To explore the prognostic factors of patients with sudden sensorineural hearing loss (SSNHL), analyze the possible influencing factors, and construct a nomogram for personalized evaluation of their prognosis. A retrospective study was conducted on 269 patients with SSNHL. The prognostic factors were analyzed by univariate analysis and multivariate logistic regression analysis. The nomogram was constructed based on the results of multivariate logistic regression analysis, and the model was verified by receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Among the 269 patients hospitalized, 136 cases were improved (44 cases were cured, 28 cases were markedly effective, 64 cases were effective) and 133 cases were ineffective. After univariate analysis, it was found that age, duration from onset to treatment, audiometric configuration, serum albumin (ALB), and neutrophil-to-lymphocyte ratio (NLR) were associated with hearing outcomes. Duration from onset to treatment and audiometric configuration were independent risk factors when the treatment outcome was divided into ineffective, effective, significant improvement, and complete recovery groups or divided into improvement and ineffective groups after multivariate logistic regression analysis. The factors according to univariate analysis and multivariate logistic regression analysis results were included in the nomogram to construct the prediction models. The area under the ROC curve of model discrimination was 0.752 [95% confidence interval (CI): 0.695-0.808] when the treatment outcome was divided into 2 groups. The calibration curve showed the consistency of the results, and the DCA prediction curve showed good clinical efficacy. The C-index was 0.756 (95% CI: 0.710-0.802) when the treatment outcome was divided into 4 groups. Age, duration from onset to treatment, audiometric configuration, ALB, and NLR are influencing factors for SSNHL. Duration from onset to treatment and audiometric configuration are independent risk factors for SSNHL. The nomogram presents the prognosis of patients with SSNHL in an intuitive, visual, and readable graph, providing clinicians with a personalized assessment.
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http://dx.doi.org/10.1177/01455613241230823 | DOI Listing |
Sci Rep
December 2024
Department of Pediatrics and Child Health Nursing, College of Medicine and Health Sciences, Bahir Dar, Ethiopia.
Introduction: Insecticide-treated bed nets are often used as a physical barrier to prevent infection of malaria. In Sub-Saharan Africa, one of the most important ways of reducing the malaria burden is the utilization of insecticide-treated bed nets. However, there is no sufficient information on the utilization of insecticide-treated bed nets and their associated factors in Ethiopia.
View Article and Find Full Text PDFHead Neck
December 2024
Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: The geriatric nutritional risk index (GNRI) is a tool to assess preoperative nutritional status that can be calculated simply based on height, weight, and serum albumin. This study assesses the utility of GNRI in predicting postoperative complications in patients undergoing major head and neck cancer (HNC) surgery.
Methods: Retrospective review of the 2016-2020 National Surgical Quality Improvement Program database.
Clin Transplant
January 2025
Division of Abdominal Transplant, Department of Surgery, Stanford University Medical Center, Stanford, California, USA.
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December 2024
Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shangdong, China.
Background: The association between different anthropometric indices, including body mass index (BMI), a body shape index (ABSI), lipid accumulation product (LAP), visceral adiposity index (VAI), waist circumference-triglyceride index (WTI), weight-adjusted waist index (WWI), body roundness index (BRI) and the prevalence of overactive bladder (OAB) is unclear. This investigation aims to explore the association among different anthropometric indices and overactive bladder as well as confounding variables.
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Indian J Med Res
November 2024
Department of Community Medicine, Burdwan Medical College & Hospital, Kolkata, West Bengal, India.
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