Objective To explore the correlation between serum angiotensin-converting enzyme(SACE),matrix metalloproteinase-9(MMP-9)and haptoglobin(HPT)with pulmonary infection in patients with schizophrenia.Methods A total of 83 patients with schizophrenia were selected and divided into the infected group(40 cases)and the non-infected group(43 cases)according to whether they had pulmonary infection.Data of antipsychotic drugs,length of hospital stay,course of disease and electroconvulsive therapy were collected.Serum SACE,MMP-9 and HPT levels were detected by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to determine serum SACE,MMP-9 and HPT and pulmonary infection in patients with schizophrenia.Logistic regression was used to analyze risk factors for pulmonary infection in patients with schizophrenia,and receiver operating characteristic(ROC)curves were used to evaluate the predictive value of serum SACE,MMP-9 and HPT in patients with pulmonary infection.Results Before treatment,the types of antipsychotic drugs≥2,the proportion of electroconvulsive therapy,serum SACE,MMP-9 and HPT levels were higher in the infected group than those in the non-infected group(P＜0.05).After treatment,there were no significant differences in serum SACE,MMP-9 and HPT levels between the infected group and the non-infected group(P＞0.05).Serum SACE,MMP-9 and HPT were positively correlated with pulmonary infection in patients with schizophrenia(P＜0.05).More than 2 types of antipsychotic drugs,electroconvulsive therapy and elevated SACE,MMP-9 and HPT were risk factors for pulmonary infection in schizophrenia patients(P＜0.05).The ROC curve analysis showed that the combined serum SACE,MMP-9 and HPT for pneumonia in schizophrenic patients were better than each of these indicators alone in predicting pulmonary infection in patients with schizophrenia.Conclusion Serum SACE,MMP-9 and HPT are related with pulmonary infection in patients with schizophrenia,and which can be used as potential indicators for predicting pulmonary infection in patients with schizophrenia.

Objective:To study the relationship between urinary arsenic methylation metabolism patterns and skin keratinization and pigmentation abnormalities in population exposed to arsenic through drinking water.Methods:Using a cross-sectional study method, a survey on endemic arsenic poisoning was conducted among permanent residents of drinking water endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region in 2004 (before water improvement). In 2017 (after water improvement), 71 arsenic exposed individuals were followed up as survey subjects. According to the "Diagnosis of Endemic Arsenism" (WS/T 211-2015), the clinical grading of skin injuries (skin keratinization, pigmentation abnormalities) in the survey subjects was evaluated. Urine samples were collected for detection of arsenic methylation metabolite levels by high-performance liquid chromatography inductively coupled plasma mass spectrometry and calibrated with urinary creatinine. The changes and amplitudes of urinary arsenic methylation indicators before and after water improvement were calculated and analyzed according to the outcome of skin keratinization and pigmentation abnormalities which were divided into reduced, unchanged, and added groups.Results:(1) The changes in urinary total arsenic (TAs), inorganic arsenic (iAs), monomethyl arsenic (MMA), and dimethyl arsenic (DMA) levels in different outcome groups of skin keratinization were compared, and the differences were statistically significant ( H = 9.08, 8.77, 9.28, 8.57, P < 0.05). The changes in urinary TAs, iAs, MMA, DMA levels, iAs percentage (iAs%), DMA percentage (DMA%), and primary methylation index (PMI) in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 8.04, 10.67, 8.29, 9.14, 6.30, 9.10, 7.20, P < 0.05). (2) The comparison of amplitudes in urinary TAs, iAs, MMA, and DMA levels in different outcome groups of skin keratinization showed statistically significant differences ( H = 6.92, 7.34, 6.66, 6.16, P < 0.05). The amplitudes in urinary iAs level, iAs%, DMA%, and PMI in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 7.94, 7.61, 9.95, 7.22, P < 0.05). Conclusion:The changes pattern of urinary TAs, iAs, MMA, DMA, iAs%, DMA%, and PMI in population exposed to arsenic through drinking water is related to the transformation of skin keratinization and pigmentation abnormalities.

Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

Objective:To study the relationship between urinary arsenic methylation metabolism patterns and skin keratinization and pigmentation abnormalities in population exposed to arsenic through drinking water.Methods:Using a cross-sectional study method, a survey on endemic arsenic poisoning was conducted among permanent residents of drinking water endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region in 2004 (before water improvement). In 2017 (after water improvement), 71 arsenic exposed individuals were followed up as survey subjects. According to the "Diagnosis of Endemic Arsenism" (WS/T 211-2015), the clinical grading of skin injuries (skin keratinization, pigmentation abnormalities) in the survey subjects was evaluated. Urine samples were collected for detection of arsenic methylation metabolite levels by high-performance liquid chromatography inductively coupled plasma mass spectrometry and calibrated with urinary creatinine. The changes and amplitudes of urinary arsenic methylation indicators before and after water improvement were calculated and analyzed according to the outcome of skin keratinization and pigmentation abnormalities which were divided into reduced, unchanged, and added groups.Results:(1) The changes in urinary total arsenic (TAs), inorganic arsenic (iAs), monomethyl arsenic (MMA), and dimethyl arsenic (DMA) levels in different outcome groups of skin keratinization were compared, and the differences were statistically significant ( H = 9.08, 8.77, 9.28, 8.57, P < 0.05). The changes in urinary TAs, iAs, MMA, DMA levels, iAs percentage (iAs%), DMA percentage (DMA%), and primary methylation index (PMI) in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 8.04, 10.67, 8.29, 9.14, 6.30, 9.10, 7.20, P < 0.05). (2) The comparison of amplitudes in urinary TAs, iAs, MMA, and DMA levels in different outcome groups of skin keratinization showed statistically significant differences ( H = 6.92, 7.34, 6.66, 6.16, P < 0.05). The amplitudes in urinary iAs level, iAs%, DMA%, and PMI in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 7.94, 7.61, 9.95, 7.22, P < 0.05). Conclusion:The changes pattern of urinary TAs, iAs, MMA, DMA, iAs%, DMA%, and PMI in population exposed to arsenic through drinking water is related to the transformation of skin keratinization and pigmentation abnormalities.

Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

Objective To explore the correlation between serum angiotensin-converting enzyme(SACE),matrix metalloproteinase-9(MMP-9)and haptoglobin(HPT)with pulmonary infection in patients with schizophrenia.Methods A total of 83 patients with schizophrenia were selected and divided into the infected group(40 cases)and the non-infected group(43 cases)according to whether they had pulmonary infection.Data of antipsychotic drugs,length of hospital stay,course of disease and electroconvulsive therapy were collected.Serum SACE,MMP-9 and HPT levels were detected by enzyme-linked immunosorbent assay.Spearman correlation analysis was used to determine serum SACE,MMP-9 and HPT and pulmonary infection in patients with schizophrenia.Logistic regression was used to analyze risk factors for pulmonary infection in patients with schizophrenia,and receiver operating characteristic(ROC)curves were used to evaluate the predictive value of serum SACE,MMP-9 and HPT in patients with pulmonary infection.Results Before treatment,the types of antipsychotic drugs≥2,the proportion of electroconvulsive therapy,serum SACE,MMP-9 and HPT levels were higher in the infected group than those in the non-infected group(P＜0.05).After treatment,there were no significant differences in serum SACE,MMP-9 and HPT levels between the infected group and the non-infected group(P＞0.05).Serum SACE,MMP-9 and HPT were positively correlated with pulmonary infection in patients with schizophrenia(P＜0.05).More than 2 types of antipsychotic drugs,electroconvulsive therapy and elevated SACE,MMP-9 and HPT were risk factors for pulmonary infection in schizophrenia patients(P＜0.05).The ROC curve analysis showed that the combined serum SACE,MMP-9 and HPT for pneumonia in schizophrenic patients were better than each of these indicators alone in predicting pulmonary infection in patients with schizophrenia.Conclusion Serum SACE,MMP-9 and HPT are related with pulmonary infection in patients with schizophrenia,and which can be used as potential indicators for predicting pulmonary infection in patients with schizophrenia.

Objective To analyze the risk factors of heart failure in patients with coronary heart disease(CHD),and to construct and verify a nomogram prediction model for the risk of heart failure in patients with CHD.Methods The clinical data of 453 patients with CHD who were hospitalized in the Second Affiliated Hospital of Shenyang Medical College from January to December 2022 were retrospectively analyzed,including 278 patients with CHD combined with heart failure and 175 patients without heart failure.The patients were divided into training group(318 cases)and validation group(135 cases)according to the ratio of 7:3.R software was applied to perform LASSO regression to screen the risk factors,and Logistic regression to establish a prediction model and construct a nomogram.The calibration curve and receiver operating characteristic(ROC)curve were used to evaluate the calibration and discrimination of the model.Results LASSO regression analysis ultimately screened five risk factors from 22 variables,and Logistic regression results showed that age,smoking,history of myocardial infarction,New York Heart Association(NYHA)cardiac function class Ⅳ,and left ventricular ejection fraction(LVEF)were all independent risk factors for heart failure in CHD patients(P＜0.05).The model formula was Z=-2.927+0.045 × age+0.886 × smoking+0.808 × history of myocardial infarction-2.829 × NYHA cardiac function class Ⅳ+0.037×LVFF.Internal validation of the model showed that area under the curve was 0.727(95％CI:0.588-0.752),the sensitivity was 40.4％,the specificity was 84.3％,and the Youden index was 0.247.According to the calibration curve,the predicted value of the calibration curve was highly consistent with the actual value,and the Brier score was 0.106.Conclusion The risk prediction model for heart failure in patients with CHD based on LASSO regression has good discrimination and prediction efficiency,which can be used as an evaluation tool for medical staff to predict the risk of patients.

Objective:To explore MRI T 2-mapping and blood oxygenation level dependent (BOLD) to evaluate the functional changes of paraspinal muscle in rats with discogenic low back pain (DLBP) after swimming. Methods:Totally 54 female 1-month-old SD rats were selected, which were divided into 3 groups by random number table method, sham operation (Sham) group, DLBP non-swimming group and DLBP swimming group, with 18 rats in each group. Under the guidance of X-ray fluoroscopy, the L4/5 and L5/6 intervertebral discs of the rats in the DLBP non-swimming group and DLBP swimming group were punctured by the posterior approach, and establishment of DLBP rat model by destroying nucleus pulposus, and only paraspinal muscles at the same level were punctured in the Sham group. After modeling, the DLBP swimming group received swimming exercise intervention for 5 consecutive days (30 min/d), while the DLBP non-swimming group and Sham group did not receive any rehabilitation exercise intervention. Each group was divided into 3 time point subgroups on average, the T 2-mapping and BOLD sequences were scanned at 30, 90 and 180 days after modeling to obtain the T 2 value, R 2* value of the paraspinal muscles, and the paraspinal muscles at the modeling level were taken for immunofluorescence staining, and the fluorescence intensity of myosin heavy chain (MYH)1 (type Ⅱ muscle fiber) and MYH7 (type I muscle fiber) was analyzed. One-way analysis of variance was used for comparison among the 3 groups, and the Bonferroni method was used for multiple comparisons, and Pearson correlation coefficient was used to evaluate the correlation between quantitative MRI parameters T 2 value, R 2* value and MYH1, MYH7 immunofluorescence intensity of rat paraspinal muscles at 180 days after modeling. Results:At 30 days after modeling, there was no significant difference in T 2 value and R 2* value among the 3 groups (all P>0.05). At 90 days after modeling, the T 2 value of the DLBP swimming group was higher than that of the DLBP non-swimming group, and the T 2 value of the DLBP non-swimming group was lower than that of the Sham group (all P<0.05), and there was no significant difference in the R 2* value among the 3 groups ( P>0.05). At 180 days after modeling, the T 2 value of the DLBP swimming group was higher than that of the DLBP non-swimming group, and the R 2* value was lower than that of the DLBP non-swimming group; the T 2 value of the DLBP non-swimming group was lower than that of the Sham group, and the R 2* value was higher than that of the Sham group (all P<0.05). At 30 and 90 days after modeling, there was no significant difference in the expressions of MYH1 and MYH7 among the 3 groups (all P>0.05). At 180 days after modeling, the expression of MYH1 decreased and the expression of MYH7 increased in the DLBP swimming group compared with the DLBP non-swimming group; the expression of MYH1 increased and the expression of MYH7 decreased in the DLBP non-swimming group compared with the Sham group (all P<0.05). At 180 days after modeling, the T 2 value had a moderate negative correlation with the fluorescence intensity of MYH1 ( r=-0.511, P=0.043), and a moderate positive correlation with the fluorescence intensity of MYH7 ( r=0.564, P=0.023); R 2* value was moderate positive correlated with the fluorescence intensity of MYH1 ( r=0.625, P=0.010), and moderate negative correlated with the fluorescence intensity of MYH7 ( r=-0.653, P=0.006). Conclusions:Swimming exercise can improve the reduction of water content and perfusion in the paraspinal muscles of DLBP rats, and reduce the transformation of muscle fibers from type Ⅰ to type Ⅱ, the changes of T 2 and R 2* value can reflect the transformation of paraspinal muscle fiber types to a certain extent.

Objective:To understand the current situation of nurses in 52 hospitals in China on mastery of knowledge about skin injury in the elderly based on the background of mixed-mode homogenization training.Methods:Using the convenient sampling method, a total of 1 067 nurses from 52 hospitals in China were selected as the research objects in January 2021. A self-designed questionnaire on knowledge of skin injury in the elderly was used to investigate the nurses through the questionnaire star and univariate analysis was used to analyze the influencing factors. A total of 1 067 questionnaires were distributed and 1 067 valid questionnaires were recovered, and the effective recovery rate was 100%.Results:The knowledge scores of pressure injury, incontinence-associated dermatitis, skin tear and xerosis cutis among 1067 nurses were (95.66±7.37) , (95.65±9.15) , (91.37±15.45) and (87.67±15.91) , respectively. The results of univariate analysis showed that hospital grade was the influencing factor of nurses' knowledge score of pressure injury, skin tear and incontinence-associated dermatitis ( P<0.05) , educational background was the influencing factor of nurses' knowledge score of skin tear ( P<0.05) , professional title was the influencing factor of nurses' knowledge scores of pressure injury, incontinence-associated dermatitis and xerosis cutis ( P<0.05) . Conclusions:Hospitals at all levels need to strengthen the theoretical and practical knowledge training for nurses on skin xerosis and skin tear in the elderly, especially for nurses with primary titles and lower education in grassroots hospitals.

Objective:To compare the pathological results and complications of limited and extended pelvic lymph node dissection among high-risk prostate cancer patients, and to explore the risk factors that affect the rate of lymph node metastasis in high-risk prostate cancer patients.Methods:The data of 800 high-risk prostate cancer patients who underwent radical prostatectomy and pelvic lymph node dissection from January 2016 to December 2020 in three affiliated hospital of Sun Yat-sen University were analyzed retrospectively. According to the scope of pelvic lymph node dissection, they were divided into limited pelvic lymph node dissection (LPLND) group and extended pelvic lymph node dissection (EPLND) group. There were 172 patients underwent LPLND, and 628 patients underwent EPLND.The age of the patients in the LPLND group was 67 (62, 72) years old, diagnosed PSA 20.7 (10.9, 54.8) ng/ml. The biopsy Gleason score 6 in 22 cases, 7 in 59 cases, 8 in 56 cases and 9-10 in 35 cases.The clinical T stage: T 1 in 29 cases, T 2 in 102 cases, T 3 in 37 cases, T 4 in 4 cases; N 0 in 160 cases and N 1 in 12 cases. 50 patients received neoadjuvant hormonal therapy. The age of patients in the EPLND group was 67 (63, 72) years old, diagnosed PSA was 23.9 (14.0, 46.8) ng/ml. Biopsy Gleason Score 6 in 51 cases, 7 in 194 cases, 8 in 218 cases and 9-10 in 165 cases. Clinical T stage: T 1 in 114 cases, T 2 in 341 cases, T 3 in 144 cases, T 4 in 29 cases; N 0 in 526 cases and N 1 in 102 cases.158 patients received neoadjuvant hormonal therapy. There were no significant differences in the age, PSA, puncture Gleason score, clinical T stage, and whether or not to receive neoadjuvant hormonal therapy between the two groups of patients ( P>0.05). The difference in clinical N staging was statistically significant ( P=0.002). The number of postoperative lymph nodes, positive pelvic lymph nodes and postoperative complications and other related clinical and pathological data of the two groups were analyzed. Multivariate logistic regression was used to analyze the risk factors of patients with positive lymph nodes. Results:The median number of lymph nodes harvested [13(8, 19)vs. 6(4, 13), P<0.001] and the rate of positive lymph node cases[31.2%(196/628) vs. 10.5%(18/172), P<0.001] in the EPLND group was significantly higher than those in the LPLND group. Preoperative PSA, clinical N staging, Gleason score, and way of lymph node dissection were independent risk factors for postoperative positive pelvic lymph node in high-risk prostate cancer patients. Compared with the LPLND group, the ELPND group had a higher postoperative complication rate [19.9%(125/628) vs. 11.0%(11/172), P=0.007]. Conclusions:Compared with the LPLND, EPLND in high-risk prostate cancer patients can harvest more lymph nodes and increase the detection rate of positive lymph nodes. The complications of EPLND were higher than those of LPLND. Preoperative PSA, clinical N stage, Gleason score, and the way of lymph node dissection are independent risk factors for positive pelvic lymph node dissection.