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In the field of critical care medicine, substantial research efforts have focused on identifying high-risk patient groups. This research has led to the development of diverse diagnostic tools, ranging from basic biomarkers to complex indexes and predictive algorithms that integrate multiple methods. Given the ever-evolving landscape of medicine, driven by rapid advancements, changing treatment strategies, and emerging diseases, the development and validation of diagnostic tools remains an ongoing and dynamic process. Specific changes in complete blood count components, such as neutrophils, lymphocytes, monocytes, and platelets, are key immune system responses influenced by various factors and crucial in systemic inflammation, injury, and stress. It has been reported that indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and delta neutrophil index calculated using various ratios of these elements, are important predictors of various outcomes in conditions where the inflammatory process is at the forefront. In this narrative review, we concluded that NLR, PLR, SII, and SIRI show promise in predicting outcomes for different health conditions related to inflammation. While these tests are accessible, reliable, and cost-effective, their standalone predictive performance for a specific condition is limited.
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Heart failure is a clinical syndrome. In this study, the significance of the blood urea nitrogen-to-left ventricular ejection fraction (BUNLVEF) ratio in predicting short-term mortality in patients with heart failure symptoms was evaluated. This retrospectively designed study was conducted by evaluating the records of patients with a history of heart failure who presented to the emergency department with heart failure symptoms and signs from 01 January 2018 to 01 January 2020. One hundred and seventy-three patients were included in the sample within the last six months presented to the emergency department with the symptoms of acute heart failure. Blood urea nitrogen (BUN) and the BUNLVEF ratio had a significant relationship with mortality (p=0.004 and <0.010, respectively). In patients with a known history of heart failure presenting to the emergency department with heart failure symptoms, it would be more appropriate to evaluate poor outcomes with the BUNLVEF ratio rather than the LVEF or BUN value alone. Key Words: Blood urea nitrogen, Prognosis, Left ventricular dysfunction.
Asunto(s)
Insuficiencia Cardíaca , Función Ventricular Izquierda , Humanos , Volumen Sistólico , Nitrógeno de la Urea Sanguínea , Estudios Retrospectivos , Insuficiencia Cardíaca/diagnóstico , Pronóstico , Servicio de Urgencia en HospitalRESUMEN
OBJECTIVES: There is no sufficient data to provide a clear picture of out-of-hospital cardiac arrest (OHCA) across Türkiye. This study is the first to present the prognostic outcomes of OHCA cases and the factors associated with these outcomes. MATERIALS AND METHODS: The study was conducted in a prospective, observational, multicenter design under the leadership of the Emergency Medicine Association of Turkey Resuscitation Study Group. OHCA cases aged 18 years and over who were admitted to 28 centers from Türkiye were included in the study. Survived event, return of spontaneous circulation (ROSC), survival to hospital discharge, and neurological outcome at discharge were investigated as primary outcomes. RESULTS: One thousand and three patients were included in the final analysis. 61.1% of the patients were male, and the average age was 67.0 ± 15.2. Cardiopulmonary resuscitation (CPR) was performed on 86.5% of the patients in the prehospital period by emergency medical service, and bystander CPR was performed on only 2.9% by nonhealth-care providers. As a result, the survived event rate was found to be 6.9%. The survival rate upon hospital discharge was 4.4%, with 2.7% of patients achieving a good neurological outcome upon discharge. In addition, the overall ROSC and sustained ROSC rates were 45.2% and 33.4%, respectively. In the multiple logistic regression analysis, male gender, initial shockable rhythm, a shorter prehospital duration of CPR, and the lack of CPR requirement in the emergency department were determined to be independent predictors for the survival to hospital discharge. CONCLUSION: Compared to global data, survival to hospital discharge and good neurological outcome rates appear to be lower in our study. We conclude that this result is related to low bystander CPR rates. Although not the focus of this study, inadequate postresuscitative care and intensive care support should also be discussed in this regard. It is obvious that this issue should be carefully addressed through political moves in the health and social fields.
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SUMMARY OBJECTIVE: The aim of this study was to ascertain the long-term respiratory effects of COVID-19 pneumonia through pulmonary function tests in follow-ups at 1 and 6 months. METHODS: Our study was conducted between August 1, 2020 and April 30, 2021. At 1 month after discharge, follow-up evaluations, PFTs, and lung imaging were performed on patients aged above 18 years who had been diagnosed with COVID-19 pneumonia. In the 6th month, the PFTs were repeated for those with pulmonary dysfunction. RESULTS: A total of 219 patients (mean age, 49±11.9 years) were included. Pathological PFT results were noted in the 1st month for 80 patients and in the 6th month for 46 (7 had obstructive disorder, 15 had restrictive disorder, and 28 had small airway obstruction) patients. A significant difference was found between abnormal PFT results and patient-described dyspnea in the 1st month of follow-up. The 6-month PFT values (especially those for forced vital capacity) were statistically significantly lower in the patients for whom imaging did not indicate complete radiological improvement at the 1-month follow-up. No statistically significant difference was found between the severity of the first computed tomography findings or clinical condition on emergency admission and pulmonary dysfunction (Pearson's chi-square test, P=0.904; Fisher's exact test, P=0.727). CONCLUSION: It is important that patients with COVID-19 pneumonia be followed up for at least 1 month after discharge to be monitored for potential long-term lung damage. PFTs should be administered to those in whom ongoing dyspnea, which started with COVID-19, and/or full recovery were not identified in pulmonary imaging.