Yazar "Cevik, Banu Eler" seçeneğine göre listele
Listeleniyor 1 - 2 / 2
Sayfa Başına Sonuç
Sıralama seçenekleri
Yayın Evaluation of ultrasound-guided adductor canal block with two different concentration of bupivacaine in arthroscopic knee surgery: A feasibility study(Wiley, 2021) Kose, Selin Güven; Kose, Halil Cihan; Arslan, Gülten; Cevik, Banu Eler; Tulgar, SerkanStudy Objective The application of regional anaesthesia techniques as a component of multimodal analgesia in knee arthroscopic surgeries increases the quality of postoperative analgesia. Adductor canal block (ACB) is an effective motor sparing analgesia technique used in knee surgeries. This study aimed to evaluate the efficacy of ACB using two different concentrations of local anaesthetic in terms of analgesic requirements and pain density in patients undergoing knee arthroscopy. Design Prospective, randomised, controlled. Setting Tertiary hospital. Patients A total of 60 patients (ASA I-II) were evaluated in three groups, with 20 patients in each group. Interventions Standardised postoperative analgesia was performed in all groups. In addition, ultrasound-guided ACB (same volume/two different concentrations of bupivacaine: 0.25% vs 0.16%) was applied to the experimental groups. Measurements Tramadol consumption, rescue analgesic requirement and Numeric Rating Scores (NRS). Main Results Tramadol requirement in the first 24 hours was significantly higher in the control group (209.5 +/- 23.27 mg) (P < .001), and there was no difference between the experimental groups (63 +/- 42.06 mg vs 80.5 +/- 36.63 mg). Although the mean NRS scores in the first three hours were higher in the control group when compared with both block groups, it was similar in all groups in the following measurements. Conclusion In arthroscopic knee surgery, ACB interventions with 0.25% and 0.16% concentrations of bupivacaine were similar in terms of postoperative analgesic efficacy, and they increased the quality of multimodal analgesics when compared with the control group.Yayın MODIFIED KDIGO FOR PREDICTING MORTALITY IN ICU PATIENTS RECEIVING CONTINUOUS RENAL REPLACEMENT THERAPY FOR ACUTE RENAL FAILURE: KDIGO-URINARY OUTPUT VS. KDIGO-SERUM CREATININE LEVEL(CARBONE EDITORE, 2016) Tulgar, Serkan; Cakiroglu, Basri; Cevik, Banu Eler; Karakilic, Evvah; Ates, Nagihan Gozde; Gergerli, Ruken; Ozdemir, ErmanIntroduction: Acute Renal Injury (ARI) is a constant problem for patients in intensive care and Continuous Renal Replacement Therapy (CRRT) is an ever-more important part of acute renal injury (ARI) treatment. Various criteria have been used for the diagnosis and classification of acute renal failure, including RIFLE (Risk-Injury-Failure-Loss-End stage), AKIN (Acute Kidney Injury Network) and most recently KDIGO (Kidney Disease: Improving Global Outcomes). Many studies have only evaluated urinary output or serum creatinine when categorizing ARI. Our aim was to determine the predictors of mortality in intensive care patients treated with CRRT and to compare mortality with ARI level as determined by KDIGO-Serum Creatinine (KDIGO-SCr) and KDIGO-urinary output (KDIGO-UO) Materials and methods: This retrospective study was performed on intensive care patients receiving CRRT at our institute between January 2010-December 2011. Patient files were reviewed and demographic data, hospitalization time, laboratory findings, CRRT commencement and ARI levels were noted. Results: Seventy patients were included in the study. Mortality was found to be associated with patients' age, Glascow Coma Scale (GCS) score, Acute Physiology and Chronic Health Evaluation (APACHE) II score and adjusted predicted death rate. (p<0,01). Receiver Operating Curve (ROC) area under the curve was statistically significant for determination of mortality using KDIGO-SCR (p<0.01) although the same was not true for KDIGO-UO (p>0.05). Conclusions: We believe that RIFLE, AKIN, KDIGO criteria are each good predictors of mortality. In the case of KDIGO criteria, based solely on serum creatinine or urinary output, KDIGO-SCr was found to be a better predictor of mortality when compared to KDIGO-UO.