OBJECTIVE To optimize the water extraction technology for Kaixin granules. METHODS UPLC-MS/MS method was established for the simultaneous determination of ginsenoside Rg1， ginsenoside Re， ginsenoside Rb1， tenuifolin， polygalaxanthone Ⅲ and 3， 6′-disinapoyl-sucrose. An orthogonal test was designed with extraction times， extraction duration， and the volume of added water as factors. Using the contents of the aforementioned six indicator components and the extract yield as evaluation indexes， analytic hierarchy process-entropy weight method was employed to determine the combined weights of each indicator. Subsequently， process optimization and validation were conducted by integrating grey relational analysis （GRA） and back propagation （BP） neural network. RESULTS The water extraction technology optimized by the orthogonal test and GRA was 10- fold water for the first decoction and 8-fold water for the subsequent two， extracting 3 times，extracting for 1 h each time； the average comprehensive score of the validation experiment was 91.10 （RSD＝0.31%， n＝3）. The water extraction technology optimized by BP neural network was extracting 3 times with 10-fold water added each time， extracting for 1.5 h each time； the average comprehensive score of the validation experiment was 95.89 （RSD＝0.73%， n＝3）. Considering practical production requirements， the optimal water extraction technology was extraction performed three times， with 10-fold water for the first decoction and 8-fold water for the subsequent two extractions， with an extraction time of 1 h each. CONCLUSIONS The optimized water extraction technology for Kaixin granules is stable and feasible.

OBJECTIVE: To compare the effectiveness and shoulder function of reverse total shoulder arthroplasty (RTSA) and open reduction and internal fixation (ORIF) in the treatment of Neer three/four-part proximal humeral fractures in the elderly. METHODS: Randomized controlled analysis was conducted on 68 patients over 70 years old with Neer three/four-part proximal humeral fractures treated with RTSA or ORIF between January 2020 and June 2022. The patients were randomly divided into RTSA group ( n=32) and ORIF group ( n=36). There was no significant difference ( P>0.05) in the baseline data such as age, gender, body mass index, injured side, Neer classification, and preoperative Charlson comorbidity index, visual analogue scale (VAS) score, Constant shoulder score, Oxford shoulder score (OSS), and hemoglobin (Hb). The operation time, intraoperative blood loss, reduction of Hb on the 3rd day after operation, hospital stay, total cost of hospitalization, complication incidence, range of motion of shoulder joint at 2 years after operation, VAS score before operation and at 5 days and 1 month after operation, Constant shoulder score and OSS score before operation and at 2 years after operation, and imaging results during follow-up were recorded and compared between the two groups. RESULTS: Compared with the ORIF group, the RTSA group had longer operation time, less intraoperative blood loss, and higher total cost of hospitalization ( P<0.05). There was no significant difference in Hb reduction on the 3rd day after operation between the two groups ( P>0.05). The VAS scores significantly improved in both groups at 5 days and 1 month after operation ( P<0.05), but there was no significant difference between the two groups ( P>0.05). All patients were followed up 26-35 months, with an average of 31.2 months. In the RTSA group, there were 2 cases of poor healing of superficial incision and 1 case of transient nerve injury. There was no complication such as bone resorption around the prosthesis, lucent band, prosthesis loosening, or periprosthetic fracture in all patients. In the ORIF group, there was 1 case of poor healing of superficial incision, 3 cases of nonunion of fracture, 1 case of arthritis secondary to humeral head necrosis, and 1 case of bone absorption of large tuberosity, and no displacement or fracture failure of internal fixation was found in all patients. There was no significant difference in the incidence of complications [9.4% (3/32) vs 16.7% (6/36)] between the two groups [ OR (95% CI): 0.828 (0.171, 4.014), P=0.814]. In the RTSA group, 28 cases were graded 0 and 4 cases were graded 1 at 2 years after operation. Constant and OSS scores of RTSA group were significantly better than those of ORIF group ( P<0.05). The Constant score was significantly better than ORIF group in activity and strength, range of motion, lifting, abduction, and external rotation ( P<0.05), and there was no significant difference in pain, daily function, and internal rotation between the two groups ( P>0.05). The RTSA group had a significantly greater range of motion in lifting, abduction, and external rotation than ORIF group ( P<0.05), but there was no significant difference in internal rotation between the two groups ( P>0.05). CONCLUSION Application of RTSA as the initial treatment of Neer three/four-part proximal humeral fractures in the elderly can achieve better rehabilitation of joint activity and lower risk of early reoperation, and improve the quality of life of elderly fracture patients. However, the difficulty of revision and the high cost of treatment require the surgeon to pay full attention and strictly grasp the indications.
Humans ; Fracture Fixation, Internal/instrumentation* ; Male ; Female ; Shoulder Fractures/surgery* ; Arthroplasty, Replacement, Shoulder/methods* ; Aged ; Bone Plates ; Open Fracture Reduction/methods* ; Range of Motion, Articular ; Treatment Outcome ; Shoulder Joint/physiopathology* ; Aged, 80 and over ; Operative Time ; Postoperative Complications/epidemiology* ; Length of Stay

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

The aim of this study was to qualitatively and quantitatively detect coronavirus(CoV)in the feces of bats from Qinghua Cave,Yunnan Province,China.CoV was qualitatively tested with reverse transcription polymerase chain reaction(RT-PCR),and homology and genetic evolution were analyzed with bioinformatics software.The established reverse transcription real-time fluores-cence quantitative PCR(qRT-PCR)method was applied to CoV quantification in bat feces.The positivity rate of CoV in 306 fecal samples collected from the fulvous fruit bat(Rousettus leschenaultia)was 7.8%(24/306)according to RT-PCR.All 24 strains of CoV belonged to β-CoV,and showed a similarity of 86.8%-100.0%at the nucleotide level and 95.2%-100.0%at the amino acid level,with respect to other β-CoV sequences in the NCBI database.The positivity rate of CoV was 18.6%(57/306)according to qRT-PCR,a value higher than that according to RT-PCR(χ2=25.3,P<0.05).The mean β-CoV load was 1.3×103 copies/μL.In conclusion,the bats in Qinghua Cave,Yunnan Province,carried CoV belonging to β-CoV.The established qRT-PCR method achieved good sensitiv-ity,accuracy,reproducibility,and a higher detection rate than that of RT-PCR,and can be used for rapid detection of β-CoV in bats.

AIM:The aim of our study is to investigate the metabolic profile differences during cervical lesion progression and evaluate their potential clinical value in assisting the diagnosis of cervical cancer(CC).METHODS:Ul-tra-high-performance liquid chromatography coupled with high-resolution mass spectrometry(UHPLC-HRMS)was em-ployed to conduct non-targeted metabolomic analysis of cervical swab samples from 43 CC patients,34 high-grade squa-mous intraepithelial lesion(HSIL)patients,and 43 healthy controls.Based on the distinct features among the three groups,principal component analysis(PCA)was used to identify the metabolic differences among CC,HSIL and healthy groups.MetaboAnalyst 5.0 was then employed to perform KEGG pathway enrichment analysis on the differential metabo-lites.Finally,random forest machine learning algorithm was used to construct classification prediction models for distin-guishing CC from healthy,HSIL from healthy,and CC from HSIL.The performance of these models was evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS:A total of 1 543 metabolites were identified across the healthy,HSIL and CC groups after filtration,with 407 metabolites differing between the groups.The study found that metabolite PGE2 was present in all three groups,with its expression levels progressively increasing with the progression of cervical lesions.Differential metabolite enrichment analysis demonstrated that CC is associated with specific cancer-relat-ed metabolic pathways,including the tricarboxylic acid cycle,tyrosine metabolism,tryptophan metabolism,and the pen-tose phosphate pathways.Additionally,the study developed three prediction models based on metabolic products for diag-nosing HSIL and CC:the full model,the simplified model,and the PGE2 model.The results indicated that metabolites ex-hibited strong diagnostic efficiency.Both the full model and the simplified model effectively distinguished CC from HSIL,CC from healthy,and HSIL from healthy.The AUC values for the full model were 0.90,0.92 and 0.84,respectively,while those for the simplified model were 0.81,0.95 and 0.85,respectively.Furthermore,the PEG2 model achieved AUC values of 0.74 and 0.80 for distinguishing CC from healthy and HSIL from healthy,respectively.CONCLUSION:The metabolic profiles of cervical cancer exhibit significant differences during the progression of cervical cancer,and these metabolites hold potential clinical value as biomarkers for cervical lesions.

Objective To explore the current status of penile erection hardness and its influencing factors in patients with non-obstructive azoospermia.Methods From January to December 2024,450 patients with non-obstructive azoospermia were surveyed at the Reproductive Medicine Center of Hospital.A self-made general information questionnaire was used to collect their demographic data.The Erectile Hardness Scale(EHS)was employed to investigate the current status of their penile erection hardness,and a self-made questionnaire was utilized to explore the influencing factors.Results Among the 450 patients with non-obstructive azoospermia,during sexual intercourse,35.3%of the patients reported that their penile erection hardness could reach grade 4(normal state),54.5%reported that it only reached grade 3(sub-optimal state),9.3%reported that it only reached grade 2(slight penile erection),and 0.9%reported that it only reached grade 1(inability to achieve an erection).In the survey of satisfaction with sexual life quality,among the 450 patients,only 24.9%were very satisfied with their sexual life quality;57.3%were basically satisfied;9.6%considered it average;4.0%were dissatisfied;3.1%were very dissatisfied;and 1.1%had no sexual life.alcohol consumption(OR=2.393,95%CI:1.493～3.836),satisfaction with the quality of sexual life(OR=1.455,95%CI:1.118～1.894),educational attainment(OR=0.709,95%CI:0.549～0.917),and the sleep quality in the past month(OR=0.641,95%CI:0.452～0.907).Conclusions Clinical studies have shown that factors such as drinking habits,sexual life satisfaction,sleep quality,and educational attainment collectively influence the penile erection hardness in patients with non-obstructive azoospermia.Therefore,the medical team needs to customize personalized intervention plans and educational materials based on individual differences among patients.Through psychological counseling and lifestyle guidance,they can improve erectile function and the quality of sexual life,promote harmonious marital relationships,and enhance the overall life experience of the patients.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Objective To explore the current status of penile erection hardness and its influencing factors in patients with non-obstructive azoospermia.Methods From January to December 2024,450 patients with non-obstructive azoospermia were surveyed at the Reproductive Medicine Center of Hospital.A self-made general information questionnaire was used to collect their demographic data.The Erectile Hardness Scale(EHS)was employed to investigate the current status of their penile erection hardness,and a self-made questionnaire was utilized to explore the influencing factors.Results Among the 450 patients with non-obstructive azoospermia,during sexual intercourse,35.3%of the patients reported that their penile erection hardness could reach grade 4(normal state),54.5%reported that it only reached grade 3(sub-optimal state),9.3%reported that it only reached grade 2(slight penile erection),and 0.9%reported that it only reached grade 1(inability to achieve an erection).In the survey of satisfaction with sexual life quality,among the 450 patients,only 24.9%were very satisfied with their sexual life quality;57.3%were basically satisfied;9.6%considered it average;4.0%were dissatisfied;3.1%were very dissatisfied;and 1.1%had no sexual life.alcohol consumption(OR=2.393,95%CI:1.493～3.836),satisfaction with the quality of sexual life(OR=1.455,95%CI:1.118～1.894),educational attainment(OR=0.709,95%CI:0.549～0.917),and the sleep quality in the past month(OR=0.641,95%CI:0.452～0.907).Conclusions Clinical studies have shown that factors such as drinking habits,sexual life satisfaction,sleep quality,and educational attainment collectively influence the penile erection hardness in patients with non-obstructive azoospermia.Therefore,the medical team needs to customize personalized intervention plans and educational materials based on individual differences among patients.Through psychological counseling and lifestyle guidance,they can improve erectile function and the quality of sexual life,promote harmonious marital relationships,and enhance the overall life experience of the patients.

Based on the"brain-heart-kidney-seminal chamber"axis theory to understand the pathogenesis of coronary heart disease(CHD)complicated with erectile dysfunction(ED),it is considered that the dysfunction of the"brain-heart-kidney-seminal chamber"axis is closely related to the occurrence of CHD complicated with ED,in which kidney deficiency is the initial factor;heart brain disorder,loss of consciousness is the key to the pathogenesis;the loss of seminal chamber is an important link in the pathogenesis.Under the guidance of the concept of"brain-heart-kidney-seminal chamber"axis,Cistanches Herba-Rehmannize Radix et Praeparata-Cuscutae Semen were used to invigorate the kidney and regulate the essence of the brain,heart,kidney and seminal chamber;Salviea Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Schisandrae Chinensis Fructus can reach the heart and brain,calm the heart and calm the mind;Cyathulae Radix-Scolopendra-Spatholobi Caulis can adjust and restore the seminal chamber,moistening the tendons and vibrating the flaccidity.In clinical practice,the whole medication should be used to make the brain,heart and kidney in harmony with the seminal chamber at the same time,and the drugs should be flexibly added and subtracted according to the specific symptoms of patients to enhance the curative effect of CHD patients with ED.

The aim of this study was to qualitatively and quantitatively detect coronavirus(CoV)in the feces of bats from Qinghua Cave,Yunnan Province,China.CoV was qualitatively tested with reverse transcription polymerase chain reaction(RT-PCR),and homology and genetic evolution were analyzed with bioinformatics software.The established reverse transcription real-time fluores-cence quantitative PCR(qRT-PCR)method was applied to CoV quantification in bat feces.The positivity rate of CoV in 306 fecal samples collected from the fulvous fruit bat(Rousettus leschenaultia)was 7.8%(24/306)according to RT-PCR.All 24 strains of CoV belonged to β-CoV,and showed a similarity of 86.8%-100.0%at the nucleotide level and 95.2%-100.0%at the amino acid level,with respect to other β-CoV sequences in the NCBI database.The positivity rate of CoV was 18.6%(57/306)according to qRT-PCR,a value higher than that according to RT-PCR(χ2=25.3,P<0.05).The mean β-CoV load was 1.3×103 copies/μL.In conclusion,the bats in Qinghua Cave,Yunnan Province,carried CoV belonging to β-CoV.The established qRT-PCR method achieved good sensitiv-ity,accuracy,reproducibility,and a higher detection rate than that of RT-PCR,and can be used for rapid detection of β-CoV in bats.