BACKGROUND: The American Heart Association recently released a new cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the association between LE8 scores and the risk of chronic kidney disease (CKD) remains uncertain. We aimed to explore the association of LE8 scores with new-onset CKD and examine whether socioeconomic deprivation and genetic risk modify this association. METHODS: A total of 286,908 participants from UK Biobank and without prior CKD were included between 2006 and 2010. CVH was categorized using LE8 scores: low (LE8 scores <50), moderate (LE8 scores ≥50 but <80), and high (LE8 scores ≥80). The study outcome was new-onset CKD, ascertained by data linkage with primary care, hospital inpatient, and death data. Cox proportional hazard regression models were used to investigate the association between CVH categories and new-onset CKD. RESULTS: During a median follow-up of 12.5 years, 8857 (3.1%) participants developed new-onset CKD. Compared to the low CVH group, the moderate (adjusted hazards ratio [HR], 0.50; 95% confidence interval [CI]: 0.47-0.53) and high CVH (adjusted HR, 0.31; 95% CI: 0.27-0.34) groups had a significantly lower risk of developing new-onset CKD. The population-attributable risk associated with high vs. intermediate or low CVH scores was 40.3%. Participants who were least deprived ( vs.  most deprived; adjusted HR, 0.75; 95% CI: 0.71-0.79) and with low genetic risk of CKD ( vs.  high genetic risk; adjusted HR, 0.89; 95% CI: 0.85-0.94) had a significantly lower risk of developing new-onset CKD. However, socioeconomic deprivation and genetic risks of CKD did not significantly modify the relationship between LE8 scores and new-onset CKD (both P -interaction >0.05). CONCLUSION Achieving a higher LE8 score was associated with a lower risk of developing new-onset CKD, regardless of socioeconomic deprivation and genetic risks of CKD.
Humans ; Renal Insufficiency, Chronic/epidemiology* ; Male ; Female ; Middle Aged ; Genetic Predisposition to Disease/genetics* ; Aged ; Risk Factors ; Adult ; Proportional Hazards Models ; Socioeconomic Factors

Urticarial vasculitis is a skin disease with urticaria-like lesions and a histopathological pattern of leukocytoclastic vasculitis. It is considered a "hidden rash" in traditional Chinese medicine. Xuanfu is the portal that regulates qi, blood, fluid, and the ascending, descending, exiting, and entering of nutrition qi and defensive qi. Collaterals are the pathways for the circulation of qi and blood. The two accompany each other, connecting zang-fu organs, reaching the surfaces of the skin, hair, and external body, circulating qi and fluid, and moistening and protecting the skin. Based on the theory of Xuanfu-collateral, this study aimed to clarify the etiology, pathogenesis, and treatment method of urticarial vasculitis. External assault by wind and Xuanfu blockage are believed to be the initiating factors of this disease. The malnutrition of Xuanfu and collaterals and accumulated dampness-heat are important links in the occurrence and development of urticarial vasculitis. It spreads from Xuanfu to the collaterals, and blockage of the collaterals is the immanent trend of this disease. Clinically, by closely adhering to the core pathogenesis of blockage of Xuanfu-collateral, treatment method such as using wind medicinals to open Xuanfu with pungent and dispersing properties, using the method of supplement deficiency and removing the blockage, and using medicinals to promote blood circulation and remove blood stasis to unblock the blocked collaterals. The herbs are flexibly added or subtracted to unblock Xuanfu and collaterals, harmonize qi and blood, thus all symptoms can be relieved. We hope that this study will provide new ideas for the treatment of urticarial vasculitis with traditional Chinese medicine.

Multimorbidity has become a widely recognized public health problem worldwide. Identifying multimorbidity patterns can improve not only the efficiency of healthcare resource utilization but also patients' prognosis. This article summarizes three common approaches for the identification of multimorbidity patterns: association analysis methods (including association rule mining and network analysis), classification methods (including cluster analysis, latent class analysis, and latent transition analysis), and dimensionality reduction and feature extraction methods (including principal component analysis, factor analysis, and multiple correspondence analysis), introduces the application of these methods using data from the UK Biobank to identify multimorbidity patterns and discusses and compares the results of case analysis to provide reference for the selection of appropriate methods for multimorbidity pattern research.

Objective:To analyze the correlation between thymus dose-volume parameters and lymphopenia in patients with early-stage breast cancer (BC) receiving adjuvant radiotherapy (RT).Methods:Medical records of 54 patients with early-stage BC who received postoperative adjuvant RT in the Second Affiliated Hospital of Soochow University from January to December 2019 were retrospectively analyzed. Absolute lymphocyte counts (ALC) were collected at 1 month before (baseline) and weekly during RT. Lymphopenia was graded based according to the common terminology criteria for adverse events version 5.0 and nadir/baseline ALC was calculated. The thymus was delineated according to anatomical boundaries in the original RT planning system. Dosimetric parameters were obtained from the dose volume histograms. Stepwise multiple linear regression analysis was used to explore the factors associated with nadir/baseline ALC. The cutoff values of dosimetric parameters for predicting ≥grade 3 lymphopenia were obtained using the receiver operating characteristic (ROC) curve.Results:The proportion of 54 patients experiencing ≥ grade 3 lymphopenia was 38.9%. The median value of thymus volume, mean dose, V 5 Gy, V 10 Gy were 14.02 cm 3, 4.95 Gy, 36.18%, and 6.61%, respectively. Stepwise multiple linear regression analysis revealed that baseline ALC ( P=0.005), quadrant location ( P=0.005) and mean thymus dose ( P<0.001) were significantly associated with nadir/baseline ALC. ROC curve analysis indicated that the cutoff values of thymus mean dose, V 5 Gy and V 10 Gy for predicting ≥ grade 3 lymphopenia were 6.12 Gy, 35.2%, and 7.4%, respectively. Conclusions:Lymphopenia in early-stage BC patients is significantly correlated with high dosimetric parameters of the thymus during postoperative adjuvant RT. Thymus may be considered as an organ at risk during RT.

Objective To construct a logistic regression prediction model for stress ulcer(SU)after cerebral hemorrhage.Methods A total of 230 patients with cerebral hemorrhage admitted to our hospital from January 2020 to January 2023 were prospectively selected as the study subjects.They were randomly di-vided into a training group and a validation group using a random number table method,with 115 patients in each group.The incidence of postoperative SU was statistically compared between the two groups.The least absolute shrinkage and selection operator(Lasso)and logistic regression were used to analyze the influencing factors of SU after cerebral hemorrhage,and a logistic regression prediction model was established and valida-ted.Results The incidence of SU was 19.13%in the training group and 20.00%in the validation group.In-crement of age,blood loss≥30 mL,higher levels of neutrophil-to-lymphocyte ratio(NLR),heat shock protein 70(HSP70)and HSP90 were identified as independent risk factors for SU after cerebral hemorrhage(P<0.05),while lower levels of Glasgow Coma Scale(GCS)score and albumin(Alb)were protective factors(P<0.05).The prediction model was logit(P)=0.409×age+1.288×blood loss-1.335×GCS score-1.126×Alb+0.452×NLR+1.483×HSP70+1.593×HSP90-10.325.The areas under the receiver operat-ing characteristic(ROC)curve(AUC)for the training group and the validation group were 0.845(95%CI:0.765-0.906)and 0.855(95%CI:0.777-0.913),respectively.The sensitivities were 81.82%and 90.91%,and the specificities were 76.34%and 70.97%,respectively.Conclusion A logistic regression prediction model was successfully constructed,which has certain predictive value for SU after cerebral hemorrhage.

Multimorbidity has become a widely recognized public health problem worldwide. Identifying multimorbidity patterns can improve not only the efficiency of healthcare resource utilization but also patients' prognosis. This article summarizes three common approaches for the identification of multimorbidity patterns: association analysis methods (including association rule mining and network analysis), classification methods (including cluster analysis, latent class analysis, and latent transition analysis), and dimensionality reduction and feature extraction methods (including principal component analysis, factor analysis, and multiple correspondence analysis), introduces the application of these methods using data from the UK Biobank to identify multimorbidity patterns and discusses and compares the results of case analysis to provide reference for the selection of appropriate methods for multimorbidity pattern research.

Objective:To analyze the correlation between thymus dose-volume parameters and lymphopenia in patients with early-stage breast cancer (BC) receiving adjuvant radiotherapy (RT).Methods:Medical records of 54 patients with early-stage BC who received postoperative adjuvant RT in the Second Affiliated Hospital of Soochow University from January to December 2019 were retrospectively analyzed. Absolute lymphocyte counts (ALC) were collected at 1 month before (baseline) and weekly during RT. Lymphopenia was graded based according to the common terminology criteria for adverse events version 5.0 and nadir/baseline ALC was calculated. The thymus was delineated according to anatomical boundaries in the original RT planning system. Dosimetric parameters were obtained from the dose volume histograms. Stepwise multiple linear regression analysis was used to explore the factors associated with nadir/baseline ALC. The cutoff values of dosimetric parameters for predicting ≥grade 3 lymphopenia were obtained using the receiver operating characteristic (ROC) curve.Results:The proportion of 54 patients experiencing ≥ grade 3 lymphopenia was 38.9%. The median value of thymus volume, mean dose, V 5 Gy, V 10 Gy were 14.02 cm 3, 4.95 Gy, 36.18%, and 6.61%, respectively. Stepwise multiple linear regression analysis revealed that baseline ALC ( P=0.005), quadrant location ( P=0.005) and mean thymus dose ( P<0.001) were significantly associated with nadir/baseline ALC. ROC curve analysis indicated that the cutoff values of thymus mean dose, V 5 Gy and V 10 Gy for predicting ≥ grade 3 lymphopenia were 6.12 Gy, 35.2%, and 7.4%, respectively. Conclusions:Lymphopenia in early-stage BC patients is significantly correlated with high dosimetric parameters of the thymus during postoperative adjuvant RT. Thymus may be considered as an organ at risk during RT.

In order to realize the diagnosis of slit lamp in cross-regional patients and improve the real-time and convenience of diagnosis,a remote slit lamp diagnosis platform based on Internet of Things(IoT)technology is designed.Firstly,the feasibility of remote slit lamp is analyzed.Secondly,the IoT platform architecture of doctor/server/facility(D/S/F)is proposed and a remote slit lamp is designed.Finally,the performance of the remote slit lamp diagnostic platform is tested.The platform solves the communication problem of distributed slit lamps and realizes respectively numerical control of multi-area slit lamp by multi-eye experts.The test results show that the remote control delay of the platform is less than 20 ms,which supports multiple experts to diagnose multiple patients separately.

Background::Whether functional gastrointestinal disorders (FGIDs) are associated with the long-term risk of chronic kidney disease (CKD) remains unclear. We aimed to investigate the prospective association of FGIDs with CKD and examine whether mental health mediated the association.Methods::About 416,258 participants without a prior CKD diagnosis enrolled in the UK Biobank between 2006 and 2010 were included. Participants with FGIDs (including irritable bowel syndrome [IBS], dyspepsia, and other functional intestinal disorders [FIDs; mainly composed of constipation]) were the exposure group, and non-FGID participants were the non-exposure group. The primary outcome was incident CKD, ascertained from hospital admission and death registry records. A Cox proportional hazard regression model was used to investigate the association between FGIDs and CKD, and the mediation analysis was performed to investigate the mediation proportions of mental health.Results::At baseline, 33,156 (8.0%) participants were diagnosed with FGIDs, including 21,060 (5.1%), 8262 (2.0%), and 6437 (1.6%) cases of IBS, dyspepsia, and other FIDs, respectively. During a mean follow-up period of 12.1 years, 11,001 (2.6%) participants developed CKD. FGIDs were significantly associated with a higher risk of incident CKD compared to the absence of FGIDs (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.28–1.44). Similar results were observed for IBS (HR, 1.27; 95% CI, 1.17–1.38), dyspepsia (HR, 1.30; 95% CI, 1.17–1.44), and other FIDs (HR, 1.60; 95% CI, 1.43–1.79). Mediation analyses suggested that the mental health score significantly mediated 9.05% of the association of FGIDs with incident CKD and 5.63–13.97% of the associations of FGID subtypes with CKD. Specifically, the positive associations of FGIDs and FGID subtypes with CKD were more pronounced in participants with a high genetic risk of CKD.Conclusion::Participants with FGIDs had a higher risk of incident CKD, which was partly explained by mental health scores and was more pronounced in those with high genetic susceptibility to CKD.

BACKGROUND/OBJECTIVES: Activating brown adipose tissue (BAT) and browning of white adipose tissue (WAT) can protect against obesity and obesity-related metabolic conditions.Cryptotanshinone (CT) regulates lipid metabolism and significantly ameliorates insulin resistance. Adenosine-5'-monophosphate (AMP)-activated protein kinase (AMPK), a receptor for cellular energy metabolism, is believed to regulate brown fat activity in humans.MATERIALS/METHODS: The in vivo study included high-fat-fed obese mice administered orally 200/400 mg/kg/d CT. They were evaluated through weight measurement, the intraperitoneal glucose tolerance test (IPGTT), intraperitoneal insulin tolerance test (IPITT), cold stimulation test, serum lipid (total cholesterol, triglycerides, and low-density lipoprotein) measurement, hematoxylin and eosin staining, and immunohistochemistry.Furthermore, the in vitro study investigated primary adipose mesenchymal stem cells (MSCs) with incubation of CT and AMPK agonists (acadesine)/inhibitor (Compound C).Cells were evaluated using Oil Red O staining, Alizarin red staining, flow cytometry, and immunofluorescence staining to identify and observe the osteogenic versus adipogenic differentiation. Quantitative real-time polymerase chain reaction and the Western blot were used to observe related gene expression. RESULTS: In the diet-induced obesity mouse model mice CT suppressed body weight, food intake, glucose levels in the IPGTT and IPTT, serum lipids, the volume of adipose tissue, and increased thermogenesis, uncoupling protein 1, and the AMPK pathway expression. In the in vitro study, CT prevented the formation of lipid droplets from MSCs while activating brown genes and the AMPK pathway. AMPK activator enhanced CT’s effects, while the AMPK inhibitor reversed the effects of CT. CONCLUSION CT promotes adipose tissue browning to increase body thermogenesis and reduce obesity by activating the AMPK pathway. This study provides an experimental foundation for the use of CT in obesity treatment.