Reasons For Performing Study: There is little information on the prevalence of, and risk factors associated with, post anaesthetic colic (PAC) in horses undergoing nonabdominal operations.
Objectives: To undertake the first prospective study of prevalence of PAC and identify risk factors in its development in nonabdominal procedures.
Methods: A multicentre prospective case-control study was conducted, on every horse undergoing anaesthesia for a nonabdominal procedure between April 2004 and June 2005. Colic cases were defined as any horse with recognised signs of abdominal pain within 72 h of general anaesthesia that could not be attributed to any concurrent disease. Five control horses per case were selected randomly from the study population at all hospitals. Multivariable logistic regression analysis was used to examine the relationship between predictor variables and the risk of developing PAC.
Results: The estimated mean prevalence of PAC in the study population was 5.2% (95% CI, 2.8, 8.0). However, the prevalence of colic varied between each centre. The most commonly diagnosed cause of colic was impaction. Multivariable analyses showed that the centre involved and the type of surgery performed were associated with an increased risk of PAC. Preoperative food deprivation and the use of opioid drugs were confounding factors.
Conclusions: Prevalence of PAC varied significantly between the 4 hospitals studied; there may be hospital-related covariates that account for this. The type of surgery performed influenced the risk of PAC.
Potential Relevance: Identifying the risk factors for PAC is a prerequisite for its prevention. This study indicates horses at increased risk of PAC that might benefit from a more critical evaluation of post anaesthetic gastrointestinal function and/or the provision of preventative measures. Further investigation is required to explain the variation in prevalence of PAC between centres.
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http://dx.doi.org/10.2746/042516406778400673 | DOI Listing |
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFLancet Reg Health West Pac
January 2025
Oxford University Clinical Research Unit (OUCRU), National Hospital for Tropical Diseases, 78 Giai Phong, Dong Da District, Hanoi, Viet Nam.
Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.
View Article and Find Full Text PDFJ Cyst Fibros
January 2025
Southern Cross University, Faculty of Health, Coolangatta, Queensland, Australia. Electronic address:
Background: A previous Australia-wide pilot study identified pain as a significant burden in people with CF (pwCF). However, the prevalence, frequency and severity have not been evaluated using validated tools.
Methods: Australian adults, pwCF and healthy controls (HC) were invited to complete an online questionnaire from July 2023 - February 2024, consisting of four validated tools: Brief Pain Inventory, Pain Catastrophising Scale, PAGI-SYM and PAC-SYM.
Environ Int
January 2025
Swiss Tropical and Public Health Institute, Allschwil, Switzerland; Department of Public Health, University of Basel, Basel, Switzerland. Electronic address:
Background: The independent and interrelated long-term effects of the exposome such as air pollution, greenness, and ambient temperature on lung function are not well understood, yet relevant in the light of climate change.
Methods: Pre-bronchodilation FEV1 from five mature birth cohorts (N = 4724) and three adult cohorts (N = 6052) from five European countries were used to assess cross-sectional associations with air pollution, greenness, and ambient temperature, assigned to their residential address. All two-way interactions and square terms were a priori included in building the final elastic net regression model.
Lancet Reg Health West Pac
January 2025
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Background: Existing studies have not provided robust evidence about the CVD risk of non-smoking patients with restrictive spirometric pattern (RSP) or airflow obstruction (AFO), and how the risk is modified by body shape. We aimed to bridge the gap.
Methods: We used never-smokers' data from the China Kadoorie Biobank (CKB) and performed Cox models by sex (278,953 females and 50,845 males).
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