Intraoperative Hypothermia Research Articles

Evaluation of the Effect of Surgical Drapes on Intraoperative Hypothermia: A Randomized Clinical Trial.

Many patients experience unintended hypothermia in intraoperative processes. This randomized clinical trial aims to investigate the impact of surgical drapes on hypothermia during the intraoperative period. A randomized clinical trial was conducted from April 2019 to November 2020 in the Department of Anesthesiology and Reanimation/Operating Rooms at an education and research hospital. Out of 205 patients assessed for eligibility, 74 underwent elective abdominal surgery and were randomized into two groups: nonwoven surgical drapes and woven surgical drapes. The study had two stages: preoperative and intraoperative. Preoperative data were collected using information and evaluation forms, while intraoperative assessment involved forms for wetness and weight. Tympanic and esophageal temperatures were recorded every 15 minutes, and surgical drapes were weighed with a precision scale before and after surgery. There was no significant difference between the two groups in terms of body mass index, irrigation amount, surgery duration, gender, and preoperative shivering (p > 0.05). A statistically significant difference was found in preoperative body temperature (36°C), type of surgery, and intraoperative hypothermia (p < 0.05). Both types of surgical drapes were wet, but this difference was not statistically significant between the nonwoven group (mean ± SD [1368 ± 607]) and the woven group (mean ± SD [1335 ± 636], p = 0.824). This study demonstrated that neither woven nor nonwoven surgical drapes, nor the wetness of the surgical drapes, had a significant effect on intraoperative hypothermia. However, there is a need for randomized controlled trials involving uniform types of surgery related to the topic.

Comparison of the Effectiveness of Warmed Versus Room Temperature Intravenous Fluids Administration to Prevent Intraoperative Heat Loss in Anaesthetised Calves Undergoing Umbilical Herniorrhaphy.

Warmed intravenous (IV) fluids administration to prevent hypothermia provide controversial results in humans, cats and dogs, but its effect on calves is unknown. To evaluate the effectiveness of warmed IV fluids administered to prevent intraoperative heat loss in anaesthetised calves undergoing umbilical herniorrhaphy. Thirty Simmental breed calves (aged 10-30days) were randomly divided between two equal groups, wherein the infusion fluid (Ringer's lactate, 5mL/kg/h) was administered either at room temperature (Group RoT) or warmed (Group WF). Pulse rate (PR), respiratory rate (fR), peripheral haemoglobin oxygen saturation (SpO2) and rectal temperature (RT) were recorded immediately after the onset of anaesthesia induction (T0) at T5, T10, T15, T30, T45 and T60. Duration of anaesthesia, surgery time and recovery scores were also noted. The PR, RT and fR values showed no significant difference between groups over time (p>0.05). There was no significant difference in duration of anaesthesia, surgery time or recovery score between groups (p>0.05). The findings of the current study suggest that warmed IV fluid as the warming method did not prevent intraoperative hypothermia in calves. A constant-rate infusion of warmed fluid (5mL/kg/h) is insufficient to prevent intraoperative hypothermia in calves.

Study on the Correction Between Postoperative Sore Throat and Intraoperative Hypothermia in Patients Undergoing General Anesthesia

Study on the Correction Between Postoperative Sore Throat and Intraoperative Hypothermia in Patients Undergoing General Anesthesia

Intraoperative Hypothermia Versus Normothermia in Breast Reconstruction: A Systematic Review and Meta-Analysis.

Despite advancements in breast reconstruction, the precise impact of intraoperative hypothermia on postoperative complications remains unclear. Recent literature suggests that intraoperative hypothermia is a risk factor for impaired wound healing and increases the incidence of surgical site infections. This study examines the effect of intraoperative hypothermia on postoperative outcomes in breast reconstruction. We searched PubMed, Embase, and Cochrane Library for studies comparing hypothermia with normothermia in breast reconstruction. A meta-analytical method was employed to estimate the risk of postoperative complications among patients undergoing breast reconstruction. Data synthesis employed the random-effects models, presenting the results as risk ratio (RR) with corresponding 95% confidence intervals (CIs). Statistical analysis was performed using Review Manager 5.4 (Cochrane Collaboration), and heterogeneity was assessed using I2 statistics. Four studies meeting our inclusion criteria were included in the meta-analysis, comprising 871 participants. The average age and body mass index were 52.98 years and 27.76 kg/m2, with a follow-up duration of 3-6 months. In our analysis, intraoperative hypothermia was associated with an increase in the incidence of wound healing complications in breast reconstruction (RR 1.68; 95% CI 1.24 to 2.27; p = 0.0008). Despite lower incidence of infection, hematoma, seroma, and necrosis in the hypothermia group, no significant differences were observed. Our meta-analysis assessing intraoperative hypothermia in breast reconstruction indicates that hypothermia is a significant risk factor for wound healing complications.

Early prediction of intraoperative hypothermia in patients undergoing gynecological laparoscopic surgery: A retrospective cohort study.

Intraoperative hypothermia is one of the most common adverse events related to surgery, and clinical practice has been severely underestimated. In view of this, this study aims to build a practical intraoperative hypothermia prediction model for clinical decision-making assistance. We retrospectively collected clinical data of patients who underwent gynecological laparoscopic surgery from June 2018 to May 2023, and constructed a multimodal algorithm prediction model based on this data. For the construction of the prediction model, all data are randomly divided into a training queue (70%) and a testing queue (30%), and then 3 types of machine learning algorithms are used, namely: random forest, artificial neural network, and generalized linear regression. The effectiveness evaluation of all predictive models relies on the comprehensive evaluation of the net benefit method using the area under the receiver operating characteristic curve, calibration curve, and decision curve analysis. Finally, 1517 screened patients were filtered and 1429 participants were included for the construction of the predictive model. Among these, anesthesia time, pneumoperitoneum time, pneumoperitoneum flow rate, surgical time, intraoperative infusion, and room temperature were independent risk factors for intraoperative hypothermia and were listed as predictive variables. The random forest model algorithm combines 7 candidate variables to achieve optimal predictive performance in 2 queues, with an area under the curve of 0.893 and 0.887 and a 95% confidence interval of 0.835 to 0.951 and 0.829 to 0.945, respectively. The prediction efficiency of other prediction models is 0.783 and 0.821, with a 95% confidence interval of 0.725 to 0.841 and 0.763 to 0.879, respectively. The intraoperative hypothermia prediction model based on machine learning has satisfactory predictive performance, especially in random forests. This interpretable prediction model helps doctors evaluate the risk of intraoperative hypothermia, optimize clinical decision-making, and improve patient prognosis.

Intraoperative temperature management during emergency cesarean section: a retrospective observational study.

Intraoperative hypothermia is a common complication during cesarean section (C-section) and associated with the high maternal mortality and morbidity. This study aimed to explore the risk factors associated with the incidence of intraoperative hypothermia in women who underwent emergency C-section deliveries. We retrospectively enrolled women who underwent emergency cesarean deliveries from August 2022 to Dec 2023 at Suzhou Municipal Hospital of Anhui Province. Baseline characteristics, thermal status, and perioperative information were extracted. Hypothermia was defined as the onset of a core temperature below 36°C. Data were compared between patients with and without a hypothermia during surgery. Logistic regression analyses were performed to determine the risk factors for low-temperature-status. Overall, 87 patients were included, and 30 underwent hypothermia during surgery. For women with a normal temperature status, women in the hypothermia group had a lower incidence of receiving active warming methods (52.6% vs. 30%, P = 0.044). In the logistic regression model involving core temperature, a pre-surgery core temperature < 36.5°C (OR 4.22, 95% CI 1.13-15.63, p = 0.032) and a long surgery duration (per 10min, OR 1.97, 95% CI 1.24-3.11, p = 0.004) were associated with a high probability of hypothermia. Administering active warming methods to women can reduce the risk of experiencing a hypothermia during emergency C-sections (OR 0.19, 95% CI 0.05-0.63; p = 0.007). Hypothermia is common in emergency C-section deliveries. It is recommended that active warming methods should be applied to parturient undergoing emergency C-sections more proactively, especially for women who have a low baseline core temperature (< 36.5°C) and are expected to have a long surgery duration.

Perioperative Hypothermia in Surgical Patients: A Retrospective Cohort Analysis at a Busy District General Hospital.

Introduction Perioperative hypothermia is a common yet underreported complication of surgery. It results from various factors, including cold operating theaters, anesthetic effects, environmental exposure, exposed tissues, and the administration of cold intravenous or irrigation fluids. This study aims to determine the incidence of perioperative hypothermia in a district National Health Service hospital to assess the feasibility of a randomized controlled trial (RCT) for interventions to prevent hypothermia. Methods This retrospective study included the data of 200 elective surgical patients at North Manchester General Hospital from June 1, 2022, to August 1, 2022. Inclusion criteria were elective general surgery, urology, breast, and gynecology patients aged 18 to 60 years. Exclusion criteria included emergency cases and patients younger than 18 or older than 60. Temperature measurement data were collected from the anesthesia records of the patients at six phases: preoperative, pre-induction, intraoperative, post-procedure, recovery room, and post-recovery. Data collection included specialty, surgery duration, and the use of intraoperative fluid warmers. Statistical analysis was performed using StatsDirect software (StatsDirect Ltd, Wirral, UK). Results Among the 200 patients, the overall incidence of hypothermia was 4% preoperatively, 5% pre-induction, 12% intraoperatively, 11% postoperatively, 8% in recovery, and 6% post-recovery. Intraoperative hypothermia incidence was significant, given that active warming was applied to patients with preoperative hypothermia. Regression analysis showed no correlation between intraoperative temperature and the use of intraoperative fluid warmers. Pre-induction temperature was the most statistically significant predictor of intraoperative hypothermia. Conclusions This study highlights the need for active interventions to recognize and prevent perioperative hypothermia in elective surgical patients. Active pre-warming of patients, regardless of surgery type and duration, is feasible and potentially beneficial. Future research should include an RCT comparing active and passive warming strategies to evaluate their effectiveness in improving perioperative outcomes.

ThP7.10 - Perioperative Temperature in Relation to Theatre Temperature in Orthopaedic Trauma Patients in a District Hospital in NHS

Abstract Aim To understand the relation between intraoperative hypothermia and theatre temperature in Orthopaedic trauma list. Method Prospective analysis of patients listed in the trauma list at a busy district general hospital in NHS. The data collected included duration of surgery, preoperative temperature, pre induction temperature, intra-operative, post procedure, temperature in recovery and temperature post recovery, and mean ambient theatre temperature. Statistical calculations were performed on StatsDirect3 software. Results A total of 100 patients were included in the study from 1 Aug 2023 to 30 September 2023. Intraoperative hypothermia (core body temperature &amp;lt;= 36) was 21%. Preoperative temperature (p=0.033) and preinduction temperature (p&amp;lt;0.001) was statistically significant factor in influencing the intraoperative temperature. Theatre temperature was an independent predictor of intraoperative hypothermia on regression analysis (p&amp;lt;0.001). Conclusions Theatre temperature of 19.5 to 20.5 °C results in a core body intraoperative temperature of 36.3 to 37.3°C. Temperatures below 19.5 results in higher incidence of hypothermia. Preinduction temperature of 36.4°C results in intraoperative temperature of 36°C and a preinduction temperature of 37.1°C leads to intraoperative temperature of 36.7°C. This indicates that preoperative warming as well as a theatre temperature of 19.5 to 20.5 °C will help in reduction of the intraoperative hypothermia.

Understanding the role of intraoperative hypothermia in perioperative opioid requirements in immediate implant-based breast reconstruction

BackgroundThe relationship between perioperative temperatures and postoperative pain is unknown. The present study investigated the relationship of intraoperative hypothermia and perioperative opioid requirements after immediate implant-based breast reconstruction. MethodsA retrospective chart review was conducted on patients undergoing immediate implant-based breast reconstruction from 2019-2023. Patients were classified into the hypothermic group (majority of procedure < 36.0 °C) or normothermic group (majority of procedure ≥ 36.0 °C). Cumulative inpatient opioid requirements (morphine milli-equivalents [MMEs]) and frequency of patients requiring “high-dose opioids” (≥ 100 MMEs) were collected and compared between groups. ResultsIn total, 536 patients (835 breasts) were included, of which 135 (25.1%) were hypothermic. The hypothermic group had lower mean intraoperative (88.4 vs 99.1 MMEs, P = 0.007) and postoperative (44.2 vs 56.8 MMEs, P = 0.006) than the normothermic group. Mean (B = 14.6, P = 0.004) and nadir (B = 10.4, P = 0.038) intraoperative temperatures directly predicted higher opioid requirements while higher percentages of the procedure time spent under 36 °C (B = -27.6, P = 0.004) predicted lower opioid requirements. The hypothermic group was associated with 66% decreased odds of requiring high-dose opioids after adjusting for differences in patient and operative characteristics (P = 0.007). ConclusionHypothermia is associated with decreased perioperative opioid requirements. Future studies should further investigate ideal temperature thresholds for warming protocols to minimize postoperative pain.

Application value of machine learning models in predicting intraoperative hypothermia in laparoscopic surgery for polytrauma patients

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 &lt; 0.05). Differences between other characteristics were not significant (P &gt; 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 &lt; 0.05). Calibration curve analysis showed good consistency between the predicted occurrence of intraoperative hypothermia and the actual occurrence (P &gt; 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.

Risk factors for allogeneic red blood cell transfusion in adult spinal deformity surgery.

Retrospective study. To investigate the risk factors for allogeneic red blood cell (RBC) transfusion in adult spinal deformity (ASD) surgery. Studies have not thoroughly explored the roles of intraoperative hypothermia, autologous blood donation, and hemostatic agent administration, which would provide a better understanding of the risk for perioperative RBC transfusion in ASD surgery. The medical records of 151 patients with ASD who underwent correction surgery between 2012 and 2021 were retrospectively reviewed. Estimated blood loss and perioperative allogeneic transfusion were examined. Patients were categorized into two groups based on whether they received perioperative allogeneic blood transfusion. Logistic regression analysis was employed to investigate the effect of age, sex, blood type, body mass index, American Society of Anesthesiologists' physical status, preoperative hemoglobin level, autologous blood donation, global spine alignment parameters, preoperative use of anticoagulants or antiplatelet medicine and nonsteroidal anti-inflammatory drugs, number of instrumented fusion levels, total operative duration, three-column osteotomy, lateral interbody fusion, pelvic fixation, intraoperative hypothermia, use of gelatin-thrombin based hemostatic agents, and intraoperative tranexamic acid (TXA) with simultaneous exposure by two attending surgeons. The estimated blood loss was 994.2±754.5 mL, and 71 patients (47.0%) received allogeneic blood transfusion. In the logistic regression analysis, the absence of intraoperative TXA use and simultaneous exposure (odds ratio [OR], 26.3; 95% confidence interval [CI], 7.6-90.9; p<0.001), lack of autologous blood donation (OR, 21.2; 95% CI, 4.4-100.0; p<0.001), and prolonged operative duration (OR, 1.6; 95% CI, 1.3-1.9; p<0.001) were significant independent factors for perioperative allogeneic blood transfusion in ASD surgery. Autologous blood storage, intraoperative TXA administration, and simultaneous exposure should be considered to minimize perioperative allogeneic blood transfusion in ASD surgery, particularly in patients with anticipated lengthy surgeries.

Evaluation of Point-of-Care-Directed Coagulation Management in Pediatric Cardiac Surgery.

Coagulatory alterations are common after pediatric cardiac surgery and can be addressed with point-of-care (POC) coagulation analysis. The aim of the present study is to evaluate a preventive POC-controlled coagulation algorithm in pediatric cardiac surgery. This single-center, retrospective data analysis included patients younger than 18 years who underwent cardiac surgery with cardiopulmonary bypass (CPB) and received a coagulation therapy according to a predefined POC-controlled coagulation algorithm. Patients were divided into two groups (<10 and >10 kg body weight) because of different CPB priming strategies. In total, 173 surgeries with the use of the POC-guided hemostatic therapy were analyzed. In 71% of cases, target parameters were achieved and only in one case primary sternal closure was not possible. Children with a body weight ≤10 kg underwent surgical re-evaluation in 13.2% (15/113), and respectively 6.7% (4/60) in patients >10 kg. Hemorrhage in children ≤10 kg was associated with cyanotic heart defects, deeper intraoperative hypothermia, longer duration of CPB, more complex procedures (RACHS-1 score), and with more intraoperative platelets, and respectively red blood cell concentrate transfusions (all p-values < 0.05). In children ≤10 kg, fibrinogen levels were significantly lower over the 12-hour postoperative period (without revision: 3.1 [2.9-3.3] vs. with revision 2.8 [2.3-3.4]). Hemorrhage in children >10 kg was associated with a longer duration of CPB (p = 0.042), lower preoperative platelets (p = 0.026), and over the 12-hour postoperative period lower platelets (p = 0.002) and fibrinogen (p = 0.05). The use of a preventive, algorithm-based coagulation therapy with factor concentrates after CPB followed by POC created intraoperative clinical stable coagulation status with a subsequent executable thorax closure, although the presented algorithm in its current form is not superior in the reduction of the re-exploration rate compared to equivalent collectives. Reduced fibrinogen concentrations 12 hours after surgery may be associated with an increased incidence of surgical revisions.

Relationship between intraoperative hypothermia and hyperthermia with postoperative pulmonary infection and surgical site infection in major non-cardiac surgery.

Surgical patients often experience intraoperative hypothermia or hyperthermia. However, the relationship of intraoperative hypothermia and hyperthermia with postoperative pulmonary infection (PPI) and surgical site infection (SSI) is unclear. Here, we conducted a retrospective cohort study to address these issues. Adult patients who underwent major non-cardiac surgery under general anesthesia were eligible for the study and were recruited. Three indices of core body temperature under hypothermia (<36°C) and hyperthermia (>37.3°C) were calculated as mentioned in the following: absolute value (0C), duration of exposure (min), and area under the curve (AUC,°C× min). The outcomes were in-hospital PPI and SSI. The risk-adjusted association of intraoperative hypothermia and hyperthermia with PPI and SSI was determined. The absolute value (the nadir value of hypothermia and the peak value of hyperthermia) was not associated with PPI and SSI. PPI was associated with (1) duration: hypothermia >90 min [adjusted odds ratio (aOR): 1.425, 95% confidence interval (CI): 1.131-1.796] and hyperthermia >75 min (aOR: 1.395, 95%CI: 1.208-1.612) and (2) AUC: hypothermia >3,198 (aOR: 1.390, 95%CI: 1.128-1.731) and hyperthermia >7,945 (aOR: 2.045, 95%CI: 1.138-3.676). SSI was associated with (1) duration: hypothermia > 195 min (aOR: 2.900, 95%CI: 1.703-4.937) and hyperthermia >75 min (aOR: 1.395, 95%CI: 1.208-1.612) and (2) AUC: hypothermia >6,946 (aOR: 2.665, 95%CI: 1.618-4.390), hyperthermia >7,945 (aOR: 2.619, 95%CI: 1.625-4.220). Interactions were not observed between hyperthermia and hypothermia on the outcomes. It was observed that intraoperative hypothermia and hyperthermia are associated with postoperative pulmonary infection and surgical site infection in major non-cardiac surgery.

Impact of Intraoperative Hypothermia on Incidence of Infection in Implant-Based Breast Reconstruction in Pakistan

Background: Intraoperative hypothermia, an unintentional drop in core body temperature during surgery, poses a significant risk in implant-based breast reconstruction. This condition can weaken immune function, slow blood flow, and increase the risk of postoperative infections. Objective: To evaluate the impact of intraoperative hypothermia on the incidence of infections in patients undergoing implant-based breast reconstruction in Pakistan. Methods: This retrospective cohort study was conducted at Jinnah Sindh Medical University from January 2023 to November 2023. The study included 195 female breast cancer patients aged 18 and above who underwent implant-based breast reconstruction. Patients with pre-existing infections, concurrent chemotherapy or radiotherapy during the perioperative period, and incomplete medical records were excluded. Detailed patient demographics, surgical specifics, and intraoperative temperature control measures were recorded. Patients were categorized into normothermic (core body temperature ≥ 36°C) and hypothermic (core body temperature &lt;36°C) groups. Infection data post-surgery were collected through clinical assessments, blood tests, and imaging techniques. Data were analyzed using SPSS version 25, with descriptive statistics, chi-square tests for categorical variables, and independent t-tests for continuous variables. A p-value of less than 0.05 was considered statistically significant. Ethical approval was obtained, and informed consent was secured from all participants. Results: The mean age of patients was 45.23±3.45 years in the normothermic group and 46.01±2.89 years in the hypothermic group. The hypothermic group had a slightly higher average BMI (25.1 kg/m²) compared to the normothermic group (24.5 kg/m²). Total infections were observed in 26.3% of the hypothermic group versus 10% in the normothermic group. Superficial infections were reported in 12.6% of hypothermic patients compared to 6% of normothermic patients. Deep infections were more prevalent in the hypothermic group at 13.7%, compared to 4% in the normothermic group. The univariate odds ratio (OR) for intraoperative hypothermia was 3.2 (95% CI: 1.5-6.8) and the multivariate OR was 3.0 (95% CI: 1.3-6.5), both with a p-value of less than 0.01. Conclusion: Intraoperative hypothermia significantly increases the risk of postoperative infections in patients undergoing implant-based breast reconstruction. Effective temperature management strategies, such as preoperative warming and the use of intraoperative warming devices, are crucial to reducing infection rates and improving surgical outcomes

Development and validation of an intraoperative hypothermia nomograph model for patients undergoing video-assisted thoracoscopic lobectomy: a retrospective study

This study aimed to develop and internally validate a nomogram model for assessing the risk of intraoperative hypothermia in patients undergoing video-assisted thoracoscopic (VATS) lobectomy. This study is a retrospective study. A total of 530 patients who undergoing VATS lobectomy from January 2022 to December 2023 in a tertiary hospital in Wuhan were selected. Patients were divided into hypothermia group (n = 346) and non-hypothermia group (n = 184) according to whether hypothermia occurred during the operation. Lasso regression was used to screen the independent variables. Logistic regression was used to analyze the risk factors of hypothermia during operation, and a nomogram model was established. Bootstrap method was used to internally verify the nomogram model. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the model. Calibration curve and Hosmer Lemeshow test were used to evaluate the accuracy of the model. Decision curve analysis (DCA) was used to evaluate the clinical utility of the model. Intraoperative hypothermia occurred in 346 of 530 patients undergoing VATS lobectomy (65.28%). Logistic regression analysis showed that age, serum total bilirubin, inhaled desflurane, anesthesia duration, intraoperative infusion volume, intraoperative blood loss and body mass index were risk factors for intraoperative hypothermia in patients undergoing VATS lobectomy (P < 0.05). The area under ROC curve was 0.757, 95% CI (0.714–0.799). The optimal cutoff value was 0.635, the sensitivity was 0.717, and the specificity was 0.658. These results suggested that the model was well discriminated. Calibration curve has shown that the actual values are generally in agreement with the predicted values. Hosmer–Lemeshow test showed that χ2 = 5.588, P = 0.693, indicating that the model has a good accuracy. The DCA results confirmed that the model had high clinical utility. The nomogram model constructed in this study showed good discrimination, accuracy and clinical utility in predicting patients with intraoperative hypothermia, which can provide reference for medical staff to screen high-risk of intraoperative hypothermia in patients undergoing VATS lobectomy.

Cross-Combination Analyses of Random Forest Feature Selection and Decision Tree Model for Predicting Intraoperative Hypothermia in Total Joint Arthroplasty

BackgroundIn total joint arthroplasty patients, intraoperative hypothermia (IOH) is associated with perioperative complications and an increased economic burden. Previous models have some limitations and mainly focus on regression modeling. Random forest (RF) algorithms and decision tree modeling are effective for eliminating irrelevant features and making predictions that aid in accelerating modeling and reducing application difficulty. MethodsWe conducted this prospective observational study using convenience sampling and collected data from 327 total joint arthroplasty patients in a tertiary hospital from March 4, 2023, to September 11, 2023. Of those, 229 patients were assigned to the training and 98 to the testing sets. The Chi-square, Mann–Whitney U, and t-tests were used for baseline analyses. The feature variables selection used the RF algorithms, and the decision tree model was trained on 299 examples and validated on 98. The sensitivity, specificity, recall, F1 score, and area under the curve were used to test the model’s performance. ResultsThe RF algorithms identified the preheating time, the volume of flushing fluids, the intraoperative infusion volume, the anesthesia time, the surgical time, and the core temperature after intubation as risk factors for IOH. The decision tree was grown to 5 levels with 9 terminal nodes. The overall incidence of IOH was 42.13%. The sensitivity, specificity, recall, F1 score, and area under the curve were 0.651, 0.907, 0.916, 0.761, and 0.810, respectively. The model indicated strong internal consistency and predictive ability. ConclusionsThe preheating time, the volume of flushing fluids, the intraoperative infusion volume, the anesthesia time, the surgical time, and the core temperature after intubation could accurately predict IOH in total joint arthroplasty patients. By monitoring these factors, the clinical staff could achieve early detection and intervention of IOH in total joint arthroplasty patients.

Emergency rescue of a patient with hemorrhagic shock caused by superior mesenteric artery rupture: A case report

BACKGROUND Superior mesenteric artery (SMA) injuries rarely occur during blunt abdominal injuries, with an incidence of &lt; 1%. The clinical manifestations mainly include abdominal hemorrhage and peritoneal irritation, which progress rapidly and are easily misdiagnosed. Quick and accurate diagnosis and timely effective treatment are greatly significant in managing emergent cases. This report describes emergency rescue by a multidisciplinary team of a patient with hemorrhagic shock caused by SMA rupture. CASE SUMMARY A 55-year-old man with hemorrhagic shock presented with SMA rupture. On admission, he showed extremely unstable vital signs and was unconscious with a laceration on his head, heart rate of 143 beats/min, shallow and fast breathing (frequency &gt; 35 beats/min), and blood pressure as low as 20/10 mmHg (1 mmHg = 0.133 kPa). Computed tomography revealed abdominal and pelvic hematocele effusion, suggesting active bleeding. The patient was suspected of partial rupture of the distal SMA branch. The patient underwent emergency mesenteric artery ligation, scalp suture, and liver laceration closure. In view of conditions with acute onset, rapid progression, and high bleeding volume, key points of nursing were conducted, including activating emergency protocol, opening of the green channel, and arranging relevant examinations with various medical staff for quick diagnosis. The seamless collaboration of the multidisciplinary team helped shorten the preoperative preparation time. Emergency laparotomy exploration and mesenteric artery ligation were performed to mitigate hemorrhagic shock while establishing efficient venous accesses and closely monitoring the patient’s condition to ensure hemodynamic stability. Strict measures were taken to avoid intraoperative hypothermia and infection. CONCLUSION After 3.5 h of emergency rescue and medical care, bleeding was successfully controlled, and the patient’s condition was stabilized. Subsequently, the patient was transferred to the intensive care unit for continuous monitoring and treatment. On the sixth day, the patient was weaned off the ventilator, extubated, and relocated to a specialized ward. Through diligent medical intervention and attentive nursing, the patient made a full recovery and was discharged on day 22. The follow-up visit confirmed the patient’s successful recovery.

Association between intraoperative hypothermia and outcomes in neonatal patients undergoing non-cardiac surgery

Objective: To investigate the impact of intraoperative hypothermia on postoperative outcome in neonatal patients undergoing non-cardiac surgery. Methods: The data of 1 008 neonates undergoing non-cardiac surgery in Children's Hospital, Zhejiang University School of Medicine from January 2020 to October 2022 were retrospectively collected,which included 558 males and 450 females, with a midian age [M (Q1, Q3)] of 6 (2, 14) days. Neonates were divided into 4 groups according to whether hypothermia (below 36 ℃) occurred and the lowest body temperature during the surgery: normal temperature group (n=246), mild hypothermia group (the lowest temperature ranged 35.0-35.9 ℃, n=434), moderate hypothermia group (the lowest temperature ranged 34.0-34.9 ℃, n=232) and severe hypothermia group (the lowest temperature<34 ℃, n=96). The primary outcome was the incidence of intraoperative hypothermia. The four groups' difference of postoperative hospital stay, postoperative mortality within 30 days, postoperative pulmonary complications, postoperative hemorrhage/blood transfusion and acidosis were compared. Multivariate logistic regression was used to analyze the relationship between intraoperative hypothermia and prolonged postoperative hospital stay (>14 d), 30 d-mortality and other complications. Results: In the 1 008 neonatal patients, 762 (75.6%) cases suffered intraoperative hypothermia, among which the incidence of mild, moderate and severe hypothermia was 43.1% (434/1008), 23.0% (232/1008) and 9.5% (96/1008), respectively. The postoperative hospital stay in normal, mild, moderate and severe hypothermia groups was 9.0 (5.8, 18.0), 12.0 (7.0, 21.0), 17.0 (10.0, 34.5) and 31.5 (12.5, 55.8) days. The mortality rate with 30 days after surgery was 2.9% (7/246), 4.4% (19/434), 6.9% (16/232) and 14.7% (14/96), the incidence of postoperative pulmonary complications was 31.7%(78/246), 39.9%(173/434), 44.8%(104/232) and 67.4%(64/96), the rate of postoperative hemorrhage/blood transfusion was 19.9%(49/246), 32.3%(140/434), 49.1%(114/232) and 79.0%(75/96), and the incidence of acidosis was 26.8%(66/246), 35.7%(155/434), 44.4%(103/232) and 46.3%(44/96), respectively. All differences were statistically significant (all P<0.05). According to the adjusted logistic regression analysis, compared with the normal body temperature group, severe hypothermia was associated with prolonged postoperative hospital stay (OR=1.962, 95%CI: 1.063-3.619) and postoperative pulmonary complications (OR=2.020, 95%CI: 1.149-3.553). The mild, moderate and severe hypothermia group could increase the risk of postoperative blood/transfusion rate (mild: OR=1.690, 95%CI: 1.080-2.644; Moderate: OR=2.382, 95%CI: 1.444-3.927; Severe: OR=8.334, 95%CI: 3.123-8.929). The mild and moderate hypothermia could raise the risk of acidosis (mild: OR=1.458, 95%CI: 1.009-2.107; Moderate: OR=1.949, 95%CI: 1.279-2.972). Conclusion: Intraoperative hypothermia can prolong the postoperative hospital stay, and increase the risk of postoperative mortality, postoperative pulmonary complications, postoperative hemorrhage/transfusion, and acidosis.

Construction of a Risk Prediction Model for Intraoperative Hypothermia in Patients Undergoing Lower Extremity Joint Replacement

PurposeTo investigate the influencing factors of intraoperative hypothermia (IOH) in patients undergoing total joint arthroplasty (TJA) of the lower extremities, establish a risk prediction model, and test the effect of application. DesignA prospective, observational study was conducted. MethodsPatients who underwent total knee arthroplasty and total hip arthroplasty from June 2020 to December 2021 were prospectively analyzed. According to the occurrence of IOH, patients were divided into the IOH group (temperature less than 36 °C) and non-IOH group (temperature ≥36 °C). We collected demographic, anesthesia, and surgical data for both groups to identify risk factors for IOH and develop a predictive model. The model's goodness of fit was assessed using the Hosmer-Lemeshow test, and its predictive efficacy was evaluated using the receiver operating characteristic curve. FindingsA total of 258 patients were included in this study, with 79 patients in the IOH group and 179 patients in the non-IOH group. Logistic regression analysis showed that American Society of Anesthesiologists' grade, blood loss, and duration of surgery were independent risk factors for IOH in lower extremity TJA patients. Hosmer-Lemeshow test P = .803, area under receiver operating characteristic curve was 0.846, Youden index was 0.490, sensitivity was 65.4%, specificity was 83.6%. In the external validation cohort, the application accuracy of the model was 83.3%. ConclusionsThe prediction model established in this study is suitable for the risk assessment of IOH in TJA patients with good prediction effect, which can provide a tool for clinical medical staff to identify high-risk populations preoperatively.

Effect of a Forced-Air Warming Blanket on Different Parts of the Body on Core Temperature of Patients Undergoing Elective Open Abdominal Surgery: A Randomized Controlled Single-Blind Trial

PurposeThis study aimed to determine the effect of a forced-air warming blanket placed on different body parts on the core temperature of patients undergoing elective open abdominal surgery. DesignProspective, single-center, randomized, controlled, single-blind trial. MethodsA total of 537 patients who underwent open abdominal surgery were randomized into groups A, B, and C and provided with different forced-air warming blankets. Group A was given an upper body blanket, group B a lower body blanket, and group C an underbody blanket. The incidence of intraoperative hypothermia, the time maintaining the core temperature over 36 ℃ before hypothermia, the duration of hypothermia, the rewarming rate, and relevant complications were compared among three groups. FindingsIntraoperative hypothermia occurred in 51.4% of patients in group B, 37.6% of patients in group A, and 34.1% of patients in group C (P = .002). Maintaining the core temperature above 36 ℃ was longer before hypothermia in groups A and C (log-rank P = .006). In groups A and C, the duration of hypothermia was shorter, the rewarming rate was higher, and the incidence of shivering and postoperative nausea and vomiting were lower, compared to group B. ConclusionsIn patients undergoing elective open abdominal surgery, a forced-air warming blanket on the upper body part or underbody area decreased intraoperative hypothermia, prolonged the time to maintain the core temperature above 36 ℃ before hypothermia, and could better prevent further hypothermia when the core temperature had decreased below 36 ℃. In addition, it was significantly superior in reducing shivering and postoperative nausea and vomiting in the postanesthesia care unit.