Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

Objective:To explore the differences in bacterial community structure between proximal colon cancer (PC), distal colon cancer (DC), and rectal cancer (RC), and the values of featured microbiota in differentiating PC with tumor markers.Methods:This case-control study enrolled 85 newly diagnosed colorectal cancer patients, including 22 PC, 15 DC and 48 RC patients, and 8 colorectal adenoma patients from May 2019 to July 2022 at the Department of General Surgery, Anyang Oncology Hospital. The blood and fecal samples were collected before surgery and then subjected to biochemical tests for tumor markers and 16S rDNA tests, respectively. SPSS (27.0.1) was applied to perform the t-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, and Chi-Squared Test. Also, the receiver operating characteristic curve (ROC) was plotted on tumor markers and/or f_Bacteroidaceae with SPSS software .Results:All groups had significant differences in the CA125 ( F=3.543, P<0.05), CA72-4 ( F=3.596, P<0.05), and serum tumor-associated materials (TAM) levels ( F=5.787, P<0.01). In PC group, the levels of CA125 [PC vs RC, (36.84±6.30) kU/L vs (12.73±4.21) kU/L, P<0.01] and CA72-4 [PC vs RC, (45.56±10.86) kU/L vs (3.30±7.63) kU/L, P<0.01] were significantly higher than that of the RC group, while the level of TAM was remarkably elevated in PC group than in RC group [PC vs RC, (124.84±5.19) U/ml vs (102.44±3.63) U/ml, P<0.001] and CRA group [PC vs CRA, (124.84±5.19) U/ml vs (95.39±8.42) U/ml, P<0.01]. The LEfSe analysis showed that the featured microbiota in the PC group included f_Bacteroidaceae, f_Neisseriaceae, f_Clostridiaceae_1, f_Spirochaetaceae, and so on. The largest area under the ROC belonged to the combination of TAM and f_Bacteroidaceae, which reached 0.845 (95% CI 0.747-0.944), with sensitivity being 0.857 and specificity being 0.815. Conclusions:There is heterogeneity in gut microbiota composition among PC, DC, RC, and CRA. The combination of gut microbiota and tumor biomarkers demonstrated good differentiating effects in proximal colon cancers.

Objective To screen and analyze the influencing factors of severity in the patients with type 2 diabetes mellitus (T2DM) complicating cerebral small vessel disease (CSVD).Methods A total of 519 pa-tients with T2DM complicating CSVD admitted and treated in Nanjing Municipal Hospital of Traditional Chi-nese Medicine from June 2018 to May 2023 were selected and divided into the mild group (n=214) and the se-vere group (n=305) according to the CSVD imageological score.The relevant demographic,laboratory and imageological indicators were collected.The influencing factors of T2DM complicating CSVD were screened out by the LASSO and Logistic regression analysis and the predictive model was established.The receiver op-erating characteristic (ROC) curve,goodness of fit evaluation and restricted cubic spline (RCS) fitting curve were drawn to analyze the dose-response relationship between Cys C,albumin/globulin (A/G) ratio with the disease severity.Results The male proportion and age in the severe group were greater than those in the mild group,neutrophil,systemic immune-inflammation index (SII),creatinine (Crea),uric acid (UA),Urea (Ure-a),D-dimer (D-D),lactate dehydrogenase (LDH),adenosine deaminase (ADA),globulin (GLB) and Cys C were higher than those in the mild group,lymphocyte,ALT,High density Lipoprotein-cholesterol (HDL-C),serum cholinesterase (CHE),prealbumin (PAB),and A/G were lower than those in the mild group,and the differences were statistically significant (P<0.05).LASSO and logistic regression analysis showed that the gender,age,A/G and Cys C were the independent influencing factors in the patients with T2DM complicating CSVD.The area under the curve (AUC) of this model was 0.658 (95%CI:0.610-0.706) with goodness of fit (P=0.520).The RCS fitting curves showed that serum Cys C≥0.618 mg/L had a linear relationship with CSVD imageological score (P=0.035),and A/G≥1.268 had a nonlinear relationship with CSVD imageologi-cal score (P=0.007).Conclusion The advanced age,male,increased Cys C level and decreased A/G in the pa-tients with T2DM complicating CSVD are the independent risk factors for the severity of whole brain damage.

Objective To screen the characteristic factors of renal impairment occurrence in the patients with hyperuricemia,and to analyze its diagnostic value and establish a diagnostic model.Methods A total of 2405 inpatients with diagnosed hyperuricemia in the Nanjing Municipal Hospital of Traditional Chinese Medi-cine,Nanjing University of Traditional Chinese Medicine from December 2018 to December 2022 were selected and divided into the kidney lesion group (n=1343) and the non-kidney lesion group (n=1062) according to eGFR.The characteristic factors of hyperuricemia caused renal impairment were screened and analyzed by Lasso and logistic regression and the diagnostic model was constructed.The diagnostic value of characteristic factors and diagnostic model were evaluated by the receiver operating characteristic (ROC) curve,and the change rule between the characteristic factors and the results was found by the restricted cubic splines (RCS) fitting.Results The age,uric acid (UA),cystatin-C (Cys-C) and retinol-binding protein (RBP) were the characteristic factors of hyperuricemia caused renal impairment.The combined diagnostic model:logit (P)=-8.70+0.602×age (10 years old)+0.033×UA (10 μmol/L)+0.277×Cys-C (0.1 mg/L)+0.189×RBP (10 mg/L),the area under the ROC curve (AUC) of the combined diagnosis model was 0.893 (95％CI:0.880-0.905).For every 10 μmol/L increase in blood UA,the risk of renal impairment occurrence in hyperurice-mia was increased by 3％;for every 10 years increase in age,the risk of renal impairment occurrence in hyperu-ricemia was increased by 83％;for every 10 mg/L increase in RBP,the risk of kidney damage occurrence of re-nal impairment in hyperuricemia was increased by 21％;for every 0.1 mg/L increase in Cys-C,the risk of re-nal impairment occurrence in hyperuricemia was increased by 32％.Conclusion The combined diagnostic model for whether the renal impairment in the patients with hyperuricemia occurring has good diagnostic val-ue,and Cys-C deserves more attention.

Humans ; May-Thurner Syndrome ; Coronary Restenosis ; Constriction, Pathologic/surgery* ; Stents/adverse effects* ; Iliac Vein ; Treatment Outcome ; Retrospective Studies

OBJECTIVE: To retrospectively analyze the clinical characteristics and prognostic factors of patients with primary cutaneous lymphoma. METHODS: The clinical data of 22 patients with primary cutaneous lymphoma admitted to Xinjiang Hotan District People's Hospital, Heji Hospital affiliated to Changzhi Medical College and the Fifth Medical Center of PLA General Hospital from January 2013 to June 2021 were retrospectively analyzed. RESULTS: The incidence of primary cutaneous T cell and NK/T cell lymphoma was about 91.9/100 000, and the incidence of primary cutaneous B cell lymphoma was about 14.5/100 000. The overall survival (OS) of patients aged ≥65 years was significantly shorter than that of patients younger than 65 years (P <0.05). Patients with elevated β₂-microglobulin (β₂-MG) had shorter OS and progression-free survival (PFS) (both P <0.05). Patients who achieved complete/partial response after initial treatment had longer OS than those with stable or progressive disease (P <0.05). There were significant differences in OS and PFS among patients with different pathological types of primary cutaneous lymphoma that originated from T and NK/T cells, the OS and PFS of patients with mycosis fungoides were longer than those of patients with other pathological types (both P <0.05). In addition, disease stage might also affect the PFS of the patients (P =0.056). CONCLUSION The age, disease stage, β₂-MG level, pathological type and remission state after treatment of the patients were related to the clinical prognosis.
Humans ; Prognosis ; Retrospective Studies ; Remission Induction ; Lymphoma

Objective To investigate the effect and mechanism of Qianggu Tongbi capsule on osteoarthritis factors in rats.Methods Osteoarthritis(OA)rat model was established by anterior cruciate ligament transection method.Rats were ran-domly divided into model group,Qianggu Tongbi capsule group and glucosamine group.HE staining was used to identify the model.Toluidine blue staining was used to observe the changes of cartilage.Real-time quantitative polymerase chain reaction(qRT-PCR)was applied to detect the expression of Toll-like receptors(TLR4)and nuclear factor kappa-B(NF-κB)in each group.The levels of IL-1β,TNF-α,and IL-6 were measured by the enzyme linked immunosorbent assay(ELISA)kit.The levels of TLR4 and p-NF-κB were detected by immunohistochemistry.Results HE staining showed that,compared with the control group,a large number of inflammatory cell infiltration and synovial tissue thickening were observed in the model group,while the inflammatory cell infiltration and synovial tissue thickening were not obvious in the Qianggu Tongbi capsule and glu-cosamine groups.Toluidine blue staining results showed that chondroitin sulfate in the cartilage tissue of the model group was significantly reduced compared with the control group,while levels of chondroitin sulfate in the Qianggu Tongbi capsule group and glucosamine group were significantly increased.Compared with control group,the expression and immunohistochemical re-sults of TLR4 and NF-κB,and the levels of IL-1β,TNF-α and IL-6 in model group were significantly increased(all P＜0.05).Compared with model group,the expression and immunohistochemical results of TLR4 and NF-KB,and the levels of IL-1β,TNF-α and IL-6 in Qianggu Tongbi capsule group and glucosamine group were significantly decreased(all P＜0.05).Conclusion Qianggu Tongbi capsule can inhibit expression of TLR4 and NF-κB by reducing the production of inflammatory factors to a-chieve the effect of treatmenting osteoarthritis.

Objective::To build a reference fetal growth chart for the Chinese population based on fetal ultrasound measurements.Methods::This was a multicenter, population-based retrospective cohort study. Longitudinal ultrasound measurement data were collected from 24 hospitals in 18 provinces of China from 1 st September through 31 st October of 2019. The estimated fetal weight (EFW) was calculated based on head circumference, abdominal circumference, and femur length using Hadlock formula 3. Fetal growth curves were estimated using a two-level linear regression model with cubic splines. All participants were divided into two groups: the northern group ( n = 5829) and the southern group ( n = 3246) based on the geographical division of China and male fetus group ( n = 4775) and female fetus group ( n = 4300) based on fetal gender. The EFW was compared by fetal gender and geographical group. All statistical models were adjusted for maternal sociodemographic characteristics. Results::A total of 9075 participants with 31,700 ultrasound measurement records were included in this study. Male fetuses demonstrated significantly larger EFW compared to female ones starting at 16 weeks of gestation and extending to delivery (global test P < 0.01). The overall geographic difference in EFW was significant (global test P = 0.03), and week-specific comparisons showed that the northern group had a greater EFW starting at 15 weeks of gestation and extending to 29 weeks of gestation, although this difference did not extend to the time of delivery. The Z-score of EFW confirmed that our Chinese fetal growth charts differed from previously published standards. Conclusion::This study provides EFW and ultrasound biometric reference measurements for Chinese fetuses and reveals differences from other fetal growth charts. The chart is worth promoting in more regions of China but should be tested prudently before use.

Objective::To build a reference fetal growth chart for the Chinese population based on fetal ultrasound measurements.Methods::This was a multicenter, population-based retrospective cohort study. Longitudinal ultrasound measurement data were collected from 24 hospitals in 18 provinces of China from 1 st September through 31 st October of 2019. The estimated fetal weight (EFW) was calculated based on head circumference, abdominal circumference, and femur length using Hadlock formula 3. Fetal growth curves were estimated using a two-level linear regression model with cubic splines. All participants were divided into two groups: the northern group ( n = 5829) and the southern group ( n = 3246) based on the geographical division of China and male fetus group ( n = 4775) and female fetus group ( n = 4300) based on fetal gender. The EFW was compared by fetal gender and geographical group. All statistical models were adjusted for maternal sociodemographic characteristics. Results::A total of 9075 participants with 31,700 ultrasound measurement records were included in this study. Male fetuses demonstrated significantly larger EFW compared to female ones starting at 16 weeks of gestation and extending to delivery (global test P < 0.01). The overall geographic difference in EFW was significant (global test P = 0.03), and week-specific comparisons showed that the northern group had a greater EFW starting at 15 weeks of gestation and extending to 29 weeks of gestation, although this difference did not extend to the time of delivery. The Z-score of EFW confirmed that our Chinese fetal growth charts differed from previously published standards. Conclusion::This study provides EFW and ultrasound biometric reference measurements for Chinese fetuses and reveals differences from other fetal growth charts. The chart is worth promoting in more regions of China but should be tested prudently before use.