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Association between extreme weather events and postoperative adverse outcomes: a systematic review - Canadian Journal of Anesthesia

Access - https://rdcu.be/eYynZ

#CJA #CJA2026 #Anesthesia #Anesthesiology #ExtremeWeather #ClimateHealth #PostoperativeCare #PatientOutcomes #SystematicReview

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🩹 Caring for Postoperative Wounds: How Often Should They Be Assessed? #postoperativecare #wounds
🩹 Caring for Postoperative Wounds: How Often Should They Be Assessed? #postoperativecare #wounds 🩹 Caring for Postoperative Wounds: How Often Should They Be Assessed? #postoperativecare #wounds

🩹 Caring for Postoperative Wounds: How Often Should They Be Assessed? #postoperativecare #wounds ... Continue to: www.youtube.com/watch?v=n9CY...

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Cost-minimization analysis of postoperative antibiotic use in high horseshoe anal fistula: evidence from a randomized controlled trial in China.
Cheng, Yicheng et al.
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#PostoperativeCare #AntibioticStewardship #AnalFistulaStudy

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Beyond Surgery: Essential Pet Care After Sterilization Home care following pet sterilization surgery is as crucial as the procedure itself for ensuring a full recovery and long-term health, veterinarians worldwide

Beyond Surgery: Essential Pet Care After Sterilization

#animalsterilization #catcare #Dogcare #PetHealth #postoperativecare

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Evaluation of a Digital, Self-Administered, Cognitive Test Battery in Older Adult Patients Undergoing Abdominal Surgery: Nonrandomized #feasibility Trial Background: Older adults undergoing surgery face increased risks of postoperative neurocognitive disorders which impair cognitive functions. Analog neurocognitive tests are commonly used, but digital tests offer faster, more accessible assessments. Objective: The primary aim was to evaluate the #feasibility of a digital cognitive test battery in older adults undergoing abdominal surgery. #feasibility included estimation of recruitment and retention rates, acceptability, perceived value and #usability of the test. The secondary aim was to explore outcome trajectories of cognition, depression, functional status and quality of recovery. Methods: A non-randomized #feasibility study. Recruitment and retention rates were measured using patient logs and expanded upon in semi-structured interviews with nurses. Acceptability, perceived value, and #usability were explored through interviews with patients and nurses, and the System #usability Scale (SUS). Cognitive functions were assessed with a digital cognitive test battery (CERAD, TMT A+B, Stroop, SDPT) and the Nursing Delirium Screening scale, and depression with the Geriatric Depression Scale. Functional status was measured using World Health Organization Disability Assessment Schedule, and postoperative recovery with the Swedish Quality of Recovery questionnaire. Quantitative data were analyzed using descriptive statistics and non-parametric tests and qualitative data with content analysis. Results: The test battery was feasible, acceptable and demonstrated excellent #usability. The mean SUS score was 87 (SD=17.9, 95% CI: 78.9-95.2), and all predefined progression criteria were met. Recruitment spanned over 1.5 years, during which 24 patients were included (mean age of 77 years, range 63-90, 56% women). Most patients underwent laparoscopic colorectal #Cancer surgery. Three patients developed postoperative delirium for one day only. No patient developed delayed neurocognitive recovery or mild/major neurocognitive disorder at the postoperative follow-up. Qualitative data showed that both nurses and patients regarded the digital cognitive test battery as important for assessing cognitive function, and found it easy to use and understand. Nurses reported that recruitment was challenging, partly because not all patients attended a preoperative in-person consultation prior to surgery. Conclusions: The digital, self-administered cognitive test battery was found to be feasible, acceptable, and usable in older adults undergoing abdominal surgery. However, recruitment challenges and a small, homogeneous sample limit generalizability and warrant careful consideration in a larger-scale study. Clinical Trial: NCT05564195, registration date 2022-10-03.

JMIR Formative Res: Evaluation of a Digital, Self-Administered, Cognitive Test Battery in Older Adult Patients Undergoing Abdominal Surgery: Nonrandomized #feasibility Trial #CognitiveTesting #DigitalHealth #OlderAdults #PostoperativeCare #NeurocognitiveDisorder

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Effectiveness of WeChat-Based Plus Scene-Graphics Health Education for Rehabilitation After Open Elbow Arthrolysis: Historical Control Study Background: Elbow stiffness is a common disease that can seriously limit daily activities. Open elbow arthrolysis is the most effective treatment, but long-term postoperative rehabilitation is necessary. Traditional health education is unlikely to improve patient compliance and outcomes. Convenient and interesting tools and methods, such as WeChat and scene-based graphics, should be used to enhance elbow recovery. Objective: The aim of this study is to evaluate the effectiveness of WeChat plus Scene-based graphics health education after open elbow arthrolysis. Methods: This historical control study included patients who were 18 years or older, who underwent open elbow arthrolysis, who had normal communication skills and who were capable of using WeChat. Those who were eligible to participate were divided into two groups based on their admission time: the control group (56 patients enrolled from January to June 2021) and the WeChat group (56 patients enrolled from July to December 2021). The control group received traditional health education, while the WeChat group received WeChat plus scene-based graphics health education. Information was presented as comics and divided into 4 parts, which were then shared through a WeChat public account. The patients received the information and daily lessons through the WeChat public account during hospitalization. Patients received online instruction through a WeChat group after discharge until 12 weeks post operation. All outcome data were collected at 1 week, 6 weeks, and 12 weeks post operation. The primary outcome was elbow range of motion, while the secondary outcomes included elbow function, quality of life, and incidence of complications. Results: At 12 weeks post surgery, the WeChat group exhibited a significantly greater elbow range of motion than the control group (all P

JMIR Formative Res: Effectiveness of WeChat-Based Plus Scene-Graphics Health Education for Rehabilitation After Open Elbow Arthrolysis: Historical Control Study #HealthEducation #WeChat #Rehabilitation #ElbowSurgery #PostoperativeCare

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Gym lovers, listen up! 🏋️ ASPS Member Surgeon Dr. Josef Hadeed shares what recovery really looks like after plastic surgery and when it's safe to get back to your workouts. 💪

#PlasticSurgeryRecoveryTips #PlasticSurgeryRecovery #PlasticSurgeryHealing #PostoperativeCare #Postop #ASPS #PlasticSurgery

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🩹✨ What is the primary goal of dressing a clean postoperative wound? ✨🩹 #postoperativecare
🩹✨ What is the primary goal of dressing a clean postoperative wound? ✨🩹 #postoperativecare 🩹✨ What is the primary goal of dressing a clean postoperative wound? ✨🩹 #postoperativecare

🩹✨ What is the primary goal of dressing a clean postoperative wound? ✨🩹 #postoperativecare ... Continue to: www.youtube.com/watch?v=XAXx...

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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation Background: Postoperative bleeding is a serious complication following abdominal tumor surgery, but it is often not clearly diagnosed and documented in clinical practice in China. Previous studies have relied on manual interpretation of medical records to determine the presence of postoperative bleeding in patients, which is time-consuming and laborious. More critically, this manual approach severely hinders the efficient analysis of large volumes of medical data, thereby impeding in-depth research into the incidence patterns and risk factors of postoperative bleeding. It remains unclear whether machine learning can play a role in processing a large volume of medical text to identify postoperative bleeding effectively. Objective: To develop a machine learning model tool for identifying postoperative patients with major bleeding based on electronic medical record system. Methods: This study utilized data from the available information in the National Health and Medical Big Data (Eastern) Center in Jiangsu Province of China. We randomly selected the medical records of 2,000 patients who underwent in-hospital tumor resection surgery between January 2018 and December 2021 from the database. Physicians manually classified each note as present or absent for a major bleeding event during the postoperative hospital stay. Feature engineering involved was created by bleeding expressions, high frequency related expressions and quantitative logical judgment, resulting in 270 features. Logistic regression (LR), K-nearest neighbor (KNN), and convolutional neural network (CNN) were developed and trained using the 1600-note training set. The main outcomes were accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for each model. Results: Major bleeding was present in 4.31% (69 out of 1600) of the training set and 4.75% (19 out of 400) of the test set. In the test set, the LR method achieved an accuracy of 0.8275, a sensitivity of 0.8947, a specificity of 0.8241, a PPV of 0.2024, an NPV of 0.9937, and an F1 score of 0.3301. The CNN method demonstrated an accuracy of 0.8900, a sensitivity of 0.8421, a specificity of 0.8924, a PPV of 0.2807, an NPV of 0.9913, and an F1 score of 0.4211. While the KNN method showed a high specificity of 0.9948 and an accuracy of 0.9575 in the test set, its sensitivity was notably low at 0.2105. The C-statistic for the LR method was 0.9018, and for the CNN method, it was 0.8830. Conclusions: Both the LR and CNN methods demonstrate good performance in identifying major bleeding in postoperative malignant tumor patients from electronic medical records, exhibiting high sensitivity and specificity. Given the higher sensitivity of the LR method (89.47%) and the higher specificity of the CNN method (89.24%) in the test set, both models hold promise for practical application, depending on the specific clinical priorities.

JMIR Formative Res: Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation #Healthcare #MedicalRecords #MachineLearning #PostoperativeCare #BleedingEvents

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Data Shows Quality of Life Improves for Spouses of Hip and Knee Replacement Patients | Newswise Living with osteoarthritis not only affects a person’s quality of life but can greatly impact their spouse’s quality of life.

Data Shows Quality of Life Improves for Spouses of Hip and Knee Replacement Patients
www.newswise.com/articles/dat...
#postoperativecare #jointreplacementsurgery #chronicpain #caregiving #totalkneearthroplasty #osteoarthritis #totalhiparthroplasty

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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or…

JMIR Formative Res: Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach #PainManagement #PostoperativeCare #MachineLearning #HealthTech #PainRecognition

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Optimizing Postoperative Nutrition: High-Energy Parenteral Support for Gastric Cancer Patients A Nutritional Approach to Better Surgical Outcomes

High-energy SPN reduces infectious complications and shortens hospital stays for gastric cancer patients. Evidence supports early nutritional intervention for improved outcomes without increasing costs.

#NutritionTherapy #GastricCancer #PostoperativeCare #SurgicalInnovation #Surgery #SurgSky

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