Fatih Uzer

Dr. Fatih Uzer


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 January 2025 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
ACAliye Gamze Calis
Aliye Gamze Calis
BKBurcu Karaboga
Burcu Karaboga
FUFatih Uzer
Fatih Uzer
NKNermin Kaplan
Nermin Kaplan
MKMustafa Karaca
Mustafa Karaca
ADAhmet Alper Durmuş
Ahmet Alper Durmuş
Background/Objectives: Community-acquired pneumonia is a major cause of morbidity and mortality, and various scoring systems and laboratory assessments are available for predicting prognosis. The untapped potential of combining the neutrophil/lymphocyte ratio (NLR) with the monocyte/lymphocyte ratio (MLR) and platelet/lymphocyte ratio (PLR) and their correlation with the pneumonia severity index (PSI) and CURB-65 motivated our research. We thought that this would provide more robust data for predicting CAP prognosis. We aimed to assess hematologic parameters’ associations with the PSI, CURB-65, and qSOFA scores for predicting the prognosis of hospitalized CAP patients. DESIGN AND SETTING: This is a multicenter, observational study conducted in three hospitals in Türkiye, Antalya. Methods: A total of 343 patients hospitalized with CAP in three centers in Turkey, Antalya, between 1 January 2020 and 30 September 2023 were retrospectively enrolled. The demographic data, comorbidities, vital signs, radiological images, laboratory findings, and 30-day mortality results of the patients were recorded. CURB-65, PSI, and qSOFA scores were calculated. Results: This study included 163 females (47%) with an average age of 74 ± 11.8. Hospital mortality occurred in 51 patients. Non-survivor CAP cases had higher ages (p = 0.007), CURB-65 scores (p < 0.001), PSIs (p < 0.001), and qSOFA scores (p < 0.001) and a longer hospital stay (p = 0.001) and total antibiotic duration (p < 0.001). Additionally, the NLR (p = 0.009), MLR (p = 0.018), and PLR (p = 0.025) were higher in the non-survivor group. The CURB-65, PSI, and qSOFA scores demonstrated strong predictive capabilities for in-hospital mortality. In the ROC analysis conducted to predict in-hospital mortality, the area under the curve (AUC) for CURB-65, the PSI, and qSOFA was determined to be 0.83, 0.82, and 0.82, respectively. The NLR correlated positively with CURB-65, the PSI, and qSOFA; the PLR correlated with the PSI and qSOFA; and the MLR correlated with CURB-65. Conclusions: CURB-65 and PSI scores remain highly effective for predicting in-hospital mortality in CAP patients, as demonstrated by their superior AUC values. While the NLR, MLR, and PLR showed weak predictive performance compared to these scores, their correlations suggest their potential as adjunctive markers.

14 November 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
FUFatih Uzer
Fatih Uzer
BKBurcu Karaboğa
Burcu Karaboğa
ACAliye Gamze Calis
Aliye Gamze Calis
NKNermin Kaplan
Nermin Kaplan
EAEmsal Sema Altınöz
Emsal Sema Altınöz
MKMustafa Karaca
Mustafa Karaca
Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally, and factors such as biomass exposure, demographic characteristics, and comorbidities significantly influence patient outcomes during exacerbations. Aim: This study aims to clarify the impact of patient characteristics on key hospital outcomes, including ICU admissions, hospital length of stay, and in-hospital mortality, focusing on the contextual role of biomass exposure rather than its direct impact. Methods: Using a multicenter, retrospective cohort design, we analyzed the medical records of patients admitted with COPD exacerbations from January 2021 to December 2023. Eligible patients were over 40 years old with confirmed COPD exacerbation, excluding those with other significant lung conditions, severe organ dysfunction, or incomplete data. The collected data included demographics, smoking history, comorbidities, medications, laboratory results, and clinical outcomes, with smoking status categorized into current, former, or never smokers. Results: Our analysis comprised 334 patients with a mean age of 69 ± 8.8 years, including 52 (15.6%) females. Biomass exposure, observed in 22% of patients, was associated with a higher likelihood of being female (p < 0.001), lower smoking rates (p < 0.001), higher prevalence of diabetes mellitus type 2 (p = 0.020), lower peripheral blood eosinophilia (p = 0.001), increased intensive care unit (ICU) admissions (p = 0.034), and higher in-hospital mortality (p = 0.043). Non-survivors tended to be older and had a higher prevalence of hypertension, a history of childhood pneumonia, longer COPD duration, greater need for non-invasive ventilation (NIV) during hospitalization, and more frequent ICU admissions. Univariate Cox regression analysis revealed no significant associations between characteristics and outcomes. Conclusions: Patients with biomass exposure were more likely to be female and had higher rates of ICU admission and in-hospital mortality.