This paper systematically reviews the core concepts and lines of theoretical inheritance of major spleen-stomach theories in traditional Chinese medicine （TCM）， including spleen deficiency theory， spleen-stomach damp-heat theory， and liver-spleen disharmony theory. It is found that these theories have all undergone a developmental trajectory characterized by classical foundation， refinement of therapeutic methods， systematization of pathogenesis， and modern innovation. The evolution of spleen-stomach theory has achieved a shift from a singular focus on tonifying the spleen to regulating dynamic middle-jiao （焦） balance， and from localized spleen-stomach regulation to the circular movement of qi involving all five zang organs. In terms of modern disease-syndrome integrative research， spleen deficiency syndrome is shown to be closely associated with impairment of the gastrointestinal mucosal barrier， metabolic disorders， and gene polymorphisms related to Helicobacter pylori-associated gastric diseases. Spleen-stomach damp-heat syndrome is closely linked to hyperactive energy metabolism， inflammatory cytokines， and abnormal expression of aquaporins. Liver-spleen disharmony syndrome is mainly associated with dysregulation of the brain-gut axis and microbiota-related metabolic disorders. It is proposed that future research on spleen-stomach diseases and syndromes should further elucidate their potential multidimensional differential biological characteristics， thereby promoting the modernization of the TCM discipline of spleen-stomach studies.

Objective: To explore the interrelationships between mental vulnerability, cognitive emotion regulation strategies, and positive psychological capital in medical postgraduates, so as to provide precise intervention targets for mental health services in universities. Methods: From April to June 2025, a convenience sampling method was used to select 1 461 medical postgraduates from three colleges in Hubei Province. Participants were assessed using the Mental Vulnerability Questionnaire (MVQ), the Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C) and the Positive Psychological Capital Questionnaire (PPQ). The network analysis model was constructed using a Gaussian graphical model. Results: The network analysis revealed that the edge connection between somatic symptoms and mental symptoms was the strongest, followed by the connection between refocus on planning and positive reappraisal within cognitive emotion regulation, with edge weights of 0.69 and 0.59, respectively. Interpersonal problems within psychological vulnerability exhibited the highest expected influence( EI =1.27), serving as the core node of the network. Rumination within cognitive emotion regulation demonstrated the highest bridge expected influence( BEI =0.33), playing a critical connecting role among psychological vulnerability, cognitive emotion regulation, and positive psychological capital. Conclusion In the mental health network of medical postgraduates, mental vulnerability, cognitive emotion regulation, and positive psychological capital interact through their respective key dimensions, jointly affect overall mental health.

Objective: To analyze the factors associated with high level fear of negative evaluation (FNE) among junior high school students and to construct a nomogram risk prediction model, so as to provide scientific tools for psychological health intervention for junior high school students. Methods: A convenience sampling combined with cluster random sampling method was used to select 5 485 junior high school students from 4 cities (Wuhan, Huanggang, Xianning and Xiaogan) for an online questionnaire survey in March 2025. The total sample was randomly split into a training set ( n =3 839) and a validation set ( n =1 646). Univariate analysis was performed in the training set using Chi-square test and t-test. Variables with statistical significance were subsequently included in multivariate Logistic regression to identify independent predictors and to construct a nomogram based risk prediction model. The discriminative ability and clinical utility of the model were evaluated in the validation set using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA). Results: There were 1 649 junior high school students with low level FNE and 2 190 with high level FNE in the training set. The self control ability of junior high school students with lowlevel and high level FNE showed a statistically significant difference (23.96±3.96, 21.48±3.37, t=25.15, P < 0.01 ). Statistically significant differences in the detection rate of high level FNE were observed among junior high school students with different genders, family types, parenting styles, academic rankings, psychological flexibility, mobile phone addiction tendencies, emotional management training, exercise frequency, left behind experiences, and places of origin ( χ 2=82.01- 1 126.68 , all P <0.01). The results of Logistic regression analysis revealed that, the following factors were identified as significant factors influencing high level FNE among junior high school students:exercise frequency ( OR=0.21, 95%CI =0.17-0.26); parenting style ( OR=0.48, 95%CI =0.40-0.58); left behind experience ( OR=3.88, 95%CI =3.27-4.61); smartphone addiction proneness ( OR=2.19, 95%CI =0.89-0.93); self-control ability ( OR=0.91, 95%CI =0.89-0.93); and psychological flexibility ( OR=0.16, 95%CI =0.10-0.28) (all P <0.05). The AUC for the training and validation set were 0.88 (95% CI =0.87-0.89) and 0.87 (95% CI =0.85-0.89), respectively. The Hosmer-Lemeshow goodness of fit test yielded χ 2=8.57, 15.20 (both P >0.05). Conclusion The risk prediction model with high level FNE demonstrates good accuracy and can assist educators and parents in timely screening of junior high school students with high level FNE, thereby providing a basis for implementing targeted interventions.

Objective:To explore the effectiveness of family-based interventions for adolescent suicide pre-vention using meta-analytic methods.Methods:A meta-analysis was conducted by searching CNKI,VIP,Wanfang,Web of Science,PubMed,APA PsycInfo and The Cochrane Library for randomized controlled trials of family-based interventions for adolescent suicide prevention.Results:A total of 15 RCTs involving 2541 cases were conclu-ded.The results of meta-analysis showed that family-based therapy was effective in preventing adolescent suicide(95％CI:-0.76--0.09,P＜0.05),with a medium effect size for the intervention(g=-0.42),in which there was a significant effect on reducing suicidal ideation(SMD=-0.77,95％CI:-1.31--0.23,P＜0.05),and the effect on reducing suicide attempts was not significant(OR=0.87,95％CI:0.68-1.11,P＞0.05).Family-based therapies were most effective in adolescent suicide prevention when the duration of the intervention was 12 weeks or more,when they were based on attachment-based family therapy(ABFT)or resource support and safety plans,and when they had a reasonably high dropout rate(Ps＜0.05).Conclusion:Family-based therapy has significant inter-vention effects on adolescent suicide prevention,and intervention effects on suicidal ideation are superior to those on suicide attempts.

Primers and probes were designed based on the conserved regions of Senecavirus A(SVA),foot-and-mouth disease virus(FMDV),and porcine teschovirus(PTV)and used to devel-op a TaqMan fluorescent quantitative PCR method for detecting the above-mentioned three viru-ses.The triplex fluorescent quantitative PCR system was developed using recombinant positive plasmids containing conserved sequences of the three viruses as templates.After optimizing the conditions,the specificity,sensitivity,repeatability,standard curve,and mixed infection model were evaluated,and the constructed triplex fluorescent quantitative PCR was used for clinical detection.The results showed that this method could specifically detect SVA,FMDV and PTV without cross-reactivity with other pathogens with the minimal detection concentrations for SVA,FMDV,and PTV as low as 1X101 copies/μL,respectively.The coefficients of variation within and between groups were less than 5％.Furthermore,none of the three viruses were detected in 126 samples.The above results indicate that this method is highly specific,sensitive,and stable,making it suit-able for clinical detection.

Objective To explore the impact of irregular shape of head CT hematomas on postoperative re-bleeding and prognosis of patients with spontaneous intracerebral hemorrhage(ICH)who undergo craniotomy for hematoma evacuation.Methods We retrospectively enrolled consecutive patients with ICH who underwent craniotomy for hematoma evacuation in the Department of Neurosurgery of the Second People's Hospital of Guiyang Affiliated to Guizhou Medical University from January 2019 to June 2024.Baseline and clinical data were collected form the patients,including age,gender,smoking history,drinking history,hypertension,diabetes,history of anticoagulant use,admission systolic and diastolic blood pressure,admission National Institutes of Health stroke scale(NIHSS)score,Glasgow coma scale(GCS)score,time from onset to the first head CT,neutrophil-to-lymphocyte ratio(NLR),and platelet-to-lymphocyte ratio(PLR).Admission head CT scans were used to assess hematoma shape(regular or irregular),hematoma location(basal ganglia,lobar,multifocal),hematoma volume,perihematomal edema volume,the presence of midline shift,and intraventricular extension.Volume of the hematoma was assessed 2 days after surgery.Postoperative re-bleeding is defined as an increase in the volume of the hematoma by 12.5 ml compared to the previous postoperative CT scan within 2 weeks after surgery,or the reappearance of high-density areas in the focal area of the head CT scan during follow-up after complete hematoma clearance.Conduct patients follow-ups via telephone at 6 months postoperatively to assess their modified Rankin scale(mRS)scores.The sliding dichotomy method was applied to define prognosis based on the patients' baseline characteristics and disease severity.The prognostic score was calculated using formula:10 × admission GCS score-age-0.64 × admission hematoma volume.A prognostic score＞27.672 was considered potentially favorable,while a score ≤ 27.672 was considered potentially unfavorable.For patients with a potentially favorable prognosis,an mRS score of 0-2 was defined as a good outcome,and a score of 3-6 as a poor outcome.For those with a potentially unfavorable prognosis,an mRS score of 0-3 was defined as a good outcome,and a score of 4-6 as a poor outcome.In the comparison of baseline and clinical data between patients with regular and irregular hematoma shapes,factors with P＜0.05 were included in propensity score matching(PSM)to adjust for confounding variables.A 1∶1 matching was performed using the nearest neighbor method with a caliper value set to 0.25.Variables with statistically significant differences between groups after PSM matching were included in the multivariate Logistic regression analysis to identify influencing factors for postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy hematoma evacuation.The predictive value of irregular hematoma shape for postoperative rebleeding and poor prognosis in ICH patients was analyzed using receiver operating characteristic(ROC)curve analysis.Results(1)A total of 440 ICH patients were enrolled,including 342 males and 98 females,aged from 20 to 84 years with a mean age of(56±12)years.Statistically significant differences were observed in baseline and clinical data between patients with regular and irregular hematoma shapes before PSM,including age,admission GCS score,NIHSS score,NLR,proportion of patients with hematoma rupture into ventricles,preoperative hematoma volume,proportion of patients with midline shift,preoperative volume of hematoma surrounding edema,proportion of patients with hematoma located in multiple sites,and postoperative 2-day hematoma volume(all P＜0.05).After propensity score matching of these factors,298 ICH patients were included in the statistical analysis,comprising 228 males and 70 females,with an age range of 20 to 84 years and a mean age of(57±12)years.Following PSM,no statistically significant differences were observed in the baseline and clinical characteristics between patients with irregular and regular hematoma shapes(all P＞0.05).(2)After propensity score matching,28 patients experienced postoperative re-bleeding while 270 did not.Significant differences were observed between the two groups in the following factors:proportion of patients with a history of anticoagulant use,admission PLR,NLR,irregular hematoma shape,and hematoma volume at 2 days after operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using postoperative re-bleeding as the dependent variable and incorporating factors with P＜0.05 from the univariate analysis as independent variables,multivariate Logistic regression analysis identified irregular hematoma shape(OR,2.821,95％CI 1.142-6.968,P=0.025)and larger hematoma volume at 2 days post-operation(OR,1.062,95％CI 1.026-1.099,P＜0.01)as independent risk factors for re-bleeding following intracranial hematoma evacuation in ICH patients.ROC curve analysis demonstrated that irregular hematoma shape predicted postoperative re-bleeding with an area under the curve(AUC)of 0.62,showing a sensitivity of 71.4％and a specificity of 52.2％.(3)After propensity score matching,174 patients had poor prognosis while 124 had good prognosis.Significant intergroup differences were observed in age,admission GCS score,NIHSS score,irregular hematoma shape,proportion of patients with hematomas located in the basal ganglia and cerebral lobes,and hematoma volume at 2 days post-operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using poor prognosis as the dependent variable and incorporating factors with P＜0.05 from univariate analysis as independent variables,multivariate Logistic regression analysis revealed that advanced age(OR,1.039,95％CI 1.015-1.064,P=0.002),high admission NIHSS score(OR,1.068,95％CI 1.025-1.113,P=0.002),irregular hematoma shape(OR,2.675,95％CI 1.582-4.524,P＜0.01),and larger hematoma volume at 2 days post-operation(OR,1.033,95％CI 1.002-1.064,P=0.038)were independent risk factors for poor prognosis.Conversely,lobar hematoma location(OR,0.192,95％CI 0.073-0.504,P＜0.01)was identified as a protective factor.ROC curve analysis showed that irregular hematoma shape predicted poor prognosis after intracranial hematoma evacuation with an AUC of 0.61,demonstrating a sensitivity of 59.2％and specificity of 62.9％.Conclusion Irregular hematoma shape on head CT is an independent risk factor for both postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy for hematoma evacuation.

Objective·To investigate the mechanisms by which different subtypes of G protein-coupled receptor kinases(GRKs)regulate the biased signaling transduction mediated by the muscarinic acetylcholine receptor 1(M1 receptor),focusing on their molecular effects in modulating the binding of the M1 receptor to the downstream heterotrimeric G protein(Gαq-Gβ1-Gγ2)andβ-arrestin 2(βarr2).Methods·By establishing a highly sensitive protein interaction detection system based on bioluminescence resonance energy transfer(BRET),six M1 receptor agonists/allosteric modulators were selected to measure the dynamic interactions between the M1 receptor and four GRK subtypes(GRK2/3/5/6),βarr2,and the G protein under stimulation.All BRET data were statistically quantified using the area under the curve(AUC)of the time-response curves.First,concentration-effect curves were established by treatment with gradient concentrations of agonists/allosteric modulators and AUC fitting,to comprehensively analyze the differences in efficacy between each agonist/allosteric modulator and the endogenous agonist acetylcholine chloride(ACh)in promoting the interactions of M1 receptor with GRK3/5,βarr2,and the G protein;next,GRKs were divided into two groups based on subtypes:GRK2/3 and GRK5/6.The maximum AUC values for the interaction between the M1 receptor and the two GRK groups under high concentrations were calculated respectively,to further evaluate the regulatory propensity of different types of GRKs on the binding strength of the M1 receptor to βarr2 or the G protein.Results·All six agonists/allosteric modulators effectively induced the association of the M1 receptor with GRK3,while simultaneousey inducing dissociation of the M1 receptor from GRK5.The allosteric modulator BQCA not only activated the M1 receptor alone and triggered its binding to downstream signaling proteins,but also,when co-treated with ACh,caused a significant leftward shift of the concentration-effect curves in the M1-G protein and M1-βarr2 systems,suggesting that its potentiation effect on ACh was mainly achieved by reducing the half-maximal effective concentration.A moderate positive correlation was observed between the maximum AUC values of M1-βarr2 and M1-G protein interactions induced by the seven groups of drug treatments(r=0.722,P=0.067).Further analysis showed that the ratio of the maximum AUC for M1-GRK2/3 interaction to that for M1-GRK5/6 interaction was also positively correlated with the ratio of the maximum AUC for M1-βarr2 interaction to that for M1-G protein interaction(r=0.760,P=0.047).Conclusion·The M1 receptor may be pre-coupled with GRK5/6 under basal conditions,and they dissociate upon receptor activation,suggesting that GRK5/6 may be involved in M1 receptor inactivation or signal reprogramming.The relative efficiency of the M1 receptor's interaction with different GRK subtypes determines its preference for downstream signaling pathways.

Objective·To investigate the mechanisms by which different subtypes of G protein-coupled receptor kinases(GRKs)regulate the biased signaling transduction mediated by the muscarinic acetylcholine receptor 1(M1 receptor),focusing on their molecular effects in modulating the binding of the M1 receptor to the downstream heterotrimeric G protein(Gαq-Gβ1-Gγ2)andβ-arrestin 2(βarr2).Methods·By establishing a highly sensitive protein interaction detection system based on bioluminescence resonance energy transfer(BRET),six M1 receptor agonists/allosteric modulators were selected to measure the dynamic interactions between the M1 receptor and four GRK subtypes(GRK2/3/5/6),βarr2,and the G protein under stimulation.All BRET data were statistically quantified using the area under the curve(AUC)of the time-response curves.First,concentration-effect curves were established by treatment with gradient concentrations of agonists/allosteric modulators and AUC fitting,to comprehensively analyze the differences in efficacy between each agonist/allosteric modulator and the endogenous agonist acetylcholine chloride(ACh)in promoting the interactions of M1 receptor with GRK3/5,βarr2,and the G protein;next,GRKs were divided into two groups based on subtypes:GRK2/3 and GRK5/6.The maximum AUC values for the interaction between the M1 receptor and the two GRK groups under high concentrations were calculated respectively,to further evaluate the regulatory propensity of different types of GRKs on the binding strength of the M1 receptor to βarr2 or the G protein.Results·All six agonists/allosteric modulators effectively induced the association of the M1 receptor with GRK3,while simultaneousey inducing dissociation of the M1 receptor from GRK5.The allosteric modulator BQCA not only activated the M1 receptor alone and triggered its binding to downstream signaling proteins,but also,when co-treated with ACh,caused a significant leftward shift of the concentration-effect curves in the M1-G protein and M1-βarr2 systems,suggesting that its potentiation effect on ACh was mainly achieved by reducing the half-maximal effective concentration.A moderate positive correlation was observed between the maximum AUC values of M1-βarr2 and M1-G protein interactions induced by the seven groups of drug treatments(r=0.722,P=0.067).Further analysis showed that the ratio of the maximum AUC for M1-GRK2/3 interaction to that for M1-GRK5/6 interaction was also positively correlated with the ratio of the maximum AUC for M1-βarr2 interaction to that for M1-G protein interaction(r=0.760,P=0.047).Conclusion·The M1 receptor may be pre-coupled with GRK5/6 under basal conditions,and they dissociate upon receptor activation,suggesting that GRK5/6 may be involved in M1 receptor inactivation or signal reprogramming.The relative efficiency of the M1 receptor's interaction with different GRK subtypes determines its preference for downstream signaling pathways.

Objective:To explore the medication adherence of elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City and analyze its influencing factors.Methods:From April to July 2023, convenience sampling was used to select rural 240 elderly patients with chronic diseases and polypharmacy in five administrative districts (counties) of Hangzhou as participants. The survey was conducted using the General Information Questionnaire, Social Support Rating Scale, Medication Knowledge and Beliefs Questionnaire, and the Chinese version of the 8-item Morisky Medication Adherence Scale. Multiple linear regression was used to analyze the factors influencing medication adherence in elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City.Results:A total of 240 questionnaires were distributed and 220 valid questionnaires were collected, with an effective response rate of 91.67%. Among 220 elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City, 135 had poor medication adherence. Multiple linear regression analysis showed that age, educational level, family doctor contract, medication knowledge, and beliefs were the influencing factors of medication adherence in elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City ( P<0.05) . Conclusions:The medication adherence of elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou urgently needs to be improved. Medical and nursing staff should pay special attention to patients who are old, have a low level of education, have not signed a family doctor, and have poor knowledge and beliefs about medication. It is suggested that the contract system for family doctors be further promoted, focusing on health education on medication knowledge and beliefs, to improve medication adherence among elderly chronic disease patients in rural areas.

Objective To explore the impact of irregular shape of head CT hematomas on postoperative re-bleeding and prognosis of patients with spontaneous intracerebral hemorrhage(ICH)who undergo craniotomy for hematoma evacuation.Methods We retrospectively enrolled consecutive patients with ICH who underwent craniotomy for hematoma evacuation in the Department of Neurosurgery of the Second People's Hospital of Guiyang Affiliated to Guizhou Medical University from January 2019 to June 2024.Baseline and clinical data were collected form the patients,including age,gender,smoking history,drinking history,hypertension,diabetes,history of anticoagulant use,admission systolic and diastolic blood pressure,admission National Institutes of Health stroke scale(NIHSS)score,Glasgow coma scale(GCS)score,time from onset to the first head CT,neutrophil-to-lymphocyte ratio(NLR),and platelet-to-lymphocyte ratio(PLR).Admission head CT scans were used to assess hematoma shape(regular or irregular),hematoma location(basal ganglia,lobar,multifocal),hematoma volume,perihematomal edema volume,the presence of midline shift,and intraventricular extension.Volume of the hematoma was assessed 2 days after surgery.Postoperative re-bleeding is defined as an increase in the volume of the hematoma by 12.5 ml compared to the previous postoperative CT scan within 2 weeks after surgery,or the reappearance of high-density areas in the focal area of the head CT scan during follow-up after complete hematoma clearance.Conduct patients follow-ups via telephone at 6 months postoperatively to assess their modified Rankin scale(mRS)scores.The sliding dichotomy method was applied to define prognosis based on the patients' baseline characteristics and disease severity.The prognostic score was calculated using formula:10 × admission GCS score-age-0.64 × admission hematoma volume.A prognostic score＞27.672 was considered potentially favorable,while a score ≤ 27.672 was considered potentially unfavorable.For patients with a potentially favorable prognosis,an mRS score of 0-2 was defined as a good outcome,and a score of 3-6 as a poor outcome.For those with a potentially unfavorable prognosis,an mRS score of 0-3 was defined as a good outcome,and a score of 4-6 as a poor outcome.In the comparison of baseline and clinical data between patients with regular and irregular hematoma shapes,factors with P＜0.05 were included in propensity score matching(PSM)to adjust for confounding variables.A 1∶1 matching was performed using the nearest neighbor method with a caliper value set to 0.25.Variables with statistically significant differences between groups after PSM matching were included in the multivariate Logistic regression analysis to identify influencing factors for postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy hematoma evacuation.The predictive value of irregular hematoma shape for postoperative rebleeding and poor prognosis in ICH patients was analyzed using receiver operating characteristic(ROC)curve analysis.Results(1)A total of 440 ICH patients were enrolled,including 342 males and 98 females,aged from 20 to 84 years with a mean age of(56±12)years.Statistically significant differences were observed in baseline and clinical data between patients with regular and irregular hematoma shapes before PSM,including age,admission GCS score,NIHSS score,NLR,proportion of patients with hematoma rupture into ventricles,preoperative hematoma volume,proportion of patients with midline shift,preoperative volume of hematoma surrounding edema,proportion of patients with hematoma located in multiple sites,and postoperative 2-day hematoma volume(all P＜0.05).After propensity score matching of these factors,298 ICH patients were included in the statistical analysis,comprising 228 males and 70 females,with an age range of 20 to 84 years and a mean age of(57±12)years.Following PSM,no statistically significant differences were observed in the baseline and clinical characteristics between patients with irregular and regular hematoma shapes(all P＞0.05).(2)After propensity score matching,28 patients experienced postoperative re-bleeding while 270 did not.Significant differences were observed between the two groups in the following factors:proportion of patients with a history of anticoagulant use,admission PLR,NLR,irregular hematoma shape,and hematoma volume at 2 days after operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using postoperative re-bleeding as the dependent variable and incorporating factors with P＜0.05 from the univariate analysis as independent variables,multivariate Logistic regression analysis identified irregular hematoma shape(OR,2.821,95％CI 1.142-6.968,P=0.025)and larger hematoma volume at 2 days post-operation(OR,1.062,95％CI 1.026-1.099,P＜0.01)as independent risk factors for re-bleeding following intracranial hematoma evacuation in ICH patients.ROC curve analysis demonstrated that irregular hematoma shape predicted postoperative re-bleeding with an area under the curve(AUC)of 0.62,showing a sensitivity of 71.4％and a specificity of 52.2％.(3)After propensity score matching,174 patients had poor prognosis while 124 had good prognosis.Significant intergroup differences were observed in age,admission GCS score,NIHSS score,irregular hematoma shape,proportion of patients with hematomas located in the basal ganglia and cerebral lobes,and hematoma volume at 2 days post-operation(all P＜0.05).No statistically significant differences were found in the remaining baseline and clinical characteristics(all P＞0.05).Using poor prognosis as the dependent variable and incorporating factors with P＜0.05 from univariate analysis as independent variables,multivariate Logistic regression analysis revealed that advanced age(OR,1.039,95％CI 1.015-1.064,P=0.002),high admission NIHSS score(OR,1.068,95％CI 1.025-1.113,P=0.002),irregular hematoma shape(OR,2.675,95％CI 1.582-4.524,P＜0.01),and larger hematoma volume at 2 days post-operation(OR,1.033,95％CI 1.002-1.064,P=0.038)were independent risk factors for poor prognosis.Conversely,lobar hematoma location(OR,0.192,95％CI 0.073-0.504,P＜0.01)was identified as a protective factor.ROC curve analysis showed that irregular hematoma shape predicted poor prognosis after intracranial hematoma evacuation with an AUC of 0.61,demonstrating a sensitivity of 59.2％and specificity of 62.9％.Conclusion Irregular hematoma shape on head CT is an independent risk factor for both postoperative re-bleeding and poor prognosis in ICH patients undergoing craniotomy for hematoma evacuation.