Neonatal sepsis is a systemic infection in which bacteria or fungi invade blood circulation and grow in it in the neonatal period,caused by toxin produce from bacteria or fungi.Currently sepsis is the major causing morbidity and mortality in neonatal infectious diseases,its clinical manifestation is not obvious and this brings us a range of clinical problems.In this review,we discussed these characteristics epidemiology,etiology,pathophysiology,clinical features of neonatal sepsis and septic shock in adults,to deepen the understanding of neonatal sepsis.

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 assess the effectiveness of a model created using clinical features and preoperative chest CT imaging features in predicting the chronic obstructive pulmonary disease (COPD) among patients diagnosed with lung cancer.Methods:A retrospective analysis was conducted on clinical (age, gender, smoking history, smoking index, etc.) and imaging (lesion size, location, density, lobulation sign, etc.) data from 444 lung cancer patients confirmed by pathology at the Second Affiliated Hospital of Naval Medical University between June 2014 and March 2021. These patients were randomly divided into a training set (310 patients) and an internal test set (134 patients) using a 7∶3 ratio through the random function in Python. Based on the results of pulmonary function tests, the patients were further categorized into two groups: lung cancer combined with COPD and lung cancer non-COPD. Initially, univariate analysis was performed to identify statistically significant differences in clinical characteristics between the two groups. The variables showing significance were then included in the logistic regression analysis to determine the independent factors predicting lung cancer combined with COPD, thereby constructing the clinical model. The image features underwent a filtering process using the minimum absolute value convergence and selection operator. The reliability of these features was assessed through leave-P groups-out cross-validation repeated five times. Subsequently, a radiological model was developed. Finally, a combined model was established by combining the radiological signature with the clinical features. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were plotted to evaluate the predictive capability and clinical applicability of the model. The area under the curve (AUC) for each model in predicting lung cancer combined with COPD was compared using the DeLong test.Results:In the training set, there were 182 cases in the lung cancer combined with COPD group and 128 cases in the lung cancer non-COPD group. The combined model demonstrated an AUC of 0.89 for predicting lung cancer combined with COPD, while the clinical model achieved an AUC of 0.82 and the radiological model had an AUC of 0.85. In the test set, there were 78 cases in the lung cancer combined with COPD group and 56 cases in the lung cancer non-COPD group. The combined model yielded an AUC of 0.85 for predicting lung cancer combined with COPD, compared to 0.77 for the clinical model and 0.83 for the radiological model. The difference in AUC between the radiological model and the clinical model was not statistically significant ( Z=1.40, P=0.163). However, there were statistically significant differences in the AUC values between the combined model and the clinical model ( Z=-4.01, P=0.010), as well as between the combined model and the radiological model ( Z=-2.57, P<0.001). DCA showed the maximum net benifit of the combined model. Conclusion:The developed synthetic diagnostic combined model, incorporating both radiological signature and clinical features, demonstrates the ability to predict COPD in patients with lung cancer.

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.