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Clinical Ophthalmology (Auckland, N.Z.) 2024Demodex represents the most frequent ectoparasite found in humans. Although Demodex mites are considered commensals of human pilosebaceous units, an abnormally high mite... (Review)
Review
Demodex represents the most frequent ectoparasite found in humans. Although Demodex mites are considered commensals of human pilosebaceous units, an abnormally high mite density can cause several ocular and cutaneous symptoms and signs, sometimes to a severe degree. Both Demodex spp. ( and ) play a significant part in eye pathology and facial dermatoses. These mites have been related to blepharitis, ocular rosacea, meibomian gland dysfunction and various skin diseases, including rosacea, demodicosis and seborrheic dermatitis. Understanding the importance of Demodex in both eye and skin conditions is crucial for accurate diagnosis and appropriate management strategies, which may involve targeted treatments to control the mite population and reduce associated symptoms.
PubMed: 38948346
DOI: 10.2147/OPTH.S440199 -
Sichuan Da Xue Xue Bao. Yi Xue Ban =... May 2024To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results...
[Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service].
OBJECTIVE
To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service.
METHODS
Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive , the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the community health center. This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people.
RESULTS
A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM, including age, central obesity, smoking, physical inactivity, impaired fasting glucose, a reduced level of high-density lipoprotein cholesterol (HDL-C), hypertension, body mass index (BMI), triglyceride glucose (TYG) index, and a family history of diabetes, with the OR values and 95% confidence interval (CI) being 1.04 (1.03, 1.05), 1.55 (1.29, 1.88), 1.36 (1.11, 1.66), 1.26 (1.07, 1.49), 3.93 (2.94, 5.24), 1.14 (1.06, 1.23), 1.47 (1.34, 1.61), 1.11 (1.05, 1.18), 2.15 (1.75, 2.62), and 1.66 (1.55, 1.78), respectively, and the combined values being 0.039, 0.438, 0.307, 0.231, 1.369, 0.131, 0.385, 0.104, 0.765, and 0.507, respectively. A total of 37 studies reported the incidence rate, with the combined incidence being 0.08 (0.07, 0.09) and the parameter being -2.442 for the logistic model. The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7602 individuals who had medical checkups and were followed up for at least once. External validation results showed that the predictive model had an area under curve (AUC) of 0.794 (0.771, 0.816), accuracy of 74.5%, sensitivity of 71.0%, and specificity of 74.7% in the 7602 individuals.
CONCLUSION
The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.
Topics: Humans; Diabetes Mellitus, Type 2; Middle Aged; Aged; Risk Factors; Logistic Models; Female; Male; China; Cohort Studies; Public Health; Incidence
PubMed: 38948267
DOI: 10.12182/20240560502 -
Sichuan Da Xue Xue Bao. Yi Xue Ban =... May 2024Gallstone disease (GSD) is one of the common digestive tract diseases with a high worldwide prevalence. The effects of GSD on patients include but are not limited to the...
OBJECTIVE
Gallstone disease (GSD) is one of the common digestive tract diseases with a high worldwide prevalence. The effects of GSD on patients include but are not limited to the symptoms of nausea, vomiting, and biliary colic directly caused by GSD. In addition, there is mounting evidence from cohort studies connecting GSD to other conditions, such as cardiovascular diseases, biliary tract cancer, and colorectal cancer. Early identification of patients at a high risk of GSD may help improve the prevention and control of the disease. A series of studies have attempted to establish prediction models for GSD, but these models could not be fully applied in the general population due to incomplete prediction factors, small sample sizes, and limitations in external validation. It is crucial to design a universally applicable GSD risk prediction model for the general population and to take individualized intervention measures to prevent the occurrence of GSD. This study aims to conduct a multicenter investigation involving more than 90000 people to construct and validate a complete and simplified GSD risk prediction model.
METHODS
A total of 123634 participants were included in the study between January 2015 and December 2020, of whom 43929 were from the First Affiliated Hospital of Chongqing Medical University (Chongqing, China), 11907 were from the First People's Hospital of Jining City (Shandong, China), 1538 were from the Tianjin Medical University Cancer Institute and Hospital (Tianjin, China), and 66260 were from the People's Hospital of Kaizhou District (Chongqing, China). After excluding patients with incomplete clinical medical data, 35976 patients from the First Affiliated Hospital of Chongqing Medical University were divided into a training data set (=28781, 80%) and a validation data set (=7195, 20%). Logistic regression analyses were performed to investigate the relevant risk factors of GSD, and a complete risk prediction model was constructed. Factors with high scores, mainly according to the nomograms of the complete model, were retained to simplify the model. In the validation data set, the diagnostic accuracy and clinical performance of these models were validated using the calibration curve, area under the curve (AUC) of the receiver operating characteristic curve, and decision curve analysis (DCA). Moreover, the diagnostic accuracy of these two models was validated in three other hospitals. Finally, we established an online website for using the prediction model (The complete model is accessible at https://wenqianyu.shinyapps.io/Completemodel/, while the simplified model is accessible at https://wenqianyu.shinyapps.io/Simplified/).
RESULTS
After excluding patients with incomplete clinical medical data, a total of 96426 participants were finally included in this study (35876 from the First Affiliated Hospital of the Chongqing Medical University, 9289 from the First People's Hospital of Jining City, 1522 from the Tianjin Medical University Cancer Institute, and 49639 from the People's Hospital of Kaizhou District). Female sex, advanced age, higher body mass index, fasting plasma glucose, uric acid, total bilirubin, gamma-glutamyl transpeptidase, and fatty liver disease were positively associated with risks for GSD. Furthermore, gallbladder polyps, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and aspartate aminotransferase were negatively correlated to risks for GSD. According to the nomograms of the complete model, a simplified model including sex, age, body mass index, gallbladder polyps, and fatty liver disease was constructed. All the calibration curves exhibited good consistency between the predicted and observed probabilities. In addition, DCA indicated that both the complete model and the simplified model showed better net benefits than treat-all and treat-none. Based on the calibration plots, DCA, and AUCs of the complete model (AUC in the internal validation data set=74.1% [95% CI: 72.9%-75.3%], AUC in Shandong=71.7% [95% CI: 70.6%-72.8%], AUC in Tianjin=75.3% [95% CI: 72.7%-77.9%], and AUC in Kaizhou=72.9% [95% CI: 72.5%-73.3%]) and the simplified model (AUC in the internal validation data set=73.7% [95% CI: 72.5%-75.0%], AUC in Shandong=71.5% [95% CI: 70.4%-72.5%], AUC in Tianjin=75.4% [95% CI: 72.9%-78.0%], and AUC in Kaizhou=72.4% [95% CI: 72.0%-72.8%]), we concluded that the complete and simplified risk prediction models for GSD exhibited excellent performance. Moreover, we detected no significant differences between the performance of the two models (>0.05). We also established two online websites based on the results of this study for GSD risk prediction.
CONCLUSIONS
This study innovatively used the data from 96426 patients from four hospitals to establish a GSD risk prediction model and to perform risk prediction analyses of internal and external validation data sets in four cohorts. A simplified model of GSD risk prediction, which included the variables of sex, age, body mass index, gallbladder polyps, and fatty liver disease, also exhibited good discrimination and clinical performance. Nonetheless, further studies are needed to explore the role of low-density lipoprotein cholesterol and aspartate aminotransferase in gallstone formation. Although the validation results of the complete model were better than those of the simplified model to a certain extent, the difference was not significant even in large samples. Compared with the complete model, the simplified model uses fewer variables and yields similar prediction and clinical impact. Hence, we recommend the application of the simplified model to improve the efficiency of screening high-risk groups in practice. The use of the simplified model is conducive to enhancing the self-awareness of prevention and control in the general population and early intervention for GSD.
Topics: Humans; Gallstones; Female; Male; Risk Factors; Middle Aged; Risk Assessment; China; Adult; Aged
PubMed: 38948266
DOI: 10.12182/20240560501 -
PeerJ 2024Leaf inclination angle (LIA) and tillering impact the winter wheat ( L.) population canopy structure. Understanding their effects on water use (WU) parameters and yield...
Leaf inclination angle (LIA) and tillering impact the winter wheat ( L.) population canopy structure. Understanding their effects on water use (WU) parameters and yield can guide water-saving strategies through population control. In this study, six near-isogenic lines (NILs) and their parents were selected as materials. These special materials were characterized by varying tillering at the current sowing density, a similar genetic background, and, particularly, a gradient in mean flag leaf LIA. The investigation focused on the jointing to early grain-filling stage, the peak water requirement period of wheat crops. Population-scale transpiration (PT) and evaporation from the soil surface (E) were partitioned from total evapotranspiration (ET) by the means of micro-lysimeters. The results showed decreased PT, E, and ET with increased population density (PD) within a narrow density range derived from varying tillering across genotypes. Significant correlations existed between PD and ET, E, and PT, especially in the wettest 2017-2018 growing season. Within such narrow PD range, all the correlations between WU parameters and PD were negative, although some correlations were not statistically significant, thereby suggesting the population structure's predominant impact. No significant correlation existed between LIA and both ET and PT within the LIA range of 35°-65°. However, significant correlations occurred between LIA and E in two growing seasons. Genotypes with similar LIA but different PD produced varied ET; while with similar PD, the four pairs of genotypes with different LIA each consumed similar ET, thus highlighting PD's more crucial role in regulating ET. The yield increased with higher LIA, and showed a significant correlation, emphasizing the LIA's significant effect on yield. However, no correlation was observed with PD, indicating the minor effect of tillering at the current sowing density. Therefore these results might offer valuable insights for breeding water-saving cultivars and optimizing population structures for effective field water conservation.
Topics: Triticum; Plant Leaves; Plant Transpiration; Soil; Seasons; Water; Genotype
PubMed: 38948218
DOI: 10.7717/peerj.17618 -
Global Health & Medicine Jun 2024In response to the twin challenges of an aging population and declining birth rates, Zhejiang, China pioneered the concept of "fertility-friendly hospitals" in 2022 to...
In response to the twin challenges of an aging population and declining birth rates, Zhejiang, China pioneered the concept of "fertility-friendly hospitals" in 2022 to support families and individuals in navigating the complexities of childbirth. Although fertility-friendly hospitals have not yet scaled up in number, their potential benefits and the challenges they face are evident. These facilities aim to provide comprehensive services from preconception to postnatal care, necessitating a high level of specialization and resource allocation, with an emphasis on patient education and participatory decision-making. Currently, there is an uneven distribution of resources across regions in China, with the density of maternal and child health care facilities in developed areas exceeding that of less developed regions by more than tenfold. The establishment of fertility-friendly hospitals will help to slow the pace of population aging and mitigate further declines in birth rates, thereby balancing the population composition and promoting long-term equitable social development. However, they also face challenges in balancing resources, improving the quality of services, and improving accessibility across different regions. As the concept is promoted and practiced, fertility-friendly hospitals are expected to become a significant force supporting Chinas population policy.
PubMed: 38947407
DOI: 10.35772/ghm.2024.01027 -
Research Square Jun 2024Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only....
AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.
Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only. We examined whether new artificial intelligence (AI) algorithms applied to CAC scans may provide significant improvement in prediction of all cardiovascular disease (CVD) events in addition to CHD, including heart failure, atrial fibrillation, stroke, resuscitated cardiac arrest, and all CVD-related deaths. We applied AI-enabled automated cardiac chambers volumetry and automated calcified plaque characterization to CAC scans (AI-CAC) of 5830 individuals (52.2% women, age 61.7±10.2 years) without known CVD that were previously obtained for CAC scoring at the baseline examination of the Multi-Ethnic Study of Atherosclerosis (MESA). We used 15-year outcomes data and assessed discrimination using the time-dependent area under the curve (AUC) for AI-CAC versus the Agatston Score. During 15 years of follow-up, 1773 CVD events accrued. The AUC at 1-, 5-, 10-, and 15-year follow up for AI-CAC vs Agatston Score was (0.784 vs 0.701), (0.771 vs. 0.709), (0.789 vs.0.712) and (0.816 vs. 0.729) (p<0.0001 for all), respectively. The category-free Net Reclassification Index of AI-CAC vs. Agatston Score at 1-, 5-, 10-, and 15-year follow up was 0.31, 0.24, 0.29 and 0.29 (p<.0001 for all), respectively. AI-CAC plaque characteristics including number, location, and density of plaque plus number of vessels significantly improved NRI for CAC 1-100 cohort vs. Agatston Score (0.342). In this multi-ethnic longitudinal population study, AI-CAC significantly and consistently improved the prediction of all CVD events over 15 years compared with the Agatston score.
PubMed: 38947043
DOI: 10.21203/rs.3.rs-4433105/v1 -
Diabetes, Metabolic Syndrome and... 2024Non-alcoholic fatty liver disease (NAFLD) is characterized by abnormal lipid metabolism and inflammation. This study aimed to investigate the relationship between...
OBJECTIVE
Non-alcoholic fatty liver disease (NAFLD) is characterized by abnormal lipid metabolism and inflammation. This study aimed to investigate the relationship between neutrophil-HDL cholesterol ratio (NHR) and NAFLD in a healthy population.
METHODS
1881 healthy people who underwent a physical examination from August to December 2023 at the Hebei General Hospital were chosen for this cross-sectional study. 936 individuals were ultimately included thanks to propensity matching and exclusion criteria. Ultrasound was used to diagnose fatty liver and a -test or Mann-Whitney test was used to compare the clinical characteristics of participants between groups with and without fatty liver. Logistic regression was used to construct a new model that included NHR. The predictive value of NHR as well as the new model for NAFLD in a healthy population was assessed using logistic regression and subject work characteristic curves.
RESULTS
NHR levels were higher among participants in the NAFLD group than those without NAFLD(P<0.05). NHR is a risk factor for NAFLD in a healthy population(P<0.05). The odds ratios (ORs) of NHR for predicting NAFLD in Model I (adjusted for sex, age, and BMI) and Model II (adjusted for sex, age, BMI, HbA1c, TC, TG, and ALT) were 1.166 (1.022, 1.331) and 1.248 (1.110, 1.402)(P<0.05). The new model created by logistic regression predicted NAFLD with an area under the curve of 0.676 (0.645, 0.706). Compared to participants in the low NHR group, the high NHR group exhibited a higher prevalence of NAFLD(p<0.05).
CONCLUSION
NHR is associated with NAFLD, which is a good predictor of NAFLD in a healthy population.
PubMed: 38946914
DOI: 10.2147/DMSO.S464406 -
Clinica E Investigacion En... Jun 2024Comprehensive assessment of pharmacotherapy effects on atherogenic parameters (AP) that influence the risk of cardiovascular disease (CVD) is challenging due to...
BACKGROUND AND AIMS
Comprehensive assessment of pharmacotherapy effects on atherogenic parameters (AP) that influence the risk of cardiovascular disease (CVD) is challenging due to interactions among a large number of parameters that modulate CVD risk.
METHODS
We developed an illustrative tool, athero-contour (AC), which incorporates weighted key lipid, lipo- and glycoprotein parameters, to readily illustrate their overall changes following pharmacotherapy. We demonstrate the applicability of AC to assess changes in AP in response to saroglitazar treatment in patients with metabolic associated fatty liver disease (MAFLD) in the EVIDENCES IV study.
RESULTS
The baseline AC of saroglitazar and placebo groups was worse than the mean of the general population. After 16-week treatment, AC improved significantly in the saroglitazar group due to alterations in very low-density lipoprotein, triglyceride, and glycoproteins.
CONCLUSION
Using AC, we could readily and globally evaluate and visualize changes in AP. AC improved in patients with MAFLD following saroglitazar therapy.
PubMed: 38945785
DOI: 10.1016/j.arteri.2024.04.004 -
The Science of the Total Environment Jun 2024The mechanism underlying the effects of livestock grazing on grassland ecosystem traits has been greatly discussed. However, as a common small burrowing mammal on the...
The mechanism underlying the effects of livestock grazing on grassland ecosystem traits has been greatly discussed. However, as a common small burrowing mammal on the Tibetan Plateau grasslands, the plateau pika's (Ochotona curzoniae) influence on alpine grassland ecosystem traits has rarely been investigated, especially beyond the plot scale. In this study, we flew an unmanned aerial vehicle (UAV) over a grassland landscape under grazing and nongrazing treatments. Mounted visible spectral remote sensing, in combination with field surveys, was utilized to explore how livestock and pika grazing modify grassland ecosystem traits at the landscape scale on the Tibetan Plateau (TP). Using object-oriented classification and partial least squares regression, we retrieved the pika burrow distribution and grassland ecosystem traits. Then, the relationships among livestock grazing, pika burrowing and ecosystem traits were evaluated. The results indicated that livestock grazing reduces the alpine meadow community height by 0.13 cm and the species number by 0.25 while increasing the vegetation coverage by 9.69 % and the aboveground biomass (AGB) by 10.07 g/m. A lower statue grassland community with greater coverage caused by livestock grazing promotes pika burrowing. Pika burrow density increases 100/ha per 1.70 % increase in vegetation coverage, a 1.87 g/m increase in AGB or a 0.08 m decrease in community height. Under livestock grazing, both community structure and nutrients are more strongly associated with pika burrow density. The structural equation model demonstrated that livestock grazing regulates pika burrow density by moderating structural value and subsequently affecting nutritional value. Pika burrowing activity explains 40 % of the total variation in nutritional value. Our findings revealed an intrinsic linkage between mammal activities and alpine grassland ecosystems, which can provide guidelines for grassland management through pika population control by adjusting grazing intensity on the TP.
PubMed: 38945235
DOI: 10.1016/j.scitotenv.2024.174356 -
Mymensingh Medical Journal : MMJ Jul 2024Metabolic Syndrome (METS) plays a pivotal role in the development of diabetes mellitus, coronary artery diseases and stroke. Due to the scarcity of data in this issue,...
Metabolic Syndrome (METS) plays a pivotal role in the development of diabetes mellitus, coronary artery diseases and stroke. Due to the scarcity of data in this issue, this study aims to assess the frequency and risk factors association of METS among the hypertensive patients. This cross-sectional study recruited 667 eligible hypertensive patients aged between 20 and 70 years using non-probability purposive sampling method conducted from 1st January 2019 to 30th June 2019. Hypertensive patients with the known history of diabetes, thyroid, renal, cardiac, or hepatic disease, Cushing syndrome or malignancy and secondary causes of obesity, confirmed pregnancy, bed ridden, taking lipid lowering drugs or drugs that affect lipid and glucose metabolism were excluded from the study. METS among the hypertensive patients (DE novo or established hypertensive patients) of this study was demonstrated by NCEP-ATPIII (National Cholesterol Education Program-Adult Treatment Panel III) criteria having two or more of the following points [a) increased waist circumference ≥102cm in men and ≥88cm in women, b) hypertriglyceridemia: ≥150mg/dl, c) reduced High density lipoprotein cholesterol (HDL-C) <40mg/dL (1.04mmol/L) in men and <50mg/dL (1.29mmol/L) in women, d) high fasting blood glucose: 110mg/dl]. Significantly high frequency (69.9%, p<0.001) of METS was found with a significant female preponderance (52.5%, p<0.001) where the mean age of the study population was 48±11 years. Sex (p<0.001), education (p=0.041), occupation (p<0.001), Body mass index (BMI) (p<0.001) and hypertensive status (p=0.002) showed a highly significant role in the development of METS. Following binary logistic regression analysis after adjusting for confounders, the female sex was 17 times higher than the male [Adjusted odd ratio (AOR) =16.96, 95% CI=4.91-58.66, p<0.001)], obesity 4 times higher than non-obese [BMI (obese AOR=4.24, 95% CI=2.55-7.98, p<0.001)], hypertensive status [established hypertension two times higher than de novo (de-novo AOR=0.60, 95% CI=0.037-0.97, p=0.037)] were significant and independent predictors of METS. Significantly high BMI (27.7±4.2 and p<0.001), high waist circumference (60.4%, p<0.001) and hyper tri-glyceridaemia and reduced HDL (46.0%, p<0.001 and 51.3%, p<0.001) were found in the subjects with METS. In conclusion, high frequency of METS among the hypertensive patients was found in Jashore, Bangladesh with significant risk factors related to female sex, education, occupation, BMI and hypertensive status. So, a holistic evaluation of metabolic components among the hypertensive patients may reduce premature cardiovascular morbidity and mortality.
Topics: Humans; Female; Male; Middle Aged; Metabolic Syndrome; Hypertension; Cross-Sectional Studies; Adult; Bangladesh; Risk Factors; Aged; Waist Circumference
PubMed: 38944728
DOI: No ID Found