Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

OBJECTIVE: To evaluate the efficacy and safety of a hospital-made resuscitation pack, a Chinese medicinal herbal compound formula designed to enhance recovery in post-bronchoscopy patients. METHODS: In this randomized, single-blind, placebo-controlled clinical trial, eligible patients were randomly assigned 1:1 to either the treatment or control groups. The patients in the treatment group applied the resuscitation pack, which contained aromatic compounded Chinese herbs. The patients in the control group applied a hospital-made, single herb placebo pack. Packs were placed on the Tiantu (CV 22) acupuncture point for 4 h as soon as the bronchoscopy finished. Efficacy indicators, such as recovery time, patients' symptoms including nausea and dizziness, and adverse events (AEs) were observed and compared. The outcome indices were evaluated at baseline, 1 and 24 h after the bronchoscopy. Subgroup analysis was further performed by patients' age and depth of sedation. RESULTS: When applying generalized estimating equations (GEE) to evaluate the intensity of post-bronchoscopy nausea and vomiting, the intensity was lower in the treatment group (163 cases) compared with the control group (162 cases; 95% CI: 0.004, 0.099, P=0.03]. Also, significantly lower intensity of nausea was observed in the 60-70 years of age subgroup (95% CI: 0.029, 0.169, P=0.006) and deep sedation subgroup (95% CI: 0.002, 0.124; P=0.04). There was no significant difference in dizziness between two groups by GEE (95% CI: -0.134, 0.297; P=0.459). In addition, no serious AEs were observed in either group. CONCLUSIONS Our study found that the resuscitation pack markedly improved patients' symptoms by reducing nausea and vomiting after bronchoscopy without AEs, compared with placebo in the perioperative period. (Trial registration No. ChiCTR2000038299).
Humans ; Male ; Middle Aged ; Female ; Bronchoscopy/adverse effects* ; Single-Blind Method ; Aged ; Drugs, Chinese Herbal/adverse effects* ; Treatment Outcome ; Resuscitation ; Adult ; Medicine, Chinese Traditional

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To observe the clinical efficacy of Sanjiao Tiaoqi Acupuncture in the treatment of post-stroke respiratory dysfunction.Methods Seventy-two patients with post-stroke respiratory dysfunction were randomly divided into observation group and control group,36 cases in each group.The control group was given routine treatment,and the observation group was treated with Sanjiao Tiaoqi Acupuncture on the basis of the control group,both groups were treated for 14 consecutive days.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of white blood cell count(WBC),C-reactive protein(CRP)and clinical pulmonary infection score(CPIS)were observed before and after treatment.The changes of diaphragmatic activity were compared before and after treatment between the two groups.Results(1)After treatment,the WBC and CRP levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the WBC and CRP levels,with statistically significant differences(P＜0.05).(2)After treatment,the CPIS scores of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving CPIS scores,with a statistically significant difference(P＜0.05).(3)After treatment,the diaphragm mobility of patients in the two groups was significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving diaphragm mobility,and the difference was statistically significant(P＜0.05).(4)The total effective rate was 91.67％(33/36)in the observation group and 75.00％(27/36)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Sanjiao Tiaoqi Acupuncture for post-stroke respiratory dysfunction can significantly promote the absorption of inflammatory factors in patients and improve diaphragm mobility,with remarkable clinical efficacy.

Q fever is a zoonotic disease caused by Coxiella burnetii,with diverse and non-specific clinical manifes-tations.Intracranial infection caused by Coxiella burnetii is rare and is often misdiagnosed and underdiagnosed,leading to poor prognosis in some patients.This article reports a case of central nervous system intracranial infec-tious vasculitis caused by Coxiella burnetii through diagnosis assisted by metagenomic next-generation sequencing(mNGS)technique,indicating that mNGS technique plays an important role in rapid diagnosis of Q fever.After early diagnosis and precise treatment,the prognosis of patient was improved significantly.On this basis,relevant literatures at home and abroad are reviewed to summarize the clinical manifestations as well as diagnosis and treatment experience of intracranial infection caused by Coxiella burnetii,providing reference for domestic and foreign peers.

This study established an efficient and specific method for type analysis of genetic variants of Balantioides coli.The restriction endonucleases ApoI and PflMI were selected to digest the PCR amplification products of ITS1-5.8S rDNA-ITS2 of B.coli,and to establish a PCR-RFLP typing method.The PCR-RFLP method was subsequently used to analyze the genetic variants in clinical fecal samples from pigs,sheep,and guinea pigs.The PCR-RFLP method based on ApoI and PflMI accurately distinguished the main A and B genetic variants of B.coli,and further divided the main B type into B-c and B-t sub-types of genetic variants with PflMI.Compared with the results of microscopy and sequencing,the PCR-RFLP method showed good specificity and higher sensitivity,and was able to identify not only single but also multiple variants of B.coli in a single clinical sample.This study successfully established the PCR-RFLP method for B.coli,which can be used for genetic di-versity identification and molecular epidemiological studies of B.coli.

This study was aimed at examining the influence of meteorological factors on scrub typhus in Xiamen.Scrub ty-phus monitoring data and meteorological factors were collected in Xiamen from 2005 to 2023.Spearman correlation analysis and nonlinear regression were used to analyze the correlation between scrub typhus incidence and meteorological factors.The inci-dence of scrub typhus first increased and subsequently decreased in Xiamen from 2005 to 2023.The highest incidence was be-tween 2014 and 2016,and the peak incidence was from June to October.The monthly incidence of scrub typhus positively cor-related with daily minimum temperature(r=0.637,P＜0.001,daily average temperature(r=0.627,P＜0.001),daily maxi-mum temperature(r=0.612,P＜0.001),sunshine duration(r=0.405,P＜0.001),average relative humidity(r=0.346,P＜0.001),and daily rainfall(r=0.207,P=0.002),and negatively correlated with average atmospheric pressure(r=-0.549,P＜0.001),whereas no correlation was observed with the average wind speed in Xiamen.The regression equation of scrub ty-phus monthly incidence and meteorological parameters was y=-433.869-11.503x1+0.381x1 2+9.150x2-0.197x2 2+3.936 x3-0.132x3 2+0.881x4+0.035x4 2-1.048x5+0.009x5 2+0.186x6-0.023x6 2+0.421x7+6.210×10-5x8-1.051 × 10-10x8 2 in Xiamen,and the R2 was 0.473,thus indicating good model fit.Scrub typhus incidence correlated with the daily minimum av-erage temperature,average temperature,daily maximum tem-perature,sunshine duration,daily rainfall,relative humidity,and average atmospheric pressure in Xiamen.Various meteoro-logical factors had differing effects on scrub typhus.

Objective: To analyze the trends of the age of menarche among Chinese Han girls aged 9 to 18 years from 2010 to 2019. Methods: Data were extracted from the Chinese National Surveys on Students' Constitution and Health in 2010, 2014 and 2019. A total of 253 037 Han girls aged 9 to 18 years with complete data on menarche were selected in this study. They were asked one-on-one about their menstrual status, age and residence information. The median age of menarche was estimated by probability regression. U tests were used to compare the difference in median age at menarche in different years. Results: The median age at menarche (95%CI) among Chinese Han girls was 12.47 (12.09-12.83) years in 2010, 12.17 (11.95-12.38) years in 2014 and 12.05 (10.82-13.08) years in 2019, respectively. Compared with that in 2010, the median age at menarche in 2019 decreased by 0.42 years (U=-77.27, P<0.001). The annual average changes were-0.076 years from 2010 to 2014 (U=-57.19, P<0.001) and-0.023 years from 2014 to 2019 (U=-21.41, P<0.001), respectively. The average annual changes in urban areas in the periods of 2010 to 2014 and 2014 to 2019 were-0.071 years and 0.006 years, respectively, while those in rural areas were-0.082 years and-0.053 years, respectively. The average annual changes in the regions of north, northeast, east, south central, southwest and northwest were-0.064, -0.099, -0.091, -0.080, -0.096 and-0.041 years in the period of 2010 to 2014 and 0.001, -0.040, -0.002, -0.005, -0.043 and-0.081 years in the period of 2014 to 2019. Conclusion: The age of menarche among Chinese Han girls aged 9 to 18 years shows an advanced trend from 2010 to 2019, and the trends in urban and rural areas and different regions have different characteristics.

Objective: To analyze the long-term trend of the age of spermarche among Chinese Han boys aged 11 to 18 from 2010 to 2019 and its association with nutritional status. Methods: The data from Chinese National Surveys on Students' Constitution and Health in 2010, 2014 and 2019 were used. The age, residence and spermarche of the participants were collected by questionnaire, and their height and weight were measured. A total of 184 633 Han boys aged 11‒18 years with complete data on spermarche, height, and weight were included in this study. The probability regression method was used to calculate the median age (95%CI) at spermarche in different areas, and the trend of age at spermarche in different groups was compared. The multivariate logistic regression model was used to analyze the association between nutritional status and spermarche of Chinese Han boys aged 11‒18 years. Results: The median age of spermarche (95%CI) was 13.85 (13.45-14.22) years old among Chinese Han boys aged 11‒18 years in 2019, with 0.18 years earlier than that in 2010. The median age at spermarche in urban and rural boys was 13.89 and 13.81 years, respectively. Compared with that in 2010, the age at spermarche in urban and rural boys was 0.08 and 0.27 years earlier, respectively. After adjusting for age, province and urban/rural areas, compared with normal weight, spermarche was negatively associated with wasting and positively associated with overweight and obesity, with OR (95%CI) about 0.73 (0.67-0.80), 1.09 (1.02-1.17) and 1.09 (1.01-1.18), respectively. Conclusion: The age of spermarche generally shows an advanced trend among Chinese Han boys and is associated with nutritional status.