Objective: The purpose of this study was to determine the predictors of early left ventricular (LV) dysfunction in patients with rheumatic heart disease (RHD) after mitral valve replacement (MVR). We examined echocardiographic and nonechocardiographic predictors.
Methods: This study included 571 patients receiving MVR for RHD from 2012 to 2017. Their baseline characters, preoperative examination, operation data, and postoperative echocardiography were collected retrospectively. Univariate and multivariate logistic regression were used to evaluate the predictors of early LV dysfunction after MVR. The LV dysfunction was defined as left ventricular end-ejection fraction (LVEF) <50%. The interaction model was further performed to calculate interaction effects between predictors selected by logistic regression.
Results: In the 571 patients, 164 (28.7%) had early LV dysfunction after the operation, but only 94 (16.5%) had a preoperative LVEF <50%. Significant differences between two groups (LVEF ≥50% or LVEF <50%) were finally revealed in LV end-diastolic dimension, preoperative atrial fibrillation (AF), preoperative LVEF <50%, and the white blood cell (WBC) count measured after admission (>10 × 10 L ) in the multivariate logistic regression. Corresponding odds ratios (ORs) were 1.06, 1.82, 3.63, and 2.64, respectively. Diabetes, lesion type, LV end-systolic dimension, aspartate transaminase, alanine transaminase, and serum creatinine were statistically significant (P < .05) in univariate logistic regression, with matched ORs 2.45, 1.66/0.65, 1.07, 2.50, 1.83, and 2.90, respectively. However, these variables were not significant anymore in the multivariate logistic model. Besides, the OR of early postoperative LV dysfunction increased to 7.00 when preoperative AF, preoperative LVEF <50%, and WBC >10 × 10 L were all present.
Conclusions: The preoperative LV dysfunction, a large LV volume, AF and over-normal WBC could independently predict postoperative LV dysfunction.
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http://dx.doi.org/10.1111/jocs.14215 | DOI Listing |
BMC Public Health
January 2025
Department of Public Health, Woldia University, Woldia, Ethiopia.
Background: Despite advancements in Human Immunodeficiency Virus (HIV) treatment and care, undernutrition remains a significant concern, accelerating disease progression and risk of Acquired Immune Deficiency Syndrome (AIDS)-related deaths. The nutritional status of second-line antiretroviral treatment (SLART) users in Ethiopia has not been thoroughly investigated. So, this study aimed to assess the nutritional status of HIV/AIDS patients who were on SLART and its associated factors in Northern Ethiopia.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
BMC Public Health
January 2025
Department of General Surgery, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Background: The objective of this research is to statistically assess the risk of cardiovascular mortality (CVM) between patients with small bowel adenocarcinoma (SBA) and the general population. Additionally, it aims to identify CVM-associated risk factors among individuals with SBA.
Methods: Data obtained between 2000 and 2017 on SBA patients from the Surveillance, Epidemiology, and End Results (SEER) database were examined.
Sci Rep
January 2025
Department of Neurosurgery, Ji'an Central People's Hospital, Ji'an, Jiangxi, China.
Brainstem hemorrhage is a severe neurological condition with high mortality and poor prognosis. This study aims to develop and validate a prognostic model for brainstem hemorrhage to facilitate early prediction of patient outcomes, thereby supporting clinical decision-making. Clinical data from 140 patients with brainstem hemorrhage were collected.
View Article and Find Full Text PDFInt J Spine Surg
January 2025
Spine and Orthopedic Surgery, Swiss Paraplegic Center, Nottwil, Switzerland
Background: Spinal cord tethering and syringomyelia after trauma are well-known pathologies in patients suffering from spinal cord injury (SCI). In symptomatic cases, various surgical options are available, but untethering and expansion duraplasty is the currently preferred treatment strategy. However, patient outcomes are usually limited by rather high rates of surgical revisions.
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