Effect of cyclooxygenase-2 inhibitors at therapeutic doses on body temperature during anesthesia in healthy dogs administered with amino acids

Takashima, S; Takitani, Shin-ichi; Kitamura, Maasa; Nishii, Naohito; Kitagawa, Hitoshi; Shibata, Sanae

doi:10.1292/jvms.17-0098

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Nevertheless, the previous studies found that the risk factors affecting intraoperative hypothermia in surgical patients mainly included age, BMI, heat preservation measures, laboratory indicators and surgery‐related factors (Buraimoh et al, 2019; Wagner et al, 2021b; Yi et al,2018b). In addition, types of anaesthesia and surgery and smoking also affected body temperature adjustment, causing a lower postoperative body temperature (Takashima et al, 2019; Schälte et al, 2010; Vanderstocken et al, 2020). Therefore, we collected all the risk factors mentioned above in the study.…”

Section: Discussionmentioning

confidence: 99%

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Construction and validation of postoperative hypothermia prediction model for patients undergoing joint replacement surgery

Yang

et al. 2022

Journal of Clinical Nursing

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Aim To construct and validate a postoperative hypothermia prediction model for patients undergoing joint replacement surgery. Background Postoperative hypothermia is one of the harmful perioperative complications in patients undergoing joint replacement surgery. The previous studies mainly focused on intraoperative hypothermia prediction models. The prediction model for postoperative hypothermia in patients with joint replacement surgery was understudied. Design Cohort study. Methods We collected data from 503 participants undergoing joint replacement surgery in a tertiary hospital from January 2019 to December 2021. Of those, 404 cases were assigned to the modelling and 99 to the validation groups. Logistic regression was used to construct the model. The AUC was used to test the predictive effect of the model. Finally, 99 cases were used to verify the application effect of the model. A TRIPOD checklist was used to guide the reporting of this study. Results The factors entered into the prediction model were age, intraoperative hypothermia, BMI, heat preservation measures and platelet (PLT). The model was constructed as follows: Logit (P) = .537 + 3.669 × 1 (intraoperative hypothermia) + .030 × age − .289 × BMI + 2.857 × 1 (intraoperative insulation measures) + .003 × PLT. Hosmer–Lemeshow test, p = .608, the area under the receiver operating characteristic curve (AUC) was .861. The Youden index was .530, the sensitivity was .599 and the specificity was .93. The incidence of postoperative hypothermia in the modelling group was 42.93% (173/404), and that in the verification group was 43.43% (43/99), χ2 = .012, p = .912. The correct practical application rate was 87.88%. This model has a good application effect. Conclusion The current prediction model provided a reference for clinical screening of patients with high‐risk hypothermia after joint replacement surgery. Relevance to clinical practice Clinical nurses can use the developed prediction model to predict the occurrence of postoperative hypothermia and provide a reference for the preventive measure.

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Section: Discussionmentioning

confidence: 99%

“…On the other hand, most prediction (Buraimoh et al, 2019;Wagner et al, 2021b;Yi et al,2018b). In addition, types of anaesthesia and surgery and smoking also affected body temperature adjustment, causing a lower postoperative body temperature (Takashima et al, 2019;Schälte et al, 2010;Vanderstocken et al, 2020).…”

Section: Discussionsmentioning

confidence: 99%

Construction and validation of postoperative hypothermia prediction model for patients undergoing joint replacement surgery

Yang

et al. 2022

Journal of Clinical Nursing

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“…Robenacoxib and meloxicam did not affect insulin secretion in either conscious or anaesthetized dogs, nor did they affect amino acid infusion attenuation of decreased body temperature and heart rate in anaesthetized animals (Takashima et al, 2019).…”

Section: Pharmacodynamicsmentioning

confidence: 99%

Pharmacology, safety, efficacy and clinical uses of the COX‐2 inhibitor robenacoxib

Lees

Toutain

Elliott

et al. 2022

Vet Pharm & Therapeutics

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Robenacoxib is a non-steroidal anti-inflammatory drug (NSAID) of the coxib class. The coxibs were introduced with the objective of selectively inhibiting the cyclooxygenase-2 (COX-2) isoform of COX. COX-1 is present in many tissues constitutively and has several protective functions, including gastric cytoprotection, regulation of renal blood flow and regulation of platelet activity, whilst COX-2 is mainly induced locally and for restricted periods, and is primarily responsible for pain and inflammation (Pairet & Engelhardt, 1996). Drugs that inhibit COX-2 but spare COX-1 were therefore designed to have improved safety margins, especially for the gastrointestinal tract (Flower, 2003).

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Effect of cyclooxygenase-2 inhibitors at therapeutic doses on body temperature during anesthesia in healthy dogs administered with amino acids

Cited by 2 publications

References 22 publications

Construction and validation of postoperative hypothermia prediction model for patients undergoing joint replacement surgery

Construction and validation of postoperative hypothermia prediction model for patients undergoing joint replacement surgery

Pharmacology, safety, efficacy and clinical uses of the COX‐2 inhibitor robenacoxib

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