inflammation-response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs-CRP into the conventional NPS. The performance of these indices in determining in-hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses. RESULTS: Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in-hospital follow-up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in-hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in-hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well-calibrated and showed net clinical benefit in both cohorts. CONCLUSION: mNPS may be a stronger predictor of in-hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices.
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Aim: To compare the effectiveness of thromboembolic risk scores in determining in-hospital events of COVID-19 patients. Methods: This retrospective study included a total of 410 consecutive COVID-19 patients. Scores including CHA2DS2-VASc-HS (congestive heart failure, hypertension, age, diabetes mellitus, stroke/transient ischemic attack, vascular disease, sex, hyperlipidemia, smoking); modified R2CHA2DS2-VASc (CHA2DS2-VASc plus renal function), m-ATRIA (modified Anticoagulation and Risk Factors in Atrial Fibrillation score), ATRIA-HSV (ATRIA plus hyperlipidemia, smoking and vascular disease) and modified ATRIA-HSV were calculated. Participants were divided by in-hospital mortality status into two groups: alive and deceased. Results: Ninety-two (22.4%) patients died. Patients in the deceased group were older, predominantly male and had comorbid conditions. CHA2DS2-VASc-HS (adjusted odds ratio [aOR]: 1.31; p = 0.011), m-R2CHA2DS2-VASc (aOR: 1.33; p = 0.007), m-ATRIA (aOR: 1.18; p = 0.026), ATRIA-HSV (aOR: 1.18; p = 0.013) and m-ATRIA-HSV (aOR: 1.24; p = 0.001) scores were all associated with in-hospital mortality. m-R2CHA2DS2-VASc and modified ATRIA-HSV had the best discriminatory performance. Conclusion: We showed that m-R2CHA2DS2-VASc and m-ATRIA-HSV scores were better than the rest in predicting mortality among COVID-19 patients.
COVID-19 continues to be a pandemic that threatens human health all over the world. The main aim of our study was to examine the relationship between risk scores routinely used to determine the probability of clot formation in various cardiovascular diseases and in-hospital deaths of COVID-19 patients. The study comprised 410 adult patients hospitalized with a confirmed diagnosis of COVID-19. The clinical and laboratory data were obtained from the hospital registry system. All risk scores in the study were significantly greater in people who died from COVID-19 than in those who survived. Moreover, scoring systems that include kidney function outperformed the rest in determining in-hospital death. As a result, we discovered that specific risk scores used to indicate a person's likelihood of developing clot formation at a routine cardiology clinic are connected to in-hospital deaths among hospitalized COVID-19 patients.