İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
The impact of infant positioning on pain and early neonatal morbidities
(Elsevier, 2025) Kersin, Sinem Gülcan; Kandemir, İbrahim; Cıbır, Seval; Özdemir, Hülya; Memişoğlu, Aslı; Bilgen, Hülya Selva
Purpose: To investigate whether appropriate positioning, assessed using the Infant Positioning Assessment Tool (IPAT), is associated with lower pain scores and reduced incidence of early neonatal morbidities in the first week of life in premature infants. Methods: This retrospective observational study was conducted at a single center. The pre-implementation (non IPAT) group was assessed using the NPASS (Neonatal Pain, Agitation, and Sedation Scale) alone, whereas the post-implementation (IPAT) group was evaluated using both the NPASS and the IPAT. Results: The IPAT group consisted of 77 infants, and the non-IPAT group consisted of 40 infants. The mean gestational age and weight of the cases were 29.9 ± 1.2 weeks and 1350 ± 234 g, respectively. Pain scores increased in infants with intraventricular hemorrhage (IVH) (days 3 and 7) and necrotizing enterocolitis (NEC) (days 4 and 5), but decreased with IPAT use on days 5–7. IPAT scores showed a moderate negative correlation with IVH on days 1 and 6, and a strong negative correlation with NEC on day 7. Conclusion: Higher positioning quality is associated with lower pain scores and potentially fewer early morbid ities in preterm infants during the first week of life. Optimal positioning using the IPAT will help establish nursing standards and increase awareness among primary caregivers.
Diffuse alveolar hemorrhage induced by epileptic seizure
(Wiley, 2025) Talibov, Tural; İnci, Meltem; Ismayilov, Rashad; Bebek, Nerses
Diffuse alveolar hemorrhage (DAH) is a rare but life-threatening complication of generalized tonic–clonic seizures. We describe a 28-year-old woman with no prior seizure history who experienced three consecutive generalized tonic–clonic seizures, followed by acute hemoptysis and dyspnea. Imaging confirmed diffuse alveolar hemorrhage, which responded rapidly to corticosteroid therapy. Seizure-induced DAH is an uncommon and underrecognized condition. This case underscores the importance of considering DAH in patients presenting with respiratory symptoms following seizures, even in the absence of underlying systemic disease.
Testing the performance of cross-correlation techniques to search for molecular features in JWST NIRSpec G395H observations of transiting exoplanets
(Oxford University Press, 2025) Esparza-Borges, Emma; Lopez-Morales, Mercedes; Palle, Enric; Makhnev, Vladimir; Gordon, Iouli; Hargreaves, Robert; Kirk, James; Caceres, Claudio; Solmaz, Arif; Redfield, Seth
Cross-correlations techniques offer an alternative method to search for molecular species in James Webb Space Telescope (JWST) observations of exoplanet atmospheres. In a previous article, we applied cross-correlation functions for the first time to JWST NIRSpec/G395H observations of exoplanet atmospheres, resulting in a detection of CO in the transmission spectrum of WASP-39b and a tentative detection of CO isotopologues. Here, we present an improved version of our cross-correlation technique and an investigation into how efficient the technique is when searching for other molecules in JWST NIRSpec/G395H data. Our search results in the detection of more molecules via cross-correlations in the atmosphere of WASP-39b, including H2O and CO2, and confirms the CO detection. This result proves that cross-correlations are a robust and computationally cheap alternative method to search for molecular species in transmission spectra observed with JWST. We also searched for other molecules (CH4, NH3, SO2, N2O, H2S, PH3, O3, and C2H2) that were not detected, for which we provide the definition of their cross-correlation baselines for future searches of those molecules in other targets. We find that that the cross-correlation search of each molecule is more efficient over limited wavelength regions of the spectrum, where the signal for that molecule dominates over other molecules, than over broad wavelength ranges. In general, we also find that Gaussian normalization is the most efficient normalization mode for the generation of the molecular templates.
Is digital anesthesia a viable alternative for pain and anxiety control in pediatric dentistry?
(Wiley, 2025) Ateşçi, Alp Abidin; Korkut Işık, Buse; Yılmaz, Dilek Özge; Gergit, Berk; Çoruh Kılıç, Münevver; Önçağ, Rüştü Özant
Background: Pain and anxiety during dental procedures remain major challenges in pediatric dentistry, particularly during local anesthesia administration. Aim: This study compared the effectiveness of digital anesthesia systems versus conventional infiltration and mandibular block techniques in managing pain, anxiety, and behavioral responses in pediatric dental patients. Design: Seventy-nine children aged 6–12 were randomly assigned to receive anesthesia via digital anesthesia system (DAS), infiltration, or mandibular block. Pain was assessed using the Wong-Baker Faces Pain Rating Scale (WBFRPS), anxiety via the Modified Child Dental Anxiety Scale (MCDAS), and behavioral responses through the FLACC scale. Statistical analyses included ANOVA, Kruskal–Wallis, and chi-square tests (p<0.05). Results: Children in the DAS group reported significantly lower pain scores during needle insertion, anesthetic delivery, and treatment. Post-treatment MCDAS scores decreased significantly in the DAS group, especially for items related to “tooth exami nation,” “filling,” and “gingival injection.” FLACC results also indicated more favorable behavioral responses—such as relaxed facial expressions and absence of crying—in the digital group (p<0.05). Conclusion: Digital anesthesia appears to be a highly effective alternative to conventional techniques for minimizing pain, reducing dental anxiety, and improving behavioral cooperation in pediatric patients, supporting its broader implementation in clinical practice.
A novel model for early prediction of in hospital mortality in seawater drowning: The SNOP score
(Springer Nature Link, 2025) Öncü, Kıvanç; Özcan, Özhan; Şi̇mşi̇rgi̇l Kara, Şeyma; Parmaksız, Ayhan; Erşen, Teoman
Background Drowning is a leading cause of preventable mortality worldwide; however, early in-hospital risk stratification remains limited. Although tools such as the Szpilman score assist in early severity assessment, they may not fully capture the evolving clinical status after admission. This study aimed to develop a simplified and objective model based on readily available parameters to predict in-hospital mortality following seawater drowning. Methods This retrospective study was conducted at a referral emergency department (ED) in northern Turkey between July 1, 2011, and December 31, 2024. Of 190 patients initially included, 166 with complete clinical and laboratory data were analyzed. Data were obtained from institutional and national health information systems. Clinical, physiological, and biochemical variables were assessed. Predictors of in-hospital mortality were identified using receiver operating characteristic (ROC) analysis and multivariable logistic regression. Variables with near-perfect discrimination (e.g., GCS, pH, Szpilman score) were excluded to avoid overfitting. Results Among the 166 patients, 34 (20.5%) died during hospitalization. CPR and endotracheal intubation rates were significantly higher among non-survivors (CPR: 97.1% vs. 0%; intubation: 97.1% vs. 2.3%; both p<0.001). Non survivors also presented with lower GCS (median 3 vs. 15), lower arterial pH, and higher Szpilman scores (all p<0.001). ROC analysis identified four potential predictors with AUC values between 0.90 and 0.95—pCO₂, lactate, SpO₂, and sodium—all showing significant discriminatory capacity (p<0.001). These variables were entered into a binary logistic regression model, from which serum sodium (OR=2.110; 95% CI: 1.310–3.401; p=0.002) and SpO₂ (OR=0.902; 95% CI: 0.847–0.961; p=0.001) emerged as independent predictors. These formed the basis of the SNOP score (Saturation and Natremia-based Outcome Predictor), a two-parameter logistic model demonstrating excellent performance: AUC=0.996, sensitivity=99.0%, specificity=96.2%, and overall accuracy=98.4%. Conclusion: The SNOP score is a simple, ED-specific tool for early prediction of in-hospital mortality in seawater drowning. It complements existing assessment systems by incorporating objective, admission-based parameters. Prospective multicenter validation is warranted to confirm its clinical applicability and support broader implementation.
