BACKGROUND Hypothermia during laparoscopic surgery in patients with multiple trauma is a significant concern owing to its potential complications.Machine learning models offer a promising approach to predict the occur...BACKGROUND Hypothermia during laparoscopic surgery in patients with multiple trauma is a significant concern owing to its potential complications.Machine learning models offer a promising approach to predict the occurrence of intraoperative hypothermia.AIM To investigate the value of machine learning model to predict hypothermia during laparoscopic surgery in patients with multiple trauma.METHODS This retrospective study enrolled 220 patients who were admitted with multiple injuries between June 2018 and December 2023.Of these,154 patients were allocated to a training set and the remaining 66 were allocated to a validation set in a 7:3 ratio.In the training set,53 cases experienced intraoperative hypothermia and 101 did not.Logistic regression analysis was used to construct a predictive model of intraoperative hypothermia in patients with polytrauma undergoing laparoscopic surgery.The area under the curve(AUC),sensitivity,and specificity were calculated.RESULTS Comparison of the hypothermia and non-hypothermia groups found significant differences in sex,age,baseline temperature,intraoperative temperature,duration of anesthesia,duration of surgery,intraoperative fluid infusion,crystalloid infusion,colloid infusion,and pneumoperitoneum volume(P<0.05).Differences between other characteristics were not significant(P>0.05).The results of the logistic regression analysis showed that age,baseline temperature,intraoperative temperature,duration of anesthesia,and duration of surgery were independent influencing factors for intraoperative hypothermia during laparoscopic surgery(P<0.05).Calibration curve analysis showed good consistency between the predicted occurrence of intraoperative hypothermia and the actual occurrence(P>0.05).The predictive model had AUCs of 0.850 and 0.829 for the training and validation sets,respectively.CONCLUSION Machine learning effectively predicted intraoperative hypothermia in polytrauma patients undergoing laparoscopic surgery,which improved surgical safety and patient recovery.展开更多
BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patien...BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patients with PH.AIM To apply the best evidence on the prevention and management of PH in gynecological patients,improve the quality of perioperative evidence-based care based on treatment by an MDT for gynecological patients and analyze the effect of MDT-and evidence-based practice(EBP)projects on the psychological status and cognitive function of gynecological patients with PH.METHODS Under the guidance of knowledge translation and combined with the opinions of involved stakeholders and clinical experts,the best evidence for PH prevention and management in gynecological patients was selected and adjusted to suit the practice setting.Based on the evidence,the practice plan was developed,and the MDT intervention was carried out in the preoperative ward,the preoperative preparation room,the intraoperative operating room,the postanesthesia care unit,and the 24-hour postoperative gynecological ward through the EBP program.The incidence of hypothermia,the nurses’awareness,the implementation rate of examination indicators,and the thermal comfort level,psychological status and cognitive function of patients were compared before and after the implementation of the program.RESULTS The incidence of PH in gynecological patients decreased from 43.33%to 13.33%after the implementation of the scheme.The implementation rate of examination indicators 6-10,12,14,16-18,21,and 22 reached 100%,and that of other indicators was above 90%,except for examination indicators 5 and 13,which was 66.67%;the indices were significantly improved compared with the baseline(before evidence application)(P<0.05).The score of nurses'awareness of PH prevention and management in gynecological patients increased from 60.96±9.70 to 88.08±8.96,and the difference was statistically significant(P<0.001).The total score of the perioperative thermal comfort level of patients undergoing gynecological surgery was 27.97±2.04,which was significantly increased compared with the score of 21.27±1.57 observed by researchers at baseline(P<0.001).The perioperative Hamilton Depression Scale and Hamilton Anxiety Scale scores of patients undergoing gynecological surgery decreased from 15.03±3.16 and 13.93±2.64 to 4.30±1.15 and 3.53±0.78,respectively,with statistically significant differences(P<0.001).The perioperative Montreal Cognitive Assessment Scale score of the gynecological surgery patients increased from 23.17±1.68 to 26.93±1.11,also with statistical significance(P<0.001).CONCLUSION MDT-based EBP for PH prevention and management in gynecological patients during the perioperative period can standardize nursing operations,improve nurses'awareness and behavioral compliance with gynecological hypothermia management,and reduce the occurrence of PH in gynecological patients while playing a positive role in reducing patients’negative emotions and enhancing their cognitive function.展开更多
Background: Moderate to severe hypoxic-ischemic encephalopathy (HIE) in neonates is often treated with hypothermia. However, some neonates may experience epileptic seizures during therapeutic hypothermia (TH). Data on...Background: Moderate to severe hypoxic-ischemic encephalopathy (HIE) in neonates is often treated with hypothermia. However, some neonates may experience epileptic seizures during therapeutic hypothermia (TH). Data on the electrophysiologic and evolutionary aspects of these seizures are scarce in African countries. Objectives: To determine the types of epileptic seizures caused by HIE in neonates in Brazzaville;to describe the evolution of background EEG activities during TH and rewarming;to report the evolution of epileptic seizures. Methods: This was a cross-sectional, descriptive study conducted from January 2020 to July 2022. It took place in Brazzaville in the Neonatology Department of the Blanche Gomez Mother and Child Hospital. It focused on term neonates suffering from moderate or severe HIE. They were treated with hypothermia combined with phenobarbital for 72 hours. Results: Among 36 neonates meeting inclusion criteria, there were 18 boys and 18 girls. Thirty-one (86.1%) neonates had grade 2 and 5 (13.9%) grade 3 HIE. In our neonates, HIE had induced isolated electrographic seizures (n = 11;30.6%), electroclinical seizures (n = 25;69.4%), and 6 types of background EEG activity. During TH and rewarming, there were 52.8% of patients with improved background EEG activity, 41.7% of patients with unchanged background EEG activity, and 5.5% of patients with worsened background EEG activity. At the end of rewarming, only 9 (25%) patients still had seizures. Conclusion: Isolated electrographic and electroclinical seizures are the only pathological entities found in our studied population. In neonates with moderate HIE, the applied therapeutic strategy positively influences the evolution of both seizures and background EEG activity. On the other hand, in neonates with severe HIE, the same therapeutic strategy is ineffective. .展开更多
文摘BACKGROUND Hypothermia during laparoscopic surgery in patients with multiple trauma is a significant concern owing to its potential complications.Machine learning models offer a promising approach to predict the occurrence of intraoperative hypothermia.AIM To investigate the value of machine learning model to predict hypothermia during laparoscopic surgery in patients with multiple trauma.METHODS This retrospective study enrolled 220 patients who were admitted with multiple injuries between June 2018 and December 2023.Of these,154 patients were allocated to a training set and the remaining 66 were allocated to a validation set in a 7:3 ratio.In the training set,53 cases experienced intraoperative hypothermia and 101 did not.Logistic regression analysis was used to construct a predictive model of intraoperative hypothermia in patients with polytrauma undergoing laparoscopic surgery.The area under the curve(AUC),sensitivity,and specificity were calculated.RESULTS Comparison of the hypothermia and non-hypothermia groups found significant differences in sex,age,baseline temperature,intraoperative temperature,duration of anesthesia,duration of surgery,intraoperative fluid infusion,crystalloid infusion,colloid infusion,and pneumoperitoneum volume(P<0.05).Differences between other characteristics were not significant(P>0.05).The results of the logistic regression analysis showed that age,baseline temperature,intraoperative temperature,duration of anesthesia,and duration of surgery were independent influencing factors for intraoperative hypothermia during laparoscopic surgery(P<0.05).Calibration curve analysis showed good consistency between the predicted occurrence of intraoperative hypothermia and the actual occurrence(P>0.05).The predictive model had AUCs of 0.850 and 0.829 for the training and validation sets,respectively.CONCLUSION Machine learning effectively predicted intraoperative hypothermia in polytrauma patients undergoing laparoscopic surgery,which improved surgical safety and patient recovery.
基金The study was approved by the Institutional review board of The Affiliated Hospital of Southwest Medical University,No.KY2023184.
文摘BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patients with PH.AIM To apply the best evidence on the prevention and management of PH in gynecological patients,improve the quality of perioperative evidence-based care based on treatment by an MDT for gynecological patients and analyze the effect of MDT-and evidence-based practice(EBP)projects on the psychological status and cognitive function of gynecological patients with PH.METHODS Under the guidance of knowledge translation and combined with the opinions of involved stakeholders and clinical experts,the best evidence for PH prevention and management in gynecological patients was selected and adjusted to suit the practice setting.Based on the evidence,the practice plan was developed,and the MDT intervention was carried out in the preoperative ward,the preoperative preparation room,the intraoperative operating room,the postanesthesia care unit,and the 24-hour postoperative gynecological ward through the EBP program.The incidence of hypothermia,the nurses’awareness,the implementation rate of examination indicators,and the thermal comfort level,psychological status and cognitive function of patients were compared before and after the implementation of the program.RESULTS The incidence of PH in gynecological patients decreased from 43.33%to 13.33%after the implementation of the scheme.The implementation rate of examination indicators 6-10,12,14,16-18,21,and 22 reached 100%,and that of other indicators was above 90%,except for examination indicators 5 and 13,which was 66.67%;the indices were significantly improved compared with the baseline(before evidence application)(P<0.05).The score of nurses'awareness of PH prevention and management in gynecological patients increased from 60.96±9.70 to 88.08±8.96,and the difference was statistically significant(P<0.001).The total score of the perioperative thermal comfort level of patients undergoing gynecological surgery was 27.97±2.04,which was significantly increased compared with the score of 21.27±1.57 observed by researchers at baseline(P<0.001).The perioperative Hamilton Depression Scale and Hamilton Anxiety Scale scores of patients undergoing gynecological surgery decreased from 15.03±3.16 and 13.93±2.64 to 4.30±1.15 and 3.53±0.78,respectively,with statistically significant differences(P<0.001).The perioperative Montreal Cognitive Assessment Scale score of the gynecological surgery patients increased from 23.17±1.68 to 26.93±1.11,also with statistical significance(P<0.001).CONCLUSION MDT-based EBP for PH prevention and management in gynecological patients during the perioperative period can standardize nursing operations,improve nurses'awareness and behavioral compliance with gynecological hypothermia management,and reduce the occurrence of PH in gynecological patients while playing a positive role in reducing patients’negative emotions and enhancing their cognitive function.
文摘Background: Moderate to severe hypoxic-ischemic encephalopathy (HIE) in neonates is often treated with hypothermia. However, some neonates may experience epileptic seizures during therapeutic hypothermia (TH). Data on the electrophysiologic and evolutionary aspects of these seizures are scarce in African countries. Objectives: To determine the types of epileptic seizures caused by HIE in neonates in Brazzaville;to describe the evolution of background EEG activities during TH and rewarming;to report the evolution of epileptic seizures. Methods: This was a cross-sectional, descriptive study conducted from January 2020 to July 2022. It took place in Brazzaville in the Neonatology Department of the Blanche Gomez Mother and Child Hospital. It focused on term neonates suffering from moderate or severe HIE. They were treated with hypothermia combined with phenobarbital for 72 hours. Results: Among 36 neonates meeting inclusion criteria, there were 18 boys and 18 girls. Thirty-one (86.1%) neonates had grade 2 and 5 (13.9%) grade 3 HIE. In our neonates, HIE had induced isolated electrographic seizures (n = 11;30.6%), electroclinical seizures (n = 25;69.4%), and 6 types of background EEG activity. During TH and rewarming, there were 52.8% of patients with improved background EEG activity, 41.7% of patients with unchanged background EEG activity, and 5.5% of patients with worsened background EEG activity. At the end of rewarming, only 9 (25%) patients still had seizures. Conclusion: Isolated electrographic and electroclinical seizures are the only pathological entities found in our studied population. In neonates with moderate HIE, the applied therapeutic strategy positively influences the evolution of both seizures and background EEG activity. On the other hand, in neonates with severe HIE, the same therapeutic strategy is ineffective. .
