Objective:To investigate the effect of laboratory indicators on hair loss in patients with female pattern hair loss (FPHL).Methods:Patients with FPHL who visited the Outpatient Clinic of the Department of Medical Aesthetics in Hangzhou First People’s Hospital from November 2022 to November 2023 were selected as the study group, and healthy women who matched the age of the study group in the physical examination center during the same period were selected as the control group. The general information of the patient was recorded, and was also tested by trichoscopy to rule out other patterns of alopecia. Representative indicators including testosterone, dehydroepiandrosterone sulfate(DHEA-S), thyroid-stimulating hormone, 25-hydroxyvitamin D, and serum ferritin were selected from laboratory tests for further analysis. Otherwise, the proportion of deficiency in vitamin D(<20 ng/ml) was calculated based on 25-hydroxyvitamin D levels (number of deficiency cases/total number of cases in each group×100%). Count data were presented as samples (percentages), and chi-square test was used for comparison between groups. Normally distributed continuous data were presented with Mean±SD, independent samples t-test was used for comparison between groups, M( Q1, Q3) was used for non-normally distributed continuous data, and Wilcoxon rank-sum test was used for comparison between groups. Multivariate logistic regression was used to analyze the influencing factors of FPHL. P<0.05 was statistically significant. Results:A total of 37 patients were selected in both groups. The mean age was (28.8±1.3) years in the study group and (29.6±0.9) years in the control group ( t=0.49, P=0.625). The body mass index was (22.8±0.4) kg/m 2 in the study group, and (23.5±0.3) kg/m 2 in the control group ( t=1.26, P=0.211). The testosterone level was 0.58 (0.49, 0.79) nmol/L in the study group, and 0.54 (0.50, 0.78) nmol/L in the control group( Z=1.42, P=0.157). The level of DHEA-S was 6.21 (5.18, 9.60) μmol/L in the study group, and 6.20 (5.20, 9.34) μmol/L in the control group ( Z=2.75, P=0.006). The level of thyroid-stimulating hormone was 2.56 (1.55, 3.66) mU/L in the study group and 1.49 (1.05, 2.65) mU/L in the control group ( Z=2.51, P=0.012). The level of 25-hydroxyvitamin D was 15.44 (11.80, 21.20) ng/ml in the study group, and the level of 25-hydroxyvitamin D was 20.32 (12.07, 21.20) ng/ml in the control group ( Z=2.30, P=0.021), and the proportion of 25-hydroxyvitamin D deficiency in the study group was 64.9% (24/37), which was higher than that in the control group [40.5% (15/37)] ( χ2=4.39, P=0.036). The serum ferritin level was 64.44 (39.47, 133.45) μg/L in the study group and 67.75 (52.63, 143.83) μg/L in the control group ( Z=0.70, P=0.484). The results of multivariate logistic regression analysis showed that the risk of FPHL was increased by the high level of DHEA-S and thyroid-stimulating hormone, and the low level of 25-hydroxyvitamin D (all P<0.05). Conclusion:Abnormal level of DHEA-S, thyroid-stimulating hormone, and 25-hydroxyvitamin D may be risk factors for FPHL.

Objective:To investigate the effect of laboratory indicators on hair loss in patients with female pattern hair loss (FPHL).Methods:Patients with FPHL who visited the Outpatient Clinic of the Department of Medical Aesthetics in Hangzhou First People’s Hospital from November 2022 to November 2023 were selected as the study group, and healthy women who matched the age of the study group in the physical examination center during the same period were selected as the control group. The general information of the patient was recorded, and was also tested by trichoscopy to rule out other patterns of alopecia. Representative indicators including testosterone, dehydroepiandrosterone sulfate(DHEA-S), thyroid-stimulating hormone, 25-hydroxyvitamin D, and serum ferritin were selected from laboratory tests for further analysis. Otherwise, the proportion of deficiency in vitamin D(<20 ng/ml) was calculated based on 25-hydroxyvitamin D levels (number of deficiency cases/total number of cases in each group×100%). Count data were presented as samples (percentages), and chi-square test was used for comparison between groups. Normally distributed continuous data were presented with Mean±SD, independent samples t-test was used for comparison between groups, M( Q1, Q3) was used for non-normally distributed continuous data, and Wilcoxon rank-sum test was used for comparison between groups. Multivariate logistic regression was used to analyze the influencing factors of FPHL. P<0.05 was statistically significant. Results:A total of 37 patients were selected in both groups. The mean age was (28.8±1.3) years in the study group and (29.6±0.9) years in the control group ( t=0.49, P=0.625). The body mass index was (22.8±0.4) kg/m 2 in the study group, and (23.5±0.3) kg/m 2 in the control group ( t=1.26, P=0.211). The testosterone level was 0.58 (0.49, 0.79) nmol/L in the study group, and 0.54 (0.50, 0.78) nmol/L in the control group( Z=1.42, P=0.157). The level of DHEA-S was 6.21 (5.18, 9.60) μmol/L in the study group, and 6.20 (5.20, 9.34) μmol/L in the control group ( Z=2.75, P=0.006). The level of thyroid-stimulating hormone was 2.56 (1.55, 3.66) mU/L in the study group and 1.49 (1.05, 2.65) mU/L in the control group ( Z=2.51, P=0.012). The level of 25-hydroxyvitamin D was 15.44 (11.80, 21.20) ng/ml in the study group, and the level of 25-hydroxyvitamin D was 20.32 (12.07, 21.20) ng/ml in the control group ( Z=2.30, P=0.021), and the proportion of 25-hydroxyvitamin D deficiency in the study group was 64.9% (24/37), which was higher than that in the control group [40.5% (15/37)] ( χ2=4.39, P=0.036). The serum ferritin level was 64.44 (39.47, 133.45) μg/L in the study group and 67.75 (52.63, 143.83) μg/L in the control group ( Z=0.70, P=0.484). The results of multivariate logistic regression analysis showed that the risk of FPHL was increased by the high level of DHEA-S and thyroid-stimulating hormone, and the low level of 25-hydroxyvitamin D (all P<0.05). Conclusion:Abnormal level of DHEA-S, thyroid-stimulating hormone, and 25-hydroxyvitamin D may be risk factors for FPHL.

Objective:To study the life characteristics and related risk factors of patients with depression in Shandong Province.Methods:Based on the 2015 mental epidemiological survey database in Shandong Province,a total of 832 patients with depression,807 high-risk individuals with depression,and 819 low-risk individuals were diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)and the Structured Clinical Interview for DSM-Ⅳ-TR Axis I Disorders,Research Version(SCID-I/P).In 2020,SCID-I/P was used for re diagnosis,and the General Health Questionnaire(GHQ-12),Simple Quality of Life question-naire,Pittsburgh sleep quality index(PSQI),Childhood Trauma Questionnaire(CTQ),Social Support Rating Scale(SSRS),Global Pain Scale(GPS),Montreal Cognitive Assessment(MoCA),Simplified Coping Style Question-naire(SCSQ)were used for evaluation.Compare changes in the quality of life of depression patients and construct a risk factor model.Results:Patients with depression had lower scores on the simple quality of life questionnaire at baseline and at retest after 5 years than those in the high-and low-risk groups,those in remission of depression had higher scores on the simple quality of life questionnaire at baseline and at retest after 5 years than those in non-re-mission,and those with new-onset disorder in the high-and low-risk groups had lower scores on the simple quality of life questionnaire at baseline and at retest after 5 years than those with no-onset disorder(Ps＜0.001).Depres-sion diagnosis and PSQI scale scores at baseline negatively predicted at retest after 5 years(β=-0.06,-0.15),while coping style tendencies at baseline positively predicted(β=0.06).The simple quality of life questionnaire at baseline negatively predicted depression diagnosis at retest after 5 years,GHQ-12 scores at retest after 5 years,and PSQI scale scores at retest after 5 years(β=-0.11,-0.17,-0.09),while the simple quality of life question-naire at baseline positively predicted coping style tendencies at retest after 5 years(β=0.13).Depression diagnosis at retest after 5 years,GHQ-12 scores at retest after 5 years,PSQI scale scores at retest after 5 years,coping style tendencies at retest after 5 years,SSRS scale scores,CTQ scale scores,GPS scale scores,and the simple quality of life questionnaire at baseline all influenced the simple quality of life questionnaire at retest after 5 years through ei-ther direct or indirect pathways.Conclusion:It suggest that the quality of life is lower in patients with depression than in the general population.Depression diagnosis,sleep,mental health,pain,social support,childhood trauma and coping are direct and indirect risk factors affecting life.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To evaluate the effects of various polysorbates(PS)on the stability of different types of monoclonal antibody(mAb)drugs.Methods Three types of monoclonal antibodies mAbA(IgG1 proantibody drug),mAbB(IgG1 mAb)and mAbC(IgG1 mAb with Fc N297A mutation)were used as model proteins,and different kinds or contents of PS were added into the mAb formulations respectively to investigate the influencing factors.The effects of PS on the stability of mAb drugs were evaluated comprehensively by detecting the changes of quality attributes,such as protein aggregates and insoluble particles.Results PS20 and PS80 showed no significant difference in inhibiting the formation of aggregates and charge variants in the three mAbs(P>0.05),while the addition of PS80 in mAbB and PS20 in mAbC significantly inhibited the increase of insoluble particles respectively(P<0.05);The content of PS20 showed a significant effect on the detection indexes of charge variants and insoluble particles in mAbC(P<0.05).Conclusion Different types of mAbs have different sensitivities to various kinds and contents of PS.Therefore,when designing the formulation of mAbs,it is necessary to select appropriate kinds and contents of PS to further improve the stability of mAb drugs.

Objective:To explore the applicability of the distance between facial marks classification in evaluating the severity of androgenic alopecia in men.Methods:From June to December 2019, the male Chinese with diagnosis of androgenic alopecia were evaluated in the specific clinic of alopecia of Hangzhou First People’s Hospital according to the distance between facial marks and BASP(basic and specific) classification. The classification based on the distance between facial marks measures the distance from the facial marks of the anterior hairline to the horizontal line of the eyebrow and the longest radius of hair loss in the hair rotation center, the hair recession of the patient’s forehead (F), temporal (M) and vertex (V) parts. The hair loss in each region is rated as 0-3 grade from light to heavy, and the final hair loss grading is expressed as FnMnVn, such as F1M2V0. The highest grade of hair loss in F, M and V is the overall grade of hair loss. SPSS 25.0 software was used to statistically analyze the general data of patients, and Kappa test was used to evaluate the consistency between the results of the distance classification and BASP classification. The repeatability of the distance classification was tested by the repetition rate of three hair loss specialists. When two or more specialists gave the same evaluation among the three hair loss specialists, the result was regarded as the standard result. The ease of use of the distance between facial marks classification was tested by the consistency rate between the grading results of two temporary trained general doctors and the standard results.Results:A total of 150 male patients, aged (32.8±7.9) years (19-58 years), were included, of which 99 patients were 24-35 years old, accounting for 66.00%. It can be observed that the onset age was earlier. As assessed in this classification, the patients who participated in the study were graded as mild in 65 cases(43.33%), severe in 58 cases(38.67%), and moderate, which was consistency with the results obtained by BASP classification ( κ=0.573, P<0.001). Three experienced alopecia specialists evaluated 150 patients through the distance between facial marks. The results showed that the repetition rates of frontal, temporal and parietal classification results were 98.00%(147/150), 97.33%(146/150) and 96.00%(144/150), respectively. The repetition rate of the final alopecia classification was 92.00%(138/150), and the repetition rate of the overall alopecia classification was 98.00%(147/150). The consistency rate between the overall alopecia classification results of two temporary trained general doctors and the standard results was 95.92%(141/147) and 96.60%(142/147), respectively, and the consistency rate of the other results was higher than 90.00% except for one general doctor who was 89.86%(124/138) in the final classification. Conclusion:The distance between facial marks classification is a comparatively accurate and easy-to-learn grading method designed for Chinese male androgenic hair loss patients based on objective measurement data.

Objective:To explore the applicability of the distance between facial marks classification in evaluating the severity of androgenic alopecia in men.Methods:From June to December 2019, the male Chinese with diagnosis of androgenic alopecia were evaluated in the specific clinic of alopecia of Hangzhou First People’s Hospital according to the distance between facial marks and BASP(basic and specific) classification. The classification based on the distance between facial marks measures the distance from the facial marks of the anterior hairline to the horizontal line of the eyebrow and the longest radius of hair loss in the hair rotation center, the hair recession of the patient’s forehead (F), temporal (M) and vertex (V) parts. The hair loss in each region is rated as 0-3 grade from light to heavy, and the final hair loss grading is expressed as FnMnVn, such as F1M2V0. The highest grade of hair loss in F, M and V is the overall grade of hair loss. SPSS 25.0 software was used to statistically analyze the general data of patients, and Kappa test was used to evaluate the consistency between the results of the distance classification and BASP classification. The repeatability of the distance classification was tested by the repetition rate of three hair loss specialists. When two or more specialists gave the same evaluation among the three hair loss specialists, the result was regarded as the standard result. The ease of use of the distance between facial marks classification was tested by the consistency rate between the grading results of two temporary trained general doctors and the standard results.Results:A total of 150 male patients, aged (32.8±7.9) years (19-58 years), were included, of which 99 patients were 24-35 years old, accounting for 66.00%. It can be observed that the onset age was earlier. As assessed in this classification, the patients who participated in the study were graded as mild in 65 cases(43.33%), severe in 58 cases(38.67%), and moderate, which was consistency with the results obtained by BASP classification ( κ=0.573, P<0.001). Three experienced alopecia specialists evaluated 150 patients through the distance between facial marks. The results showed that the repetition rates of frontal, temporal and parietal classification results were 98.00%(147/150), 97.33%(146/150) and 96.00%(144/150), respectively. The repetition rate of the final alopecia classification was 92.00%(138/150), and the repetition rate of the overall alopecia classification was 98.00%(147/150). The consistency rate between the overall alopecia classification results of two temporary trained general doctors and the standard results was 95.92%(141/147) and 96.60%(142/147), respectively, and the consistency rate of the other results was higher than 90.00% except for one general doctor who was 89.86%(124/138) in the final classification. Conclusion:The distance between facial marks classification is a comparatively accurate and easy-to-learn grading method designed for Chinese male androgenic hair loss patients based on objective measurement data.

OBJECTIVE: To observe the effects of catgut embedding and polyglycolic acid/poly-lactic acid (PGLA) embedding at "Zusanli" (ST 36) on the activation of local skin mast cells (MC), and expression of substance P (SP) and histamine (HA), and to explore the mechanism of the temporal stimulation effect of acupoint catgut embedding and provide a foundation for further research on the initiation mechanism of acupoint catgut embedding. METHODS: One hundred and sixty male SPF-grade SD rats were randomly divided into a blank group (10 rats), a sham-embedding group (50 rats), a catgut group (50 rats), and a PGLA group (50 rats). Each intervention group was further randomly divided into five subgroups according to the time points after intervention: 8 hours, 3 days, 7 days, 14 days, and 21 days, with 10 rats in each subgroup. One-time sham-embedding, catgut embedding and PGLA embedding was given at left "Zusanli" (ST 36) in each intervention group, respectively. The skin and subcutaneous connective tissue of the left "Zusanli" (ST 36) were collected at the corresponding time points after intervention, except for the blank group (only one day before intervention). Toluidine blue staining was used to detect MC count and degranulation, and immunohistochemical staining was used to detect the expression of SP and HA positive cells. RESULTS: There was no significant difference in MC count between the subgroups of each intervention group and the blank group (P>0.05). There was no significant difference in MC count between the subgroups of the catgut group and the PGLA group (P>0.05). The MC count in the 8-hour subgroup of PGLA group was higher than that in the 8-hour subgroup of catgut group (P<0.05), while the MC count in the 21-day subgroup of PGLA group was lower than that in the 21-day subgroup of catgut group (P<0.05). Compared with the blank group, the degranulation rates of MC were increased in the 8-hour and 3-day subgroups of sham-embedding group, 8-hour, 3-day, and 7-day subgroups of catgut group, and 8-hour, 3-day, 7-day, and 14-day subgroups of PGLA group (P<0.01, P<0.05, P<0.001). There was no significant difference in the degranulation rate of MC between the subgroups of the catgut group and the PGLA group (P>0.05), and no significant difference in the degranulation rate of MC between the two embedding groups at the same time point (P>0.05). Compared with the blank group, the expression of SP positive cells was increased in the 8-hour subgroup of sham-embedding group, 8-hour, 3-day, 7-day, and 14-day subgroups of catgut group, and 3-day, 7-day, and 14-day subgroups of PGLA group (P<0.001, P<0.05). The expression of SP positive cells in the 7-day subgroup of catgut group was higher than that in the 8-hour subgroup of catgut group (P<0.05), while the expression of SP positive cells in the 14-day subgroup of catgut group was lower than that in the 7-day subgroup of catgut group (P<0.001). The expression of SP positive cells in the 7-day subgroup of PGLA group was higher than that in the 3-day subgroup of PGLA group (P<0.05), while the expression of SP positive cells in the 14-day subgroup of PGLA group was lower than that in the 7-day subgroup of PGLA group (P<0.01). There was no significant difference in the expression of SP positive cells between the subgroups of the two embedding groups at the same time point (P>0.05). Compared with the blank group, the expression of HA positive cells was increased in the 8-hour, 3-day subgroups of sham-embedding group, 8-hour, 3-day, 7-day, and 14-day subgroups of catgut group, and 8-hour, 3-day, 7-day, 14-day, and 21-day subgroups of PGLA group (P<0.001, P<0.01, P<0.05). The expression of HA positive cells in the 14-day subgroup of catgut group was lower than that in the 7-day subgroup of catgut group (P<0.05), while the expression of HA positive cells in the 3-day subgroup of PGLA group was higher than that in the 8-hour subgroup of PGLA group (P<0.05), and the expression of HA positive cells in the 14-day subgroup of PGLA group was lower than that in the 7-day subgroup of PGLA group (P<0.05). The expression of HA positive cells in the 3-day subgroup of PGLA group was higher than that in the 3-day subgroup of catgut group (P<0.05). CONCLUSION Catgut and PGLA embedding at "Zusanli" (ST 36) in healthy rats could induce changes in local skin MC, SP, and HA, which may be one of the mechanisms of the temporal stimulation effect after acupoint embedding. There are certain differences between different suture materials. A moderate inflammatory response in the acupoint area, mediated by MC and involving SP and HA, may be one of the initiating factors for the effect of acupoint catgut embedding.
Rats ; Male ; Animals ; Rats, Sprague-Dawley ; Mast Cells ; Histamine ; Substance P/genetics* ; Catgut ; Acupuncture Points

Objective    To summarize the characteristics of bicuspid aortic valve (BAV) aortopathy and analyze the association between aortopathy and BAV phenotype and patterns of valvular dysfunction. Methods    Clinical data of 191 patients who underwent the first aortic valve replacement in Fuwai Hospital from June 2017 to March 2018 were retrospectively analyzed, including 143 males and 48 females with an average age of 53.91±12.52 years. All patients underwent multidetector computed tomography (MDCT) and echocardiography before the operation, excluding patients with aortic coarctation. The BAV aortopathy phenotype was classified during operation. The characteristics of BAV aortopathy were analyzed by cluster and artificial analysis. BAV anatomic phenotype was divided into two types according to the direction of valve opening: BAV-AP and BAV-LR. Results    Four distinct BAV aortopathy phenotypes were identified: a common type (n=70, 36.6%), with no dilation or mild dilation of aorta; a root type (n=24, 12.6%), with predominant dilatation of aortic sinus; an ascending aorta type (n=72, 37.7%), with predominant dilatation of ascending aorta; an arch type (n=25, 13.1%), with predominant dilatation of aortic arch dilatation. The root type was mainly in young patients, while the arch type was mainly in elderly patients (P<0.05). BAV-AP and aortic insufficiency were most prevalent in root type, while BAV-LR and aortic stenosis were most prevalent in arch type (P<0.05). There were 111 (58.1%) patients  undergoing aortic surgery, and the coincidence rate of BAV aortopathy phenotype and aortic surgery was 80.6%. Conclusion    According to the location of aortic dilation, BAV aortopathy can be divided into four types. There is an association between BAV aortopathy and valvular phenotype and dysfunction.

Objective: To investigate the correlation between clinicopathological features and Miller/Payne (MP) grading system of breast carcinoma after neoadjuvant treatment and to establish novel prediction models. Methods: A total of 1 053 cases of invasive breast carcinoma NOS that undertaken neoadjuvant treatment according to Guidelines of CSCO for Breast Cancer were selected at the Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute from September 2016 to September 2019, and the clinical, pathologic data, MP grading and immunohistochemical staining were evaluated. Statistical analysis was conducted using R software. Several novel computer models on prediction of MP grading were established and validated. Results: Among 1 053 patients who accepted neoadjuvant treatment, 316 patients (316/1 053, 30%) were evaluated as MP5 postoperatively, and 737 patients (737/1 053, 70%) did not meet MP5 level. MP5 had significant association with histological grade, ER and PR expression, HER2 status, Ki-67 index and molecular classification (P<0.05). Univariate/multivariate logistic regression analyses further showed that the above clinicopathological features were also independent influencing factors of MP5 grade; five-fold cross-validation was used to evaluate the performance of the models, and the sensitivity and specificity of different models were obtained. Conclusions: MP grading of invasive breast carcinoma NOS after neoadjuvant treatment is associated with high histological grade, negative ER and PR expression, HER2 positivity, high Ki-67 index and molecular classification, which are independent influence factors. GBM model recommended through comparison can provide some help for clinical diagnosis and treatment.
Breast Neoplasms/pathology* ; Female ; Humans ; Ki-67 Antigen/metabolism* ; Neoadjuvant Therapy ; Neoplasm Grading ; Receptor, ErbB-2/metabolism* ; Receptors, Estrogen/metabolism* ; Receptors, Progesterone/metabolism*