Background: In Africa, postoperative pain management is still a major problem with a prevalence of postoperative pain in up to 95.2% of the patients. There are little data on the prevalence and potential risk factors for postoperative pain in Tanzania. Therefore, we aimed to investigate these at Kilimanjaro Christian Medical Centre in Northern Tanzania. Our goal is to optimize pain management.
Methods: A prospective cohort study was carried out from December 2016 to April 2017. Patients ≥18 years admitted for elective general or orthopedic surgery were included in the study. Demographic data were collected during a pre-operative visit, and pain was assessed with a numerical rating scale (NRS 0-10) at 4, 24, 36 and 48 hours postoperatively. A NRS >3 was considered as moderate to severe postoperative pain. Potential risk factors for postoperative pain were identified using univariate and multivariable binary logistic regression analyses.
Results: A total of 281 patients were included in the study. The prevalence of postoperative pain was 61%, 73%, 67% and 58% at 4, 24, 36 and 48 hours after surgery, respectively. Pethidine was the most frequently prescribed analgesic for postoperative pain management (85.1%) in the first 24 hours postoperatively; only 1% received paracetamol or diclofenac, and 13% received tramadol. In the multivariable model, general anesthesia and intra-operative analgesia (OR = 3.70, 95% CI 1.70-8.04) were significant risk factors for postoperative pain.
Conclusion: Pain is still inadequately managed at Kilimanjaro Christian Medical Centre leading to a high prevalence (73% on the first day after surgery) of reported postoperative pain in this study. It reflects the need for adequate postoperative analgesia, especially in low- and middle-income countries. Further research identifying risk factors in larger cohorts can be performed if adequate analgesia is given.
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http://dx.doi.org/10.2147/JPR.S258954 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Orthopaedic Surgery, Shanxi Medical University Second Affiliated Hospital, Taiyuan, China.
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J Orthop Surg Res
January 2025
Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, P. R. China.
Objective: To investigate the application value of arthroscopic channel modification in meniscal injury repair.
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Trials
January 2025
Department of Neurology, Universitätsmedizin Greifswald, Fleischmannstraße 6, Greifswald, 17489, Germany.
Background: Postoperative delirium (POD) is the most common neurological adverse event among elderly patients undergoing surgery. POD is associated with an increased risk for postoperative complications, long-term cognitive decline, an increase in morbidity and mortality as well as extended hospital stays. Delirium prevention and treatment options are currently limited.
View Article and Find Full Text PDFSurg Today
January 2025
Division of Surgery, Istituto Auxologico Italiano IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Milan, Italy.
Purposes: We analyzed the acute-phase response in unilateral thyroidectomy by comparing the transoral endoscopic thyroidectomy vestibular approach (TOEVA) with the minimally invasive video-assisted thyroidectomy (MIVAT).
Methods: Patients were randomly assigned to undergo either TOEVA or MIVAT, after we obtained their written informed consent to participate in this study. Blood count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-1β (IL-1β), IL-6 and tumor necrosis factor (TNF-) were measured before surgery and then 4, 24, and 48 h after surgery.
Sci Rep
January 2025
The Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
It is crucial to determine the potential subgroups of sleep disturbances in patients undergoing elective surgery based on the importance of symptom clusters and individual characteristics in order to develop targeted symptom management plans. This study explored the potential categories of postoperative sleep disturbances in patients undergoing elective surgery through latent profile analysis, and explored the influencing factors of each category. A total of 400 eligible elective surgery patients were included in the analysis, and three potential subgroups were identified: mild sleep disturbance group (c1 = 140,35.
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