Objective: To study predictors of symptom relief six months after septoplasty using data from the Swedish National Septoplasty Register.
Participants: This is a retrospective register study of adult patients undergoing septoplasty in Sweden in 2003-2012.
Outcome: Relief of nasal symptoms was analysed in relation to age, gender, size of hospital performing the surgery, addition of turbinoplasty, and unplanned postoperative visits to the hospital due to pain, bleeding, or infection.
Results: In all, 76% of the patients ( = 5,865) rated their symptoms as "almost gone" or "gone" six months after septoplasty. With every 10-year increase in the age of the patients, the OR was 1.19, 95% CI 1.15-1.23, for a better result and 1.54, 95% CI 1.38-1.71, if the septoplasty was performed at a county hospital versus a university hospital. If there was no unplanned postoperative visit due to pain, bleeding, or infection, the OR for a better result was 1.6, 95% CI 1.39-1.85.
Conclusion: In this large national cohort of septoplasties, most of the patients felt that their symptoms had gone or almost gone six months after septoplasty. Higher age, surgery at smaller hospitals, and no unplanned visits to the hospital postoperatively predicted a better outcome.
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http://dx.doi.org/10.1155/2018/2379536 | DOI Listing |
J Pers Med
December 2024
Division of Neurotology and Skull Base Surgery, Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA 92697, USA.
This study aimed to develop a machine learning (ML) algorithm that can predict unplanned reoperations and surgical/medical complications after vestibular schwannoma (VS) surgery. All pre- and peri-operative variables available in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database (n = 110), except those directly related to our outcome variables, were used as input variables. A deep neural network model consisting of seven layers was developed using the Keras open-source library, with a 70:30 breakdown for training and testing.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Anesthesiology, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Background: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.
Objective: Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms.
Trials
December 2024
Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Background: Intraoperative hypotension is very common during surgery and is linked to major organ dysfunction and mortality. Current perioperative blood pressure management is largely based on universal blood pressure thresholds ranging from a mean arterial pressure of 60-70 mmHg. However, the effectiveness of this conventional management remains unproven in prospective randomized trials.
View Article and Find Full Text PDFArch Orthop Trauma Surg
December 2024
Department of Orthopedic Surgery, University of Michigan, Ann Arbor, MI, USA.
Objectives: Distal femur fractures (DFF) are frequently treated surgically with single traditional constructs (STC), such as with a lateral plate or intramedullary nail, although nail-plate combination constructs (NPCC) are gaining attention. The purpose of this study is to compare outcomes between NPCC and STC for surgical fixation of DFF to guide surgeon decision-making.
Methods: Data Sources: This study is a systematic review and meta-analysis using PubMed, CINAHL, MEDLINE, Web of Science, Science Direct, and SPORTDiscus from database inception until January 10th, 2024.
J Pediatr Urol
December 2024
Department of Surgery, Division of Urology, University of Colorado School of Medicine, Aurora, CO, USA; Pediatric Urology Research Enterprise, Department of Pediatric Urology, Children's Hospital Colorado, Aurora, CO, USA.
Background: Significant efforts have been undertaken to decrease opioid prescribing, but there is little research into patient-specific factors presenting as barriers in the pediatric surgical population. Non-steroidal anti-inflammatory drugs (NSAIDs) have been shown to be a safe and effective alternative to opioids for pain control, however, concerns about their impact on renal function limit their use in patients with chronic kidney disease (CKD). Data is limited on the interplay of CKD on opioid prescribing.
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