Objective To construct an intelligent postoperative rehabilitation management platform and evaluate its effect in patients with head and neck cancer.Methods The postoperative intelligent rehabilitation management platform of head and neck cancer patients was divided into 5 layers from bottom to top,including the underlying environment,platform support,core database,analysis algorithm and application platform.Through the construction of head and neck tumor postoperative complications knowledge base and risk prediction model and wearable device auxiliary precision prediction risk,the head and neck cancer patients with postoperative intelligent rehabilitation management was realized.A historical controlled study was conducted and 90 participants with head and neck cancer were selected who underwent the surgical treatment in a hospital in Hangzhou,Zhejiang Province.The experimental group(45 participants admitted from February to July)received the intervention by the intelligent rehabilitation management platform,while the control group(45 patients from August to December)received the routine rehabilitation management.The outcome measures including NRS scores at 12 h,24 h,48 h and 72 h after surgery,incidence of postoperative complications,postoperative length of hospital stay,and patient satisfaction were compared between the 2 groups.Results The scores of incidences of complications,postoperative hospital stay,and NRS scores at 12 h,24 h,48 h and 72 h after surgery in the experimental group were lower than those in the control group(P＜0.05),while the scores of patient satisfaction in the experimental group were higher than those of the control group(P＜0.05).Conclusion The intelligent postoperative rehabilitation management platform can achieve accurate prediction of postoperative complications,reduce postoperative complications of head and neck tumors,timely intervene to relieve patients'pain and discomfort,shorten hospital stays,improve nursing work efficiency and improve patient satisfaction.

Objective To construct an intelligent postoperative rehabilitation management platform and evaluate its effect in patients with head and neck cancer.Methods The postoperative intelligent rehabilitation management platform of head and neck cancer patients was divided into 5 layers from bottom to top,including the underlying environment,platform support,core database,analysis algorithm and application platform.Through the construction of head and neck tumor postoperative complications knowledge base and risk prediction model and wearable device auxiliary precision prediction risk,the head and neck cancer patients with postoperative intelligent rehabilitation management was realized.A historical controlled study was conducted and 90 participants with head and neck cancer were selected who underwent the surgical treatment in a hospital in Hangzhou,Zhejiang Province.The experimental group(45 participants admitted from February to July)received the intervention by the intelligent rehabilitation management platform,while the control group(45 patients from August to December)received the routine rehabilitation management.The outcome measures including NRS scores at 12 h,24 h,48 h and 72 h after surgery,incidence of postoperative complications,postoperative length of hospital stay,and patient satisfaction were compared between the 2 groups.Results The scores of incidences of complications,postoperative hospital stay,and NRS scores at 12 h,24 h,48 h and 72 h after surgery in the experimental group were lower than those in the control group(P＜0.05),while the scores of patient satisfaction in the experimental group were higher than those of the control group(P＜0.05).Conclusion The intelligent postoperative rehabilitation management platform can achieve accurate prediction of postoperative complications,reduce postoperative complications of head and neck tumors,timely intervene to relieve patients'pain and discomfort,shorten hospital stays,improve nursing work efficiency and improve patient satisfaction.

Objectives:To compare the efficacy of the combination of excimer laser coronary angioplasty(ELCA)and drug-coated balloon(DCB)for in-stent restenosis(ISR)and to evaluate the impact of neointimal tissue characteristics on treatment outcomes. Methods:A total of 96 ISR lesions from 86 patients who underwent optical coherence tomography(OCT)evaluation and DCB with or without ELCA treatment at The First Medical Center of Chinese PLA General Hospital from January 2019 to May 2023 were retrospectively analyzed.ISR lesions were divided into ELCA+DCB group(n=30)and DCB group(n=66).Additionally,ISR lesions were classified as homogeneous and non-heterogeneous patterns based on the OCT characteristics of the neointimal tissue,and the impact on acute lumen gains was compared between different ISR patterns.Acute lumen gain(ΔMLA)was defined as the changes in minimum lumen area before and after the intervention. Results:The ELCA+DCB group had a significantly greater ΔMLA than the DCB group([3.2±0.8]mm2 vs.[2.6±1.4]mm2,P=0.015).Among the ISR with a homogeneous pattern,the ΔMLA of the ELCA+DCB group was significantly greater than that of the DCB group([3.0±0.9]mm2 vs.[2.2±1.1]mm2,P=0.030).There was no significant difference in ΔMLA between the two ISR groups with the non-homogeneous pattern([3.4±0.7]mm2 vs.[3.2±1.5]mm2,P=0.533).There was no death,the rate of target lesion revascularization was similar between the patients with lesions receiving DCB treatment and patients receiving ELCA +DCB treatment(7.4%vs.4.2%,P＞0.05). Conclusions:The combination of ELCA and DCB is an effective strategy for treating ISR,which can achieve greater acute lumen gain compared to DCB treatment alone,especially for the treatment of homogenous ISR pattern characterized by OCT.

Objective To observe the effects of Soyasaponins on inflammatory factors, antioxidant activity and exercise ability in rats with severe heat stroke. Methods Eighty male Sprague-Dawley (SD) rats were randomly divided into normal control group, heat shock model group, saline control group and Soyasaponin group, The rats that died during the experiment or with a low rectal temperature (< 41℃) were excluded, and finally 54 rats were included, 18 rats remaining in each group. The rats in the heat shock model group were placed in the simulated hot climate animal cabin at 30 ℃, and the temperature within 30 minutes was raised to 39 ℃ in the cabin with 65% humidity; in the mean time, the rat models of heat shock were replicated under the following situations: let the rats exercise on a treadmill with running speed set at 15 m/min, slope degree 0°, once running for 8 minutes, interval 2 minutes and the heat shock time was 90 minutes, the rats in the normal control group were fed in an environment with temperature ranging from 23-25 ℃ and relative humidity ranging from 50%-70%. After the establishment of models, the saline control group and Soyasaponin group were given daily saline and Soyasaponin (10 mg/kg) respectively by gavage for 3 consecutive months, while the heat shock model group was not given any treatment. The femoral artery blood was collected 24 hours after the rats left the cabin. The serum levels of interleukins (IL-6, IL-1β), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), malonaldehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) were measured by enzyme-linked immunosorbent (ELISA) and the contents of serum hemoglobin (Hb), serum urea (BUN), lactate dehydrogenase (LDH) and blood lactic acid (Lac) were measured by automatie biochemical analyzer. Results The levels of IL-6, IL-1β, TNF-α, IFN-γ, MDA, Hb, BUN, LDH, Lac in heat shock model group were significantly higher than those of the normal control group [IL-6 (ng/L): 86.17±4.82 vs. 12.60±3.49, IL-1β (ng/L): 83.00±5.98 vs. 15.70±3.64, TNF-α (ng/L): 72.22±6.93 vs. 13.75±2.69, IFN-γ (ng/L): 36.22±3.02 vs. 7.35±1.60, MDA (nmol/mg): 19.78±4.56 vs. 6.40±1.35, Hb (g/L): 136.22±1.93 vs. 126.75±5.84, BUN (mmol/L):21.06±3.44 vs. 5.65±1.35, LDH (μmoL·s-1·L-1): 9.65±0.83 vs. 2.12±0.17, Lac (mmol/L): 552.56±78.33 vs. 1.32±0.18, all P ＜ 0.05], SOD and GSH-Px were significantly lower than those in normal control group [SOD (kU/L):97.89±10.57 vs. 126.65±11.35, GSH-Px (kU/L): 19.22±2.58 vs. 43.45±4.02]; however, the levels of IL-6, IL-1β, TNF-α, IFN-γ, MDA, BUN, LDH and Lac in Soyasaponin group were significantly lower than those in heat shock model group [IL-6 (ng/L): 45.28±3.54 vs. 86.17±4.82, IL-1β (ng/L): 41.61±2.93 vs. 83.00±5.98, TNF-α (ng/L):37.22±2.46 vs. 72.22±6.93, IFN-γ (ng/L): 19.22±2.60 vs. 36.22±3.02, MDA (nmol/mg): 11.28±1.74 vs. 19.78±4.56, BUN (mmol/L): 11.78±2.13 vs. 21.06±3.44, LDH (μmoL·s-1·L-1): 3.70±0.26 vs. 9.65±0.83, Lac (mmol/L): 274.56±59.08 vs. 552.56±78.33, all P < 0.01], SOD, GSH-Px and Hb were significantly higher than those of heat shock model group [SOD (kU/L): 116.11±11.28 vs. 97.89±10.57, GSH-Px (kU/L): 31.17±2.90 vs. 19.22±2.58, Hb (g/L): 141.33±3.79 vs. 136.22±1.93, all P < 0.01]; there were no significant statistical differences in above indexes between heat shock model group and saline control group (all P > 0.05). Conclusion After heat shock and exercise management, the production and release of inflammatory factors are increased, and the level of lipid peroxidation was elevated in rats. The Soyasaponin can improve the ability to withstand heat shock and strong exercise by reducing the production and release of inflammatory factors and lipid peroxidation in the rats with severe heatstroke.

Objective To explore the relationship between training burnout, sleep quality and heat regulation response, severe heatstroke in people performed 5-km armed cross-country training. Methods 600 male officers and soldiers who participated in 5-km armed cross-country training in summer from 2017 to 2018 were enrolled. All trainees participated in 5-km armed cross-country training in environment with ambient temperature > 32 ℃ and (or) humidity > 65%. They were divided into two groups according to whether severe heatstroke occurred during 5-km armed cross-country training. The age, military age, body mass index (BMI), physical fitness score, external environment (such as ambient temperature, relative humidity, wind speed, heat index), training burnout score and Pittsburgh sleep quality index scale (PSQI) score, heart rate (HR), core temperature (Tc), sweating volume and serum Na+, K+, Cl- levels were compared between the groups. The risk factors of severe heatstroke during 5-km armed cross-country training were screened by binary multivariate Logistic regression analysis. Results There were 26 cases of severe heatstroke in 600 trainees who participated in 5-km armed cross-country training, with an incidence of 4.33%. There was no significant difference in age, military age, BMI, physical fitness score and external environment of 5-km armed cross-country training between people with or without severe heatstroke. Compared with those without severe heatstroke, the dimensions of training burnout and the total average scores of training burnout of severe heatstroke personnel before 5-km armed cross-country training were increased significantly (physical and mental exhaustion score: 12.4±2.5 vs. 9.4±3.5, training alienation score: 8.8±2.8 vs. 5.8±2.3, low sense of achievement score: 8.2±2.7 vs. 5.6±2.3, total score of training burnout: 9.8±3.2 vs. 6.9±3.2, all P < 0.01), all factors except daytime dysfunction (DD) of PSQI and total PSQI score were also increased significantly [sleep quality (SQ) score: 1.0 (1.0, 2.0) vs. 1.0 (1.0, 1.0), fall asleep time (SL) score: 2.0 (1.0, 3.0) vs. 1.0 (1.0, 1.0), sleep time (SH) score: 1.0 (0.8, 2.0) vs. 1.0 (0, 1.0), sleep efficiency (SE) score: 1.0 (0, 1.0) vs. 0 (0, 0.8), sleep disorder (SD) score: 2.0 (1.0, 3.0) vs. 1.0 (0, 2.0), total PSQI score: 1.0 (1.0, 2.0) vs. 1.0 (0, 1.0), all P < 0.01], HR was increased significantly at onset (bpm: 120.00±10.57 vs. 86.49±14.91, P < 0.01), Tc was increased significantly (℃: 41.46±0.57 vs. 37.97±0.83, P < 0.01), serum electrolyte contents were decreased significantly [Na+ (mmol/L): 130.54±5.97 vs. 143.15±10.56, K+ (mmol/L): 3.72±0.44 vs. 4.37±0.50, Cl- (mmol/L):97.58±4.80 vs. 102.10±2.39, all P < 0.01], and the amount of sweat during training was increased significantly (g: 395.81±16.16 vs. 371.88±40.76, P < 0.01). Binary multivariate Logistic regression analysis showed that total score of training burnout [odd ratio (OR) = 0.653, 95% confidence interval (95%CI) = 0.563-0.757], total PSQI score (OR =0.693, 95%CI = 0.525-0.916), HR (OR = 0.871, 95%CI = 0.838-0.908), Tc (OR = 0.088, 95%CI = 0.043-0.179), sweating volume (OR = 0.988, 95%CI = 0.979-0.997), Na+ (OR = 1.112, 95%CI = 1.069-1.158), K+ (OR = 13.900, 95%CI = 5.343-36.166), Cl- (OR = 1.393, 95%CI = 1.252-1.550) were independent risk factors for severe heatstroke during 5-km armed cross-country training (all P < 0.01). Conclusion Increase in training burnout, total PSQI score, excessive changes of body heat regulation response and excessive loss of Na+, K+, Cl- in serum are independent risk factors for severe heatstroke during 5-km armed cross-country training under the same conditions with high temperature and humidity environment.

To explore the effects of different fluid replenishment methods on the internal environment, body thermal regulatory response and severe heatstroke of 5-km armed cross-country training soldiers. Methods A Special Force officers and soldiers who participated in 5-km armed cross-country training (2-3 times a week, 25-30 minutes each time for 3 weeks) during summer training from June to July in 2018 were enrolled, and they were divided into three groups according to the random number table, with 300 trainees in each group. 200 mL of drinking fluids were given to each group 15 minutes before and after each 5-km armed cross-country training: A group with boiled water, B group with purified water, and C group with beverage prepared by pharmaceutical laboratory of the 990th Hospital of PLA Joint Logistics Support Force (100 mL containing 6 g carbohydrates, 42 mg sodium, and 11 mg potassium). The venous blood was collected before and after the last training or during the onset of severe heatstroke to do the following tests: serum cardiac troponin I (cTnI, chemiluminescence), MB isoenzyme of creatine kinase (CK-MB, immunosuppressive), serum creatinine (SCr, enzymatic method), urea nitrogen (BUN, enzymatic method), alanine aminotransferase (ALT, tryptase), aspartate transaminase (AST, tryptase), and Na+, K+, Cl- (electrode method). The heart rate (HR) and core temperature (Tc, anal temperature) were monitored at the same time. The amount of sweat in training and the occurrence of severe heatstroke were also recorded. Results There was no significant difference in heart, liver, kidney function, electrolyte and body heat regulation reaction among three groups of 5-km armed cross-country trainees before training. Compared with before training, the levels of serum cTnI, CK-MB, SCr, BUN, ALT, AST, HR and Tc were significantly increased after training or during the onset of severe heatstroke in three groups, while the contents of Na+, K+, Cl- were significantly decreased, but the increase or decrease of group C was relatively smaller compared with group A and group B [cTnI (μg/L): 0.9 (0.6, 1.4) vs. 1.1 (0.7, 2.8), 1.0 (0.6, 3.3); CK-MB (U/L): 7.0 (5.0, 11.0) vs. 9.0 (6.0, 14.5), 8.0 (6.0, 15.0); SCr (μmol/L): 92.09±18.64 vs. 102.78±18.77, 103.64±20.07; BUN (mmol/L): 7 (6, 9) vs. 9 (8, 11), 10 (8, 13); ALT (U/L): 27 (22, 34) vs. 36 (30, 43), 34 (27, 43); AST (U/L): 37 (31, 48) vs. 41 (34, 50), 39 (34, 51); HR (bpm):87.01±17.07 vs. 95.88±21.06, 96.59±22.04; Tc (℃): 37.73±0.81 vs. 38.03±1.05, 38.10±1.04; Na+ (mmol/L):150.14±3.86 vs. 144.18±8.89, 144.04±9.39; K+ (mmol/L): 4.32±0.57 vs. 4.15±0.62, 4.13±0.51; Cl- (mmol/L):100.43±3.71 vs. 98.42±4.24, 98.41±4.58; all P < 0.01]. The incidence of severe heatstroke in group C was significantly lower than that in group A and group B [1.67% (5/300) vs. 5.00% (15/300), 5.33% (16/300), χ2 = 6.424, P = 0.040]. There was no significant difference in sweating volume in groups A, B, C (g: 370.47±48.71, 370.85±50.66, 370.17±50.21, F = 0.014, P = 0.986). There was no significant difference in the above indexes between group A and group B (all P > 0.05). Bi-classification Logistic regression analysis showed that the increase of HR, Tc and excessive loss of Na+, K+, Cl- were risk factors for severe heatstroke [odds ratio (OR) was 0.848, 0.138, 1.565, 17.996 and 2.328 respectively, all P < 0.01]. Conclusions Timely supplementation of carbohydrate, sodium and potassium ions can effectively change the internal environment and body heat regulation reaction of 5-km armed cross-country trainees, so as to reduce the occurrence of severe heatstroke. The increases of HR, Tc and excessive loss of Na+, K+, Cl- are risk factors for severe heatstroke.

OBJECTIVE: To explore the relationship between physiological parameters changes and severe heatstroke induced by 5-km armed cross-country training. METHODS: A total of 521 male officers and soldiers from a special team who participated in the summer training of 5-km armed cross-country training from year 2016 to 2017 were enrolled. All trainees participated in 5-km armed cross-country training in high temperature and humidity environment of ambient temperature > 32 centigradeand (or) relative humidity > 65%. The trainees were divided into two groups according to the incidence of severe heatstroke in the course of training. The age, enlistment time, constitution score, body mass index (BMI), external environment (ambient temperature, relative humidity, wind speed, heat index) of trainees of the two groups, and the change rates of arterial blood oxygen saturation (SaO₂), body temperature, pulse and blood pressure within 5 minutes after the 5-km armed cross-country training were compared between the two groups. The risk factors of severe heatstroke were screened by two classified Logistic regression analysis, and the predictive value of various risk factors of severe heatstroke was analyzed by the receiver operator characteristic curve (ROC). RESULTS: In 521 trainees of 5-km armed cross-country training, 29 trainees suffered from severe heatstroke accounting for 5.57%. There was no significant difference in the age, enlistment time, constitution score, BMI, or external environment during 5-km armed cross-country training between severe heatstroke group and non-severe heatstroke group. Compared with those without severe heatstroke, the descending rates of body temperature, pulse, blood pressure and SaO₂ increased rate within 5 minutes after 5-km armed cross-country training of severe heatstroke trainees were significantly decreased [temperature descending rate: (0.67±0.30)% vs. (1.43±1.28)%, pulse descending rate: (7.53±5.21)% vs. (13.48±8.07)%, blood pressure descending rate: (9.28±6.84)% vs. (19.42±7.73)%, SaO₂ increased rate: (0.51±0.39)% vs. (1.50±1.43)%, all P < 0.01]. Two classification Logistic regression analysis showed that the temperature descending rate [odds ratio (OR) = 0.485, 95% confidence interval (95%CI) = 0.289-0.817], pulse descending rate (OR = 0.903, 95%CI = 0.845-0.965), blood pressure descending rate (OR = 0.841, 95%CI = 0.790-0.896), and SaO2 increased rate (OR = 0.421, 95%CI = 0.250-0.711) were the risk factors for severe heatstroke during 5-km armed cross-country training (all P < 0.01). ROC curve analysis showed that temperature descending rate [area under ROC curve (AUC) = 0.659, 95%CI = 0.604-0.714], pulse descending rate (AUC = 0.730, 95%CI = 0.762-0.900), blood pressure descending rate (AUC = 0.831, 95%CI = 0.659-0.801), SaO₂ increased rate (AUC = 0.711, 95%CI = 0.655-0.767) could be used for the incidence of severe heatstroke prediction during 5-km armed cross-country training (all P < 0.01), and the predicted value was the same. CONCLUSIONS Under the same conditions, the severe heatstroke during 5-km cross-country training is closely related to the descending rates of body temperature, pulse, and blood pressure as well as SaO₂ increased rate within 5 minutes after the training, whose predictive values for severe heatstroke were the same.
Blood Pressure ; Heart Rate ; Heat Stroke ; Hot Temperature ; Humans ; Male ; Risk Factors

Objective To observe the relationship between different degree of cerebral edema and multiple organ dysfunction syndrome (MODS) of exertional heat stroke (EHS) patients. Methods The patients with EHS admitted to intensive care unit (ICU) of the 159th Hospital of PLA from June 2015 to June 2017 were enrolled. The electrical impedance perturbation coefficient (EIDC) of bilateral cerebral hemispheres were monitored at 2, 24 and 72 hours after the onset of the disease by BORN-BE non-invasive dynamic cerebral edema monitor, and the patients were divided into 9+ group, 10+ group and 11+ group according to the resistance of the measured mean impedance coefficients. Fasting venous blood of the patients were acquired after 2 hours and 72 hours of the disease, the levels of serum interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), nitric oxide (NO), nitric oxide synthase (NOS), cardiac troponin I (cTnI), MB isoenzyme of creatine kinase (CK-MB), creatinine (Cr), β2-microglobulin (β2-MG), alanine aminotransferase (ALT) and aspartate transaminase (AST) were detected. The occurrence of MODS within 72 hours was recorded. Linear regression analysis of the correlation between EIDC and MODS was done. Results All 124 EHS patients were male; the age was (22.10±4.43) years. Among them, 20 in EIDC 9+ group, 61 in 10+ group, and 43 in 11+ group. There were no significant differences in the levels of IL-1β, TNF-α, NO, NOS, cTnI, CK-MB, Cr, β2-MG, ALT, AST after onset of 2 hours among different EPIC groups; all the indexes of 72 hours were significantly higher than those of 2 hours in each group; and the higher the EIDC, the more obvious increase of each index [EIDC 9+ group, 10+ group, 11+ group at 72 hours IL-1β (ng/L): 12.05±3.75, 18.49±7.94, 23.21±10.44;TNF-α (ng/L): 13.10±3.18, 18.92±7.23, 23.40±10.17; NO (μmol/L): 99.50±12.10, 111.41±17.75, 120.81±15.58;NOS (kU/L): 47.95±8.33, 56.70±12.12, 63.37±12.60; cTnI (ng/L): 92.75±20.92, 107.20±18.96, 117.30±14.53;CK-MB (U/L): 73.55±9.25, 83.23±13.19, 93.49±12.25; Cr (μmol/L): 165.30±9.41, 176.62±9.83, 180.09±10.14;β2-MG (mg/L): 16.45±2.68, 19.07±3.68, 22.05±3.93; ALT (U/L): 500.10±87.05, 563.90±91.28, 612.16±90.61, AST (U/L): 414.30±53.35, 470.51±73.83, 512.09±81.29, respectively, two-two comparison all P ＜ 0.05], the higher of the MODS incidence [40.00 % (8/20), 65.57% (40/61), 83.72% (36/43), x2= 12.199, P = 0.002]. Linear regression analysis showed that the degree of cerebral edema was positively correlated with the incidence of MODS (R2= 0.905, P = 0.002). Conclusion The higher of the EIDC, the more severe of cerebral edema, the stronger of the inflammatory reaction, and the more severe damage of heart, liver, kidney and other organs in EHS patients within 72 hours.

Objective: To explore the relationship between physiological parameters changes and severe heatstroke induced by 5-km armed cross-country training. Methods: A total of 521 male officers and soldiers from a special team who participated in the summer training of 5-km armed cross-country training from year 2016 to 2017 were enrolled. All trainees participated in 5-km armed cross-country training in high temperature and humidity environment of ambient temperature > 32 ℃and (or) relative humidity > 65%. The trainees were divided into two groups according to the incidence of severe heatstroke in the course of training. The age, enlistment time, constitution score, body mass index (BMI), external environment (ambient temperature, relative humidity, wind speed, heat index) of trainees of the two groups, and the change rates of arterial blood oxygen saturation (SaO₂), body temperature, pulse and blood pressure within 5 minutes after the 5-km armed cross-country training were compared between the two groups. The risk factors of severe heatstroke were screened by two classified Logistic regression analysis, and the predictive value of various risk factors of severe heatstroke was analyzed by the receiver operator characteristic curve (ROC). Results: In 521 trainees of 5-km armed cross-country training, 29 trainees suffered from severe heatstroke accounting for 5.57%. There was no significant difference in the age, enlistment time, constitution score, BMI, or external environment during 5-km armed cross-country training between severe heatstroke group and non-severe heatstroke group. Compared with those without severe heatstroke, the descending rates of body temperature, pulse, blood pressure and SaO₂ increased rate within 5 minutes after 5-km armed cross-country training of severe heatstroke trainees were significantly decreased [temperature descending rate: (0.67±0.30)% vs. (1.43±1.28)%, pulse descending rate: (7.53±5.21)% vs. (13.48±8.07)%, blood pressure descending rate: (9.28±6.84)% vs. (19.42±7.73)%, SaO₂ increased rate: (0.51±0.39)% vs. (1.50±1.43)%, all P < 0.01]. Two classification Logistic regression analysis showed that the temperature descending rate [odds ratio (OR) = 0.485, 95% confidence interval (95%CI) = 0.289-0.817], pulse descending rate (OR = 0.903, 95%CI = 0.845-0.965), blood pressure descending rate (OR = 0.841, 95%CI = 0.790-0.896), and SaO₂ increased rate (OR = 0.421, 95%CI = 0.250-0.711) were the risk factors for severe heatstroke during 5-km armed cross-country training (all P < 0.01). ROC curve analysis showed that temperature descending rate [area under ROC curve (AUC) = 0.659, 95%CI = 0.604-0.714], pulse descending rate (AUC = 0.730, 95%CI = 0.762-0.900), blood pressure descending rate (AUC = 0.831, 95%CI = 0.659-0.801), SaO₂ increased rate (AUC = 0.711, 95%CI = 0.655-0.767) could be used for the incidence of severe heatstroke prediction during 5-km armed cross-country training (all P < 0.01), and the predicted value was the same. Conclusions Under the same conditions, the severe heatstroke during 5-km cross-country training is closely related to the descending rates of body temperature, pulse, and blood pressure as well as SaO₂ increased rate within 5 minutes after the training, whose predictive values for severe heatstroke were the same.

Objective To investigate the protective effect of mild hypothermia at different starting times on the physiological functions of the viscera of exertional heat stroke (EHS). Methods A prospective randomized controlled trial was conducted. EHS patients admitted to intensive care unit of the 159th Hospital of People's Liberation Army and the First Affiliated Hospital of Zhengzhou University from June 2015 to June 2017 were enrolled. The patients were divided into 2, 4, 6 hours start hypothermia treatment groups according to the random number table method, the mild hypothermia was initiated at 2, 4 and 6 hours after the disease onset respectively, and the methods were the same in each group. After treatment of 2, 12, 24 hours, the venous blood in the three groups was collected to detect serum cardiac troponin I (cTnI) with chemiluminescence method, MB isoenzyme of creatine kinase (CK-MB) with immunosuppressive method, creatinine (Cr) with creatine oxidase method, β2-microglobulin (β2-MG) with turbidimetry, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) with enzyme method. Multiple organ dysfunction syndrome (MODS) within 24 hours after treatment was recorded. Linear regression analysis of the correlation between mild hypothermia start-up time and MODS was done. Results Ninety-three cases of EHS were included,with 32, 31 and 30 patients in 2, 4, 6 hours start treatment groups respectively. There were no significant differences in gender, age, core temperature, onset time to admission, Glasgow coma scale (GCS), acute physiology and chronic health evaluation system Ⅱ(APACHE Ⅱ) score at admission among the three groups. There were no significant differences in the levels of serum cTnI, CK-MB, Cr, β2-MG, ALT and AST at 2 hours after treatment. But with the prolongation of the treatment time, all indicators gradually increased. And the earlier start of the mild hypothermia, the less significant of the above indexes. All indexes in 2 hours start treatment group were significantly lower than those of 2 hours and 6 hours start treatment groups at 24 hours after treatment [cTnI (ng/L): 49.53±9.25 vs. 56.52±10.05, 64.57±11.21; CK-MB (U/L):51.47±11.83 vs. 57.87±7.43, 64.40±7.93; Cr (μmol/L): 140.97±11.33 vs. 148.16±10.39,155.57±8.65; β2-MG (mg/L): 10.28±1.46 vs. 11.58±2.13, 12.93±1.98; ALT (U/L): 248.53±75.47 vs. 341.42±129.58, 425.77±101.23;AST (U/L): 197.25±42.59 vs. 292.81±58.49, 351.20±60.41, all P < 0.05]. There was significant difference in the incidence of MODS in 2, 4, 6 hours start treatment groups [43.75% (14/32), 64.52% (20/31), 80.08% (24/30), χ2= 8.761, P = 0.013]. Linear regression analysis showed that the earlier onset time of mild hypothermia, the lower incidence of MODS (R2= 0.915, P = 0.013). Conclusion The application of mild hypothermia in 2 hours can effectively protect the physiological function of EHS organs and reduce the incidence of MODS.