A standardized protocol to reduce preoperative hypothermia in pediatric spinal fusion surgery: a quality improvement initiative

Barriers and facilitators to evidence-based perioperative hypothermia management for orthopaedic patients: A systematic review

AIM

To assess barriers and facilitators to the implementation of guidelines for the prevention of inadvertent perioperative hypothermia in orthopaedic patients.

DESIGN

Systematic review.

DATA SOURCES

Nine databases: PubMed, Embase, CINAHL, Cochrane CENTRAL, PsycINFO, ProQuest Dissertations and Theses, Scopus, Web of Science and Trip Clinical Evidence Database.

METHODS

Primary studies published in English between January 2008 to July 2022 were screened. Study selection, quality assessment, and data extraction were completed independently by researchers. Data were extracted using the Consolidated Framework for Implementation Research and mapped to the Expert Recommendations for Implementing Change strategies.

RESULTS

Eighty-seven studies were included in the review. The most frequently reported barriers and facilitators related to evidence strength, relative advantage, and cost of implementing perioperative hypothermia prevention guidelines. The top four ERIC strategies were: Identify and prepare champions; Conduct educational meetings; Assess for readiness and identify barriers and facilitators; and Inform local opinion leaders.

CONCLUSION

This review provides synthesized evidence regarding barriers and facilitators to perioperative hypothermia guidelines for patients undergoing orthopaedic surgery.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

Our work provides theory guided strategies to promote implementation of perioperative hypothermia prevention to assist nurses caring for patients undergoing orthopaedic surgery.

IMPACT

Findings provide professionals caring for patients undergoing orthopaedic surgery with theory-informed strategies to improve perioperative hypothermia prevention. Reducing perioperative hypothermia will improve outcomes for patients undergoing orthopaedic surgery.

REPORTING METHOD

The review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020.

NO PATIENT OR PUBLIC CONSULTATION

Due to the study design, no patient or public consultation took place.

Development and validation of a nomogram to predict hypothermia in adult burn patients during escharectomy under general anesthesia

BACKGROUND

It is very common for burn patients to have hypothermia during escharectomy under general anesthesia, which increases the blood transfusion demand of burn patients, and may lead to blood coagulation disorder or even increase the mortality of patients. It is important to predict the occurrence of hypothermia in advance, but we lack a prognostic prediction model. Our study aimed to develop a nomogram to predict the incidence of hypothermia in adult burn patients undergoing escharectomy under general anesthesia to intervention the hazards associated with hypothermia early.

METHODS

This retrospective study included 978 adult burn patients who underwent simple escharectomy under general anesthesia during hospitalization between January 2017 and December 2022, they were further divided into a training cohort and a validation cohort. The clinical data were recorded in electronic medical record system and a self-made collection table of intraoperative hypothermia. The preliminary predictive factors for hypothermia which undergoing simple escharectomy under general anesthesia in burn patients were determined using least absolute shrinkage and selection operator (LASSO) at first, then the final predictive factors determined using binary logistic regression analyses and a nomogram to predict the occurrence of hypothermia was established. The index of concordance(C-index), calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of the model.

RESULTS

A total of 211 patients with hypothermia and 767 patients without hypothermia were selected. Least absolute shrinkage and selection operator regression analysis and binary logistic regression results concluded that burn index, urinary volume, blood transfusion volume and irrigation volume were significantly associated with hypothermia in burn patients undergoing escharectomy under general anesthesia. The nomogram based on these four variables had good predictive efficiency for hypothermia in adult burn patients during escharectomy under general anesthesia, the C-index in the training cohort was 0.903, areas under the receiver operating characteristic curves (AUROC) of for the training cohort (95 % CI 0.877-0.920) and 0.875 for the validation cohort (95 % CI 0.852-0.897) indicated satisfactory discriminative ability of the nomogram, and the calibration curves for the training cohort and the validation cohort also fit as well, indicating that the nomogram had good clinical application value.

CONCLUSIONS

Hypothermia in burn patients during escharectomy under general anesthesia is associated with burn index, urinary volume, blood transfusion volume and irrigation volume. We successfully developed a practical nomogram to accurately predict hypothermia, which is a practical method helping clinicians rapidly and conveniently diagnose and guide the treatment of hypothermia in burn patients during escharectomy under general anesthesia.

A systematic review of the power of standardization in pediatric neurosurgery

In the current neurosurgical field, there is a constant emphasis on providing the best care with the most value. Such work requires the constant optimization of not only surgical but also perioperative services. Recent work has demonstrated the power of standardized techniques in limiting complication while promoting optimal outcomes. In this review article, protocols addressing operative and perioperative care for common pediatric neurosurgical procedures are discussed. These articles address how various institutions have optimized procedures through standardization. Our objective is to improve patient outcomes through the optimization of protocols.