| Abstract |
Objective This paper focuses on the application of predictive nursing in the prevention of unplanned hypothermia in children with pediatric laparoscopic surgery, hoping to provide theoretical and practical basis for clinical research. Methods Summarize 60 samples, all are the children who received laparoscopic surgery in the hospital, induction time, from December 2022 to December 2023, grouping benchmark, numerical numbering method, group 1 and 2 groups respectively (n = 30), implementation plan, the former: implement routine nursing intervention, collect and organize the relevant data, compare and analyze, and evaluate. Use t test (normal measurement data); use χ2 test (count data); calculate means with ( ) instead. Results After statistical evaluation, although the patient type was the same, the effect was different, with P value> 0.05. Specifically, it can be seen in the following aspects: the core body temperature changes of 30 min (T1), at the beginning of the operation (T2), 30 min (T3), at the end of the operation (T4), as well as the recovery time of anesthesia and complication rate of children. Conclusion In this experiment, targeted to foresee nursing services in pediatric laparoscopic surgery to prevent unplanned hypothermia application value of low temperature analysis, aims to seek a practical intervention strategy, meet the demand of laparoscopic surgery children, improve the quality of life, clear outcome, the operation not only effectively reduce children with low temperature and complication rate, also can effectively shorten the postoperative anesthesia recovery time, clinical application value is significant, positive, adopt, praise, suggest first choice.
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