Inadvertent perioperative hypothermia (IPH) is one of the common complications of surgery, which can lead to a series of adverse consequences. In recent years, with the deepening development of precision medicine concepts, establishing predictive models to identify the risk of IPH early and implementing targeted interventions has become an important research direction for perioperative management. This article reviews the current research status of IPH predictive models in adults, focusing on the research design, modeling methods, selection of prediction factors, and prediction performance of different predictive models. It also explores the advantages and limitations of existing models, aiming to provide references for the selection, application, and optimization of relevant predictive models.
Objective To investigate the effect of perioperative body temperature on the survival of skin flap grafting. Methods From July 2005 to November 2006, 50 cases of Ⅰ-Ⅱ grade patients undergoing elective skin flap grafting were randomly divided 2 groups. Pharyngeal temperature (PT) and skin temperature(ST) were monitored and recorded every 15 minutes. Operativetime, anesthetic time, time from the end of operation to extubation, the volume of blood transfusion, the volume of fluid transfusion and the flap survival 7 days after operation were recorded. In the experimental group, the body temperature was maintained in normal range with water market and forced air heater. In the control group， the body temperature was only monitored without any treatment. Results There were no significant differences in operating room temperature, operative time, anesthetic time, the volume of blood transfusion and fluid transfusion between 2 groups(Pgt;0.05). After induction, PT decreased gradually inboth groups during the first 45 minutes, compared with the time point of intubation(Plt;0.05),but there were no significant differences between the 2 groups(Pgt;0.05); and ST rose in both groups during the first45 minutes, compared with the time point of intubation (Plt;0.05). After 45 minutes of induction, in the experimental group, PT was in the normal range(36℃), and ST didn’t change compared with that of the timepoint of induction(Pgt;0.05). In the control group, both PT and ST decreasedgradually and timedependently compared with the time point of intubation (Plt;0.05). In the experimental group, PT and ST at each time point were higher than those in the control group (Plt;0.05). All the skin flap grafts survived in the experimental group, and skin flap grafts necrosed in 2 cases in the control group.Conclusion Keeping normal body temperature can improve the survival ofskin flap grafting. Therefore, the body temperature should be monitored and maintained in a normal range.
ObjectiveTo investigate the influencing factor of intraoperative hypothermia during laparotomy.MethodsA total of 81 patients underwent laparotomy in our hospital from October 1, 2018 to January 1, 2019 were enrolled. The difference of preoperative baseline data and surgical data between the hypothermia and non-hypothermia groups was compared, and the influencing factor of intraoperative hypothermia during laparotomy was explored.ResultsOf the 81 patients, 32 patients occurred hypothermia during operation. There were no significant differences in gender, age, BMI, HGB, WBC count, PLT count, TB, AST, ALT, ALB, PT, operation time, postoperative hospital stay, and Clavien-Dindo grade between the hypothermia group and the non-hypothermia group (P>0.05), but there were significant differences in intraoperative infusion volume, intraoperative blood loss, and surgical mode (P<0.05). The intraoperative infusion volume and intraoperative blood loss in the hypothermia group were higher than those in the non-hypothermia operation group, and the proportion of hepatectomy was higher than that in the non-hypothermia group. The multivariate analysis show that the intraoperative blood loss, intraoperative infusion volume, and kind of operation were the risk factors for the hypothermia during laparotomy (P<0.05).ConclusionsIntraoperative hypothermia is related to intraoperative bleeding volume, intraoperative fluid infusion volume, and the kind of operation. Therefore, for patients with less bleeding, the intraoperative hypothermia can be reduced by limiting the volume of intraoperative fluid infusion. For those patients with more intraoperative bleeding, warming fluid infusion may reduce the incidence of intraoperative hypothermia.
In recent years, target temperature management (TTM) has been increasingly applied to cardiac arrest patients, and programs and strategies for TTM are in a constant state of update and refinement. This paper analyzes and proposes relevant strategies from the concept of TTM, its clinical application status for cardiac arrest patients in domestic and international medical institutions, its deficiencies in the clinical practice, and factors affecting the development of TTM, with a view to providing a realistic basis for the development of high-quality TTM in medical institutions.
ObjectiveTo study the method of rapid and accurate measurement of body temperature in dense population during the coronavirus disease 2019 pandemic.MethodsFrom January 27th to February 8th, 2020, subjects were respectively measured with two kinds of non-contact infrared thermometers (blue thermometer and red one) to measure the temperature of forehead, neck, and inner side of forearm under the conditions of 4–6℃ (n=152), 7–10℃ (n=103), and 11–25℃ (n=209), while the temperature of axillary was measured with mercury thermometer under the same conditions. Taking the mercury thermometer temperature as the gold standard, the measurement results with non-contact infrared thermometers were compared.ResultsAt 7–10℃, there was no statistical difference among the forehead temperatures measured by the two non-contact infrared thermometers and the axillary temperature (P>0.05); there was no difference among the temperature measured by blue thermometer on forehead, neck, and inner side of forearm (P>0.05); no difference was found between the temperature measured by the red thermometer on forehead and inner side of forearm (P>0.05), while there was statistical difference between the temperatures measured by the red thermometer on forehead and neck (P<0.05). Under the environment of 11−25℃, there was no statistical difference among the forehead temperatures measured by the two infrared thermometers and the axillary temperature (P>0.05); the difference between the temperatures of forehead and inner side of forearm measured by the blue thermometer was statistically significant (P<0.05), while no difference appeared between the forehead and neck temperatures measured by the blue thermometer (P>0.05); there was no statistical difference among the temperatures of three body regions mentioned above measured by the red thermometer (P>0.05). According to the manual, the allowable fluctuation range of the blue thermometer was 0.3℃, and that of the red one was 0.2℃. The mean differences in measured values between different measured sites of the two products were within the allowable fluctuation range. Therefore, the differences had no clinical significance in the environment of 7–25℃. Under the environment of 4–6℃, the detection rate of blue thermometer was 2.2% and that of the red one was 19.1%.ConclusionsThere is no clinical difference between the temperature measured by mercury thermometer and the temperature measured by temperature guns at 7–10 or 11–25℃, so temperature guns can be widely used. In order to maintain the maximum distance between the measuring and the measured persons and reduce the infection risk, it is recommended to choose the inner forearm for temperature measurement. Under the environment of ambient temperature 4–6℃, the detection rate of non-contact electronic temperature gun is low, requiring taking thermal measures for the instrument.
Objective To systematically review the effectiveness of forced air warming for the maintenance of perioperative core temperature, so as to provide clinical evidence for an appropriate warming plan during the perioperative period. Methods We electronically searched PubMed, The Cochrane Library, EMbase, Web of Science, CBM and CNKI from 2000 to 2012, so as to comprehensively collect randomized controlled trials (RCTs) about the effectiveness of different warming methods for the maintenance of perioperative core temperature (including forced air warming, resistive-heating blanket/electric heating pad, circulating water mattress, and infrared ray radiant heating system) for maintenance of perioperative core temperature. References of the included studies were also retrieved. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data and assessed the quality of the included studies. Then, meta-analysis was performed using RevMan 5.1 software. Results Eleven RCTs involving 577 patients were included. The results of meta-analysis indicated that, in the maintenance of core temperature during the perioperative period, forced air warming was superior to resistive-heating blanket/electric heating pad (SMD= –0.40, 95%CI –0.73 to –0.06), circulating water mattress (SMD= –1.10, 95%CI –1.55 to –0.66), and infrared ray radiant heating system (SMD= –0.69, 95%CI –1.06 to –0.32). In the incidence of hypothermia during the perioperative period, the group of forced air warming was lower than the group of blanket/electric heating pad (RR=1.76, 95%CI 1.15 to 2.69), but it was the same as the group of infrared ray radiant heating system (RR=1.37, 95%CI 0.83 to 2.27). In the incidence of shivering during the perioperative period, the group of forced air warming was the same as the group of blanket/electric heating pad (RR=0.75, 95%CI 0.18 to 3.21) and the group of infrared ray radiant heating system (RR=0.8, 95%CI 0.19 to 3.36). Conclusion Compared with resistive-heating blanket/electric heating pad, circulating water mattress, and infrared ray radiant heating system, forced air warming maintains patients’ core temperature better during the perioperative period, with a lower incidences of hypothermia. Due to the limited quantity and quality of the included studies, more high quality RCTs with large sample size are needed to verify the above conclusion.