Objective To investigate the predictive value of changes in various indicators of routine blood tests for the severity of brain damage in patients with acute cerebral hemorrhage(ACH)in high-altitude regions.Methods A retrospective analysis was conducted using data from 249 inpatients diagnosed with ACH at a hospital in Xizang.Patient data,including demographic information and results of routine blood tests,were collected.Based on their Glasgow Coma Scale(GCS)scores,the patients were divided into 2 groups,a mild brain damage group(GCS≥13 points)and a moderate-to-severe brain damage group(GCS≤12 points).Demographic information and laboratory test results were compared between the two groups.Binary logistic regression analysis was performed to examine the relationship between indicators of routine blood tests and the severity of brain damage,and key indicators were identified.The receiver operating characteristic(ROC)curve analysis was used to evaluate the predictive performance of key indicators in various combinations for the severity of brain injury in ACH patients.Results The moderate-to-severe group had a higher proportion of high-altitude residents,as well as elevated levels of white blood cells(WBC),neutrophils(N),neutrophil-to-lymphocyte ratio(NLR),systemic inflammatory index(SII),neutrophil-to-platelet ratio(NPR),and C-reactive protein(CRP)-to-lymphocyte ratio(CLR),compared to the mild group.On the other hand,the levels of lymphocytes(L),platelets(PLT),and platelet-to-albumin ratio(PAR)in the moderate-to-severe group were lower than those in the mild group.Binary logistic regression analysis showed that WBC(OR=1.221,95%CI:1.127-1.322),CRP(OR=1.019,95%CI:1.004-1.033),CRP-to-albumin ratio(CAR)(OR=1.845,95%CI:1.137-2.996),and CLR(OR=1.018,95%CI:1.005-1.030)were positively associated with moderate-to-severe brain damage,and that their elevated levels were associated with an increase in risk by the corresponding folds.PAR(OR=0.845,95%CI:0.721-0.990)was negatively correlated with moderate-to-severe brain damage,with an increase resulting in a reduction of risk by 0.845 times.ROC curve analysis showed that,in the mild group,the combined AUC for WBC+CRP was 0.689(optimal cutoff value 0.19,specificity 0.776,95%CI:0.624-0.755);the PAR+CAR+CLR combination(CAR was not significant,P>0.05)had an AUC of 0.675(optimal cutoff value 0.19,specificity 0.760,95%CI:0.609-0.741);the key indicator combination of WBC+PAR+CLR(CRP was not significant,P>0.05)demonstrating the strong predictive performance moderate-to-severe brain damage,yielding an AUC of 0.737(optimal cutoff value 0.08,specificity 0.624,95%CI:0.676-0.798).Conclusion The indicator combinations of WBC+CRP,PAR+CLR,and WBC+PAR+CLR exhibit significant value for predicting the severity of brain injury in ACH patients and may serve as potential predictive tools for the severity of brain damage in patients with acute cerebral hemorrhage in high-altitude regions.

Objective To investigate the prevalence of Echinococcus infections in small rodents around human residential areas in Yushu City, Qinghai Province in 2023, so as to provide insights into precision echinococcosis control. Methods One or two quadrats, each measuring 50 m × 50 m, were randomly assigned in Shanglaxiu Township and Longbao Township, Yushu City, Qinghai Province on June 2023, respectively, and 300 plate-type mouse traps, each measuring 12.0 cm × 6.5 cm, were assigned in each quadrat. Small rodents were captured during the period between 10 : 00 and 18 : 00 each day for 4 days. Then, all captured small rodents were identified and dissected, and liver specimens with suspected Echinococcus infections were subjected to pathological examinations. The Echinococcus cytochrome c oxidase 1 (cox1) gene was amplified using PCR assay, and the sequence of the amplified product was aligned to that was recorded in the GenBank to characterize the parasite species. In addition, a phylogenetic tree of Echinococcus was generated based on the cox1 gene sequence using the neighbor-joining method. Results A total of 236 small rodents were captured in Shanglaxiu and Longbao townships, Yushu City, including 65 Qinghai voles and 51 plateau pikas in Shanglaxiu Township, and 62 Qinghai voles and 58 plateau pikas in Longbao Township, and there was no significant difference in the constituent ratio of small rodents between the two townships (χ² = 0.294, P > 0.05). Seven plateau pikas and 12 Qinghai voles were suspected to be infected with Echinococcus by dissection, and pathological examinations showed unclear structure of hepatic lobules and disordered hepatocyte arrangement in livers of small rodents suspected of Echinococcus infections. PCR assay identified E. shiquicus DNA in 7 Qinghai voles, which were all captured from Shanglaxiu Township. Phylogenetic analysis showed that the cox1 gene sequence of Echinococcus in small rodents was highly homologous to the E. shiquicus cox1 gene sequence reported previously. Conclusion Plateau pika and Qinghai vole were predominant small rodents around human residential areas in Yushu City, Qinghai Province in 2023, and E. shiquicus infection was detected in Qinghai voles.

Objective     To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods     The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results     A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1 389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7 163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion     The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.

Objectives:To evaluate and predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery preferably,we developed a new prediction model using machine learning. Methods:Clinical data including baseline characteristics,peri-operative data and primary endpoint of 7 163 elderly patients aged 65 years or older undergoing cardiac valvular surgery from January 2016 to December 2018 from 87 hospitals were collected from the Chinese Cardiac Surgery Registry(CCSR).Patients from January 2016 to June 2018 were assigened to the training cohort(n=5 774)and patients from July to December 2018 were assigened to the validation cohort(n=1 389).The primary endpoint was in-hospital mortality.Machine learning algorithms were used to analyze risk factors and develop prediction model. Results:Overall in-hospital mortality was 4.1%.Linear discriminant analysis(LDA),support vector classification(SVC)and logistic regression(LR)models in the training cohort all have high AUCs and low Brier scores,with good discrimination and calibration.In validation cohort,the AUC of LDA,SVC and LR were 0.744,0.744 and 0.746 respectively,which were significantly better than that of 0.642 using the European System for Cardiac Operative Risk Evaluation II(EuroSCORE II)model(P<0.05). Conclusions:The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high.LDA,SVC and LR can predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery with high accuracy.

A patient with osteomyelitis who developed a rash after previous treatment with vancomycin was admitted to the hospital due to a recurrence of osteomyelitis.After admission,the orthopedic doctor intended to perform a"calcium sulfate vancomycin implantation surgery"on him.Clinical pharmacist identified the patient's previous rash reaction as red man syndrome(RMS)rather than genuine drug allergy.At the same time,in response to the clinical doubt of whether patients with previous RMS can undergo"calcium sulfate vancomycin implantation surgery",clinical pharmacists reviewed and analyzed the literature,and suggested that the surgery can continue under close monitoring.The patient did not experience RMS or allergic reactions after surgery,and the condition improved.In this paper,the clinical pharmacists started with the identification of RMS and rapid allergic reactions,reviewed the literature on the local use of vancomycin and the risk of RMS,and provide suggestions for subsequent treatment,and also provide references for clinical safe drug use and treatment of similar diseases.

Objective:To analyze the relevant factors of knee joint cartilage injury in patients with anterior cruciate ligament rupture and construct a nomogram prediction model.Methods:The clinical data of 160 patients with unilateral anterior cruciate ligament rupture who underwent surgical treatment from March 2020 to February 2023 at Tianjin 272 Hospital and the Ninety-Eighty-Third Hospital of the People′s Liberation Army Joint Logistics Support Force were retrospectively analyzed. The patients were divided into injured group (97 cases) and non injured group (63 cases) based on whether there was concurrent knee joint cartilage injury. The optimal cutoff values of each factor were analyzed by the receiver operating characteristic (ROC) curve. Using a multiple Logistic regression model to analyze the independent risk factors of knee joint cartilage injury in patients with anterior cruciate ligament rupture; construct a nomogram model for predicting knee joint cartilage injury in patients with anterior cruciate ligament rupture. The internal validation of the nomogram model was validated using calibration curves, and the predictive performance of the nomogram model is evaluated using decision curves.Results:The body mass index (BMI), rate of meniscus injury, number of sprains and injury time in injured group were significantly higher than those in non injured group: (24.15 ± 2.52) kg/m 2 vs. (22.84 ± 3.13) kg/m 2, 77.32% (75/97) vs. 17.46% (11/63), (2.64 ± 0.90) times vs. (1.17 ± 0.64) times, (19.15 ± 3.77) d vs. (12.92 ± 3.14) d, and there were statistical differences ( P<0.05). The ROC curve analysis results show that the optimal cutoff values for BMI, number of sprains and injury time were 22.9 kg/m 2, once and 16 d, respectively. BMI (>22.9 kg/m 2), meniscus injury (with), number of sprains (>1 time) and injury time (>16 d) were independent risk factors for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and they were also predictive factors for building nomogram model. The internal validation results show that the nomogram model predicts a C-index of 0.819 (95% CI 0.715 to 0.883) for patients with anterior cruciate ligament rupture complicated by knee cartilage injury. The consistency between the observed values and the predicted values was good. The nomogram model predicts a threshold of over 0.14 for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and the clinical net benefits provided by the column chart model were higher than BMI, meniscus injury, number of sprains and injury time. Conclusions:This study constructs a nomogram model based on BMI, meniscus injury, number of sprains, and injury time to predict knee joint cartilage injury in patients with anterior cruciate ligament rupture. The model has good predictive value for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and can be used to identify high-risk patients who are prone to knee joint cartilage injury in patients with anterior cruciate ligament rupture.

Objective:To analyze the clinical features, prognosis and risk factors of SARS-CoV-2 associated acute pancreatitis (SAAP), and provide a basis for early prevention and treatment of SAAP.Methods:Patients with coronavirus disease 19 infection (COVID-19) admitted to Zhejiang Provincial People's Hospital from December 1, 2022 to January 31, 2023 were retrospectively analyzed. Clinical characteristics such as age, gender and other data were recorded, and the indexes of blood routine, liver and kidney function, inflammatory factor, coagulation function, blood gas analysis, immunoglobulin and complement were collected after admission. Patients were divided into pancreatic injury group and non-pancreatic injury group according to the level of serum amylase/lipase. The difference of prognosis and related hematological parameters between the two groups was compared. Multifactorial logistic regression equation was constructed to analyze the risk factors of SAAP.Results:A total of 2 101 patients with COVID-19 who met the criteria were included, including 298 patients in the pancreatic injury group and 1 803 patients in the non-pancreatic injury group. 17 cases (5.7%) in the pancreatic injury group met the diagnostic criteria for AP. The age, male percentage and mortality rate of the pancreatic injury group were all significantly higher than those of the non-pancreatic injury group (all P<0.05). In the pancreatic injury group, white blood cell count, neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), calcitoninogen, erythrocyte sedimentation rate, inflammatory cytokines, tumour necrosis factor, liver and kidney functions, coagulation (D-dimer and plasma fibrinogen degradation products), and lactate level were significantly higher than those in the non-pancreatic injury group (all P<0.05). Serum complement C3, albumin, albumin globule ratio and arterial oxygenation index were lower in the pancreatic injury group (all P<0.05). Multifactorial logistic regression analysis showed that gender, age, CRP, calcitoninogen, total bilirubin, creatinine, PaO 2, PaO 2/FiO 2 and lactate were independent risk factors for the occurrence of pancreatic injury in patients with COVID-19 (all P<0.05). Conclusions:Inflammation-related markers, D-dimer and fibrinogen degradation products were significantly higher in COVID-19 patients comorbid with pancreatic injury than in the patients without pancreatic injury. The risk of SAAP was significantly higher in male patients of senior age. Sex, age, CRP, calcitoninogen, total bilirubin, creatinine, oxygenation index, and lactic acid were independent risk factors for the onset of pancreatic injury in COVID-19 patients.

Postoperative pulmonary complications and anastomotic leakage are unfavorable prognostic factors in patients with esophageal carcinoma.However,the prognostic importance of pulmonary complications and anastomotic leakage after neoadjuvant treatment in these patients remains unclear.This study aimed to determine the effect of postoperative pulmonary complications and anastomotic leakage on long-term survival after neoadjuvant therapy for esophageal cancer.Our study were recruited 441 consecutive patients who had curative resection following neoadjuvant treatment for esophageal cancer in our institution from 2011-2021.The clinicopathological characteristics and prognosis of these patients were studied in terms of postoperative pulmonary complications and anastomotic leaking.Survival was analyzed using the log-rank test and multivariable Cox regression analysis.Postoperative pulmonary complications and anastomotic leakage were present in 23.8％(n=105)and 5.2％(n=23)of esophageal cancer after neoadjuvant therapy,respectively.In the univariate analyses,pulmonary complications were associated with shorter disease-free survival,while anastomotic leakage was associated with shorter overall survival.Multivariable analysis revealed that pulmonary complications after neoadjuvant therapy were independent adverse prognostic factors for disease-free survival.Taken together,postoperative pulmonary complications and anastomotic leakage ware significantly negatively correlated with disease-free and overall survival,respectively.And the postoperative pulmonary complication is an independent poor prognostic factor of disease-free survival for esophageal cancer following neoadjuvant treatment.

Objective Analyze the risk factors associated with severe subarachnoid hemorrhage(SAH)and rebleeding in small intracranial aneurysms.Methods From July 2014 to January 2020,patients with SAH caused by small ruptured intracranial aneurysms admitted to the Neurosurgery Department of the First Affiliated Hospital,Chongqing Medical University were retrospectively and continuously included.Small intracranial aneurysms refer to intracranial aneurysms with a maximum diameter of less than 5 mm.Baseline data and clinical data of patients were collected,including age,gender,past history(hypertension,diabetes,coronary heart disease),smoking history,drinking history,admission Glasgow coma scale(GCS)score and Hunt-Hess grade.Patient imaging data were collected to clarify the characteristics of aneurysms,including the number of aneurysms(single or multiple),the shape of SAH responsible aneurysms(irregular aneurysms with subcapsular,polycystic,or lobulated aneurysms),and their location(anterior communicating artery,posterior communicating artery,middle cerebral artery,anterior cerebral artery,internal carotid artery,and posterior circulation).Based on the CT images of the head at admission,the distribution of SAH in patients was determined.The modified Fisher grading system was used to classify SAH into 1-4 levels,and the Hijdra score was used to assess the bleeding volume of SAH in patients.The treatment methods of patients(interventional embolization,clipping)were collected.All patients were grouped according to the modified Fisher classification,with grades 1-2 being the minor SAH group and grades 3-4 being the massive SAH group.Baseline data and clinical data and aneurysm characteristics were compared between minor SAH group and massive SAH group.Multiple Logistic regression analysis was conducted using the modified Fisher grades 3-4 as the dependent variable,and factors with P＜0.1 in baseline data that may affect SAH bleeding volume as independent variables,the risk factors associated with the massive SAH in small ruptured intracranial aneurysms were analyzed.New bleeding visible on preoperative CT of the patient,with or without neurological deterioration,is defined as rebleeding.All patients are divided into rebleeding group and non-rebleeding group based on the occurrence of rebleeding.Baseline data and aneurysm characteristics between patients with rebleeding and those without rebleeding were compared.Multivariate Logistic regression analysis was conducted with rebleeding as the dependent variable,and factors with P＜0.1 in baseline data and aneurysm characteristics were used as independent variables,the risk factors associated with rebleeding in small aneurysms were analyzed.Results A total of 363 SAH patients with small ruptured aneurysms were included in this study,including 103 males and 260 females;age range from 25 to 85 years old,with an average age of(55±11)years.According to the modified Fisher classification,there were 198 cases in the massive SAH group and 165 cases in the minor SAH group.Compared with patients in the minor SAH group,patients in the massive SAH group were older(P=0.011),with a higher proportion of males,concomitant hypertension,and smoking history(all P＜0.05).The proportion of admitted Hunt Hess grade Ⅳ to V was higher(26.3％vs.2.4％,P＜0.01),the GCS score was lower([13.1±1.8]points vs.[13.9±0.8]points,P＜0.01),and the Hijdra score was higher([19.7±5.4]points vs.[8.4±2.6]points,P＜0.01).There was no statistically significant difference in the number of aneurysms and the location and morphology of responsible aneurysms between the massive and minor SAH groups(all P＞0.05).According to whether patients experienced rebleeding before surgery,there were 30 cases in the rebleeding group and 333 cases in the non-rebleeding group.Compared with the non-rebleeding group,patients in the rebleeding group had a higher proportion of concomitant hypertension(83.3％vs.49.2％,P＜0.01)and a higher proportion of admitted Hunt Hess grades Ⅳ-V(43.3％vs.12.9％,P＜0.01),lower GCS scores(12[9,14]points vs.14[13,14]points,P＜0.01),and higher Hijdra scores(18[9,26]points vs.14[9,18]points,P=0.024).There was no statistically significant difference in the number of aneurysms,responsible aneurysm morphology,and location between the rebleeding group and the non-rebleeding group(all P＞0.05).There was no statistically significant difference between the coiling and clipping in the two group(both P＞0.05).Multiple Logistic regression analysis was conducted using modified Fisher grading 3-4 and rebleeding as dependent variables respectively.The results showed that age(OR,1.027,95％CI 1.006-1.049,P=0.012)and hypertension(OR,1.858,95％CI 1.196-2.886,P=0.006)were independent risk factors associated with massive SAH in small ruptured aneurysms.Hypertension(OR,3.775,95％CI 1.371-10.391,P=0.010)and lower GCS score(OR,0.677,95％CI 0.561-0.816,P＜0.01)were independent risk factors associated with rebleeding in small ruptured aneurysms.Conclusions Older age and concomitant hypertension are risk factors associated with massive SAH in patients with small ruptured aneurysms.Coexisting hypertension and lower GCS score are risk factors associated with rebleeding in patients with small ruptured aneurysms.

In order to meet the accuracy requirements of hospitals for abnormal detection of fetal monitor data,a hospital fetal monitor data anomaly detection method based on Euclidean distance was proposed.In this method,according to the abnormal detection method of fetal monitor data in hospitals,the ultrasound Doppler detector was used to collect fetal heart rate signal data,and the fetal heart rate signal denoising method based on adaptive filtering was used to remove the noise components of the collected fetal heart rate signal.The denoised fetal heart rate signal was used as the identification sample of the abnormal fetal heart rate signal identification method based on Euclidean distance method.The Euclidean distance Euclidean distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was analyzed by combining the Euclidean distance method and the strong classifier to analyze whether the virtual sinusoidal distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was greater than the tuned Euclidean distance threshold.Fetal heart rate signal samples greater than the threshold were classified and diagnosed as abnormal monitoring data.The fetal heart rate information collected by the fetal monitor in the hospital was accurate,and the abnormal detection results were valid and reliable.