Wos İndeksli Yayınlar Koleksiyonu

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    High pretreatment systemic immune-inflammation index values are associated with diminished short-term success after temporomandibular joint arthrocentesis procedure
    (2021) Somay, Efsun; Yilmaz, Busra; 0000-0003-0633-5648; 0000-0001-8251-6913; 34654426
    Background The systemic immune-inflammation index (SII) has been demonstrated to be a valid biomarker of a patient's immunological and inflammatory state, with the ability to accurately predict outcomes in a variety of disease conditions. In the absence of comparable studies, we intended to examine the relevance of pretreatment SII in predicting the success rates of temporomandibular joint arthrocentesis (TMJA) at 1-week, 1-month, and 6-month periods, defined as maximum mouth opening (MMO) > 35 mm and VAS <= 3. Methods A sum of 136 patients with disc displacement without reduction (DDwo-red) who underwent TMJA was included. For each patient, pre-TMJA SII was calculated as; SII = Platelets x neutrophils/lymphocytes. Additionally, baseline MMO and VAS measurements were recorded for each patient. The success criteria of TMJA included MMO > 35 mm and VAS <= 3. The optimal pre-TMJA SII cutoff that predicts TMJA success was determined using receiver operating characteristic (ROC) curve analysis. The primary endpoint was the link between the pre-treatment SII and TMJA success (simultaneous achievement of MMO > 35 mm and VAS <= 3). Results The median pre-TMJA jaw locking duration, maximum mouth opening (MMO), and visual analog score (VAS) were 7 days, 24 mm, and 8, respectively. The overall TMJA success rates were determined as 80.1%, 91.9%, and 69.1% at 1-week, 1-month, and 6-months, respectively. The results of ROC curve analysis exhibited the optimal SII cutoff at 526 (AUC: 67.4%; sensitivity: 66.7%; specificity: 64.2%) that grouped the patients into two subgroups: Group 1: SII <= 526 (N = 81) and SII > 526 (N = 55), respectively. Spearman correlation analysis revealed a strong inverse relationship between the pretreatment SII values and the success of TMJA 1-week (r(s): - 0.83; P = 0.008) and 1-month, (r(s): - 0.89; P = 0.03). Comparative analyses displayed that TMJA success rates at 1-week (87.7% vs. 69.1%; P = 0.008) and 1-month (96.2% vs. 80%; P = 0.03) were significantly higher in the SII <= 526 than SII > 526 group, respectively, while the 6-month results favored the SII <= 526 group with a trend approaching significance (P = 0.084). Conclusion The current study's findings suggested the SII as a unique independent prognostic biomarker that accurately predicts treatment outcomes for up to 6 months. Trial registration The results of this research were retrospectively registered.
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    Proadrenomedullin determining clinical severity and analyzing prognostic value for pneumonia
    (2019) Demirsoy, Sedat; Okutan, Oguzhan; Kartaloglu, Zafer; Tas, Dilaver; Ayten, Omer; Canoglu, Kadir
    AIMS: In pneumonia patients, we need practical biomarkers that can contribute to the diagnosis, prognosis and the prediction of mortality, and that can direct therapy and treatment setting. In this study, the diagnostic importance and value to predict prognosis and mortality are investigated for plasma proadrenomedullin (proADM) levels in pneumonia patients. MATERIALS AND METHODS: Sixty-three consecutive patients who had been diagnosed with pneumonia, as well as 54 volunteers as the control group, making 117 in total, enrolled in this study. The participants' ProADM, leukocyte count, erythrocyte sedimentation rate, C-reactive protein, and procalcitonin levels were measured, and their pneumonia severity index (PSI) and CURB-65 scores were calculated. RESULTS: Plasma proADM levels were higher in the controls. When we compare patients' proADM levels in the initiation, and after the treatment, patients' proADM levels were lower on the 7th day after the treatment. No significant supremacy was identified over the other markers. The ProADM levels were significantly correlated with PSI stages, but in deciding of the site of care, the distribution of proADM levels for the PSI and CURB-65 risk groups (as low and high risk) were statistically irrelevant. The mean proADM levels among the patients who developed complications were slightly higher than the others, but not to a statistically significant degree. A relationship was identified between the clinical severity scores and complications, and short-term mortality was 7.93%. The plasma proADM levels among the nonsurvivors were 0.7 nmol/L and 0.90 nmol/L in the survivors. Given these data, proADM failed to predict mortality while PSI and CURB-65 were superior predictors. CONCLUSION: Using proADM levels alone to predict pneumonia prognosis and mortality and deciding upon a therapy setting makes no sense, although in consideration of previous studies, proADM would be useful as a supplementary contributor to clinical severity scores.