Comorbid Risk Factors Research Articles

Genetic and clinical risk factors for stroke recurrence with different impact by assessment age: data from the UK Biobank

Abstract Background The predictive utility of genetic risk factors added to clinical risk factors for stroke recurrence is unclear. Furthermore, whether those predictive utility change in different age groups is uncertain. This study aimed to compare the association of genetic and clinical risk factors with recurrent stroke. Methods Data were collected from 5,378 patients with a history of stroke from the UK Biobank. Cox proportional hazards regression models were used to assess the associations of genetic, demographic, lifestyle, and comorbidity risk factors with stroke recurrence, both in overall and three age-based groups. Results Over a median follow-up of 11.5 (interquartile range [IQR] 10.6–12.3) years, 417 patients had recurrent stroke. The hazard ratio (HR) for recurrent stroke was most pronounced for diabetes mellitus (HR 2.28, 95% confidence interval [CI] 1.83-2.86). Additionally, current smoking, hypertension, age, and polygenic risk score for ischemic stroke (stroke PRS) were also significantly associated with recurrent stroke. Based on concordance index (C-index, 95% CI), the strongest predictors were diabetes mellitus (0.578, 0.556-0.599) followed by age, hypertension and stroke PRS. However, the stroke PRS (0.577, 0.527-0.627) was the strongest predictor in the younger 1/3 patient group (median age 54, IQR 50-57). In addition to demographic, lifestyle, and comorbidity risk factors, genetic risk factor improved C-index of the prediction model from 0.640 (0.592-0.688) to 0.652 (0.602-0.703) in the younger group. Conclusions Recurrent stroke is significantly associated with genetic and clinical risk factors. Genetic risk factor enhances the predictive model`s accuracy, particularly in younger patients.Prediction of stroke recurrence

Racial disparities in access to, and outcomes of, acute ischaemic stroke treatments in the USA

BackgroundRacism contributes to higher comorbid risk factors and barriers to preventive measures for black Americans. Advancements in systems of care, tissue plasminogen activator (tPA) availability and endovascular thrombectomy (ET) have...

Structure of comorbidity and main risk factors for myocardial infarction in young patients

Structure of comorbidity and main risk factors for myocardial infarction in young patients

Retrospective Analysis of Onychomycosis Risk Factors Using the 2003-2014 National Inpatient Sample.

Onychomycosis, a fungal nail infection, is associated with significant morbidity and negative impact on quality of life. Therefore, understanding associated risk factors may inform onychomycosis screening guidelines. This retrospective study investigated common demographic and comorbidity risk factors among hospitalized patients using the National Inpatient Sample. The 2003-2014 National Inpatient Sample (NIS) database was used to identify onychomycosis cases and age and sex matched controls in a 1:2 ratio. Chi-square tests and T-tests for independent samples were utilized to compare categorical and continuous patient factors. Demographic and comorbidity variables significant (P < 0.05) on univariate analysis were analyzed via a multivariate regression model with Bonferroni correction (P < 0.0029). 119,662 onychomycosis cases and 239,324 controls were identified. Compared to controls, onychomycosis patients frequently were White (69.0% versus 68.0%; P < 0.001), Black (17.9% versus 5.8%; P < 0.0001), and insured by Medicare or Medicaid (80.1% versus 71.1%; P < 0.0001). Patients had greater hospital stays (9.69 versus 5.39 days; P < 0.0001) and costs ($39,925 versus $36,720; P < 0.001) compared to controls. On multivariate analysis, onychomycosis was commonly associated with tinea pedis (odds ratio [OR]: 111.993; P < 0.0001), human immunodeficiency virus (OR: 4.372; P < 0.001), venous insufficiency (OR: 6.916; P < 0.0001), and psoriasis (OR: 3.668; P < 0.001). Onychomycosis patients had longer hospital stays and greater costs compared to controls. Black patients were disproportionately represented among cases compared to controls. Onychomycosis was associated with tinea pedis, venous insufficiency, human immunodeficiency virus, psoriasis, obesity (body mass index [BMI] ≥ 30 kg/m2), peripheral vascular disease, and diabetes with chronic complications, suggesting that inpatients with onychomycosis should be screened for these conditions.

The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study

PurposeThis study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model.MethodBasic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes.ResultsAmong the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were "liver-heart-metabolic", "liver-kidney", "liver-lung", and "liver-stomach-arthritic". In the eastern region, important combination patterns included "liver disease-metabolic disease", "liver disease-stomach disease", and "liver disease-arthritis", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included "liver disease-heart disease", "liver disease-metabolic disease", and "liver disease-kidney disease", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were "liver disease-chronic lung disease", "liver disease-stomach disease", "liver disease-heart disease", and "liver disease-arthritis", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities.ConclusionThe comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

19 Influence of Co-morbid Modifiable Risk Factors on Adipose-Derived Stem Cell Paracrine Factors in Burn Patients

19 Influence of Co-morbid Modifiable Risk Factors on Adipose-Derived Stem Cell Paracrine Factors in Burn Patients

Paradigm Shift of Interventional Strategies and Outcomes for Acute Limb Ischemia Post-Pandemic.

We performed a large-scale comparison of patients treated for acute limb ischemia (ALI) in the pre-COVID (2017-2019) and COVID (2020-2022) eras to evaluate changes in interventional strategies and compare factors associated with adverse outcomes. We sought to characterize patient outcomes in an evolving ALI treatment algorithm in response to pandemic-associated presentation delays and rapid technological advancements in mechanical thrombectomy (MT). Using the TriNetX global research network, we conducted a multicenter query across 80 health care organizations (HCOs) spanning 4 countries for patients treated for ALI. Propensity score matching was performed to account for comorbidities. Risk of adverse outcomes within 30 days was calculated for each era, including re-intervention (RI30), major/minor amputation, and death. Patients were then stratified by initial intervention: open revascularization (OR), MT, or catheter-directed thrombolysis and adjunctive endovascular procedures alone (CDT/EP). Risk of adverse outcomes was compared between treatment groups of the same era. After propensity score matching, the pre-COVID era and COVID era cohorts included 7344 patients each. COVID era patients experienced a statistically significant higher risk of 30-day mortality (RR=1.211, p=0.027). Mechanical thrombectomy interventions were performed more frequently in the COVID era (RR=1.314, p<0.0001). Comparing outcomes between treatment groups, MT patients required RI30 more than OR patients (pre-COVID: RR=2.074, p=0.006; COVID: RR=1.600, p=0.025). Open revascularization patients had higher 30-day mortality (pre-COVID: RR=2.368, p<0.0001; COVID: RR=2.013, p<0.0001) and major amputations (pre-COVID: RR=2.432, p<0.0001; COVID: RR=2.176, p<0.0001) than CDT/EP. Pre-COVID CDT/EP patients were at higher risk for RI30 (RR=1.449, p=0.005) and minor amputations (RR=1.500, p=0.010) than OR. The MT group had higher major amputation rates than CDT/EP (pre-COVID: RR=2.043, p=0.019; COVID: RR=1.914, p=0.007). COVID-era MT patients had greater 30-day mortality (RR=1.706, p=0.031) and RI30 (RR=1.544, p=0.029) than CDT/EP. Significant shifts toward an MT-based approach have been observed in the last 3 years. Although MT required more RI30 than OR, there was no associated consequence of mortality and limb salvage. The increased mortality seen among COVID-era patients could be explained by delayed presentation, as well as poorly understood pro-thrombogenic or pro-inflammatory mechanisms related to the first waves of COVID. More research is necessary to determine an optimal treatment algorithm. Comorbid risk factors and severity of ischemia must be carefully considered before selecting an interventional strategy to prevent adverse outcomes and maximize limb salvage. Open revascularization strategies are associated with increased mortality and limb loss compared to less-invasive thrombolytic therapy alone. Mechanical thrombectomy (MT)-based approaches have been increasingly used in the last 3 years. Patients receiving MT are more likely to require reintervention within 30 days.

Scaling hypertension treatment in 24 low-income and middle-income countries: economic evaluation of treatment decisions at three blood pressure cut-points

ObjectiveEstimate the incremental costs and benefits of scaling up hypertension care in adults in 24 select countries, using three different systolic blood pressure (SBP) treatment cut-off points—≥140, ≥150 and ≥160...

Personalized, Precision Medicine to Cure Alzheimer's Dementia: Approach #1.

The goal of the treatment for Alzheimer's dementia (AD) is the cure of dementia. A literature review revealed 18 major elements causing AD and 29 separate medications that address them. For any individual with AD, one is unlikely to discern which major causal elements produced dementia. Thus, for personalized, precision medicine, all causal elements must be treated so that each individual patient will have her or his causal elements addressed. Twenty-nine drugs cannot concomitantly be administered, so triple combinations of drugs taken from that list are suggested, and each triple combination can be administered sequentially, in any order. Ten combinations given over 13 weeks require 2.5 years, or if given over 26 weeks, they require 5.0 years. Such sequential treatment addresses all 18 elements and should cure dementia. In addition, any comorbid risk factors for AD whose first presence or worsening was within ±1 year of when AD first appeared should receive appropriate, standard treatment together with the sequential combinations. The article outlines a randomized clinical trial that is necessary to assess the safety and efficacy of the proposed treatments; it includes a triple-drug Rx for equipoise. Clinical trials should have durations of both 2.5 and 5.0 years unless the data safety monitoring board (DSMB) determines earlier success or futility since it is uncertain whether three or six months of treatment will be curative in humans, although studies in animals suggest that the briefer duration of treatment might be effective and restore defective neural tracts.

Obesity as a main component of metabolic syndrome and a risk factor for comorbidity

Obesity is an important medical and social problem, it occupies one of the leading places among cardiovascular risk factors. Obesity is a major component of the metabolic syndrome. It has a close pathogenetic relationship with its other manifestations, as a result of which a portrait of a comorbid patient is formed. The article presents data on the prevalence, criteria for diagnosing obesity, the relationship of obesity with other components of the metabolic syndrome is shown. The role of adipose tissue dysfunction in obesity on the development and progression of insulin resistance, atherosclerosis, as well as its relationship with non-alcoholic fatty liver disease and arterial hypertension is discussed. It is shown that obesity is a comorbidity factor and the basis of the metabolic syndrome, the leading pathogenetic mechanism in the formation and progression of its components, preceding their occurrence. This allows us to conclude that weight loss can reduce cardiovascular risks, reduce the manifestations of the metabolic syndrome, and in some cases even eliminate them completely.

Assessment of Aspirin and Clopidogrel Resistance in Patients Undergoing Cardiovascular Surgery: A Single-Center Cross-Sectional Study

We aimed to investigate antiplatelet drug resistance utilizing light transmission-lumiaggregometry (LT-LA) and the Platelet Function Analyzer-100 (PFA-100) in patients undergoing cardiovascular surgery. The study included 60 patients diagnosed with stable coronary artery disease and peripheral vascular diseases that required surgery. Participants were divided into three groups: patients receiving aspirin (ASA) (n=21), patients receiving clopidogrel (CLO) (n=19), and patients receiving dual therapy (ASA+CLO) (n=20). Aggregation and secretion tests by LT-LA and closure time by the PFA-100 were used to measure antiplatelet drug resistance. Based on the adenosine diphosphate (ADP)-induced aggregation test, 43% of patients were resistant to ASA, 22% to CLO, and 15% to dual therapy. Diabetes, hypertension, and hyperlipidemia were the most commonly identified comorbid disorders. In patients with comorbid risk factors, the median value of platelet aggregation response to ADP was significantly higher in the ASA group than in the CLO and dual therapy groups (p=0.0001). In patients receiving ASA monotherapy, the maximum amplitude of aggregation response to platelet agonists was ≥70% in 43% of patients for ADP and 28% for collagen by LT-LA. Elevated ADP (≥0.29 nmol) and collagen (≥0.41 nmol)-induced adenosine triphosphate release were found by LT-LA in 66% of patients utilizing an ADP agonist and 80% of patients using a collagen agonist undergoing ASA therapy. Closure times obtained with the PFA-100 were normal in 28% of patients using collagen-ADP cartridges and 62% of patients using collagen-epinephrine (CEPI) cartridges who received ASA. Recurrent thrombosis and bleeding were observed in 12 (20%) patients with cardiovascular disease. Three of these individuals (25%) showed ASA resistance with normal responses to ADP-induced aggregation (≥70%) and secretion (≥0.29 nmol), as well as normal CEPI closure times. Our findings suggest that antiplatelet drug monitoring by LT-LA and PFA-100 may be useful for high-risk and complicated cardiovascular patients.

The heart-mind relationship in women cardiovascular primary prevention: the role of depression, anxiety, distress and Type-D personality in the 10-years cardiovascular risk evaluation.

Cardiovascular diseases are the leading cause of death among women. Prevention programmes underscore the need to address women-specific risk factors. Additionally, mental well-being is a significant aspect to consider when grappling with cardiovascular disease in women, particularly depression, anxiety, distress, and personality traits. This study aimed to create "at-risk" psychological profiles for women without prior cardiovascular disease history and to evaluate the association between anxiety, depression, distress, and Type-D personality traits with increased cardiovascular risk over 10 years. 219 women voluntarily participated in the "Monzino Women's Heart Centre" project for primary prevention and early diagnosis of cardiovascular diseases. Psychological profiles were developed utilising cluster analysis. The primary finding indicating that belonging to the "at-risk" psychological cluster was associated with a surge in the 10-year cardiovascular risk prediction score, despite the number of comorbid risk factors (Psychological "at-risk" cluster: β = .0674; p = .006; Risk factors: β = .0199; p = .242). This finding suggests that psychological well-being of women should be assessed from the very beginning of cardiovascular prevention programmes.

Socio-demographic and comorbid risk factors for poor prognosis in patients hospitalized with community-acquired bacterial pneumonia in southeastern US

BackgroundHow socio-demographic characteristics and comorbidities affect bacterial community-acquired pneumonia (CAP) prognosis during/after hospitalization is important in disease management. ObjectivesTo identify predictors of medical intensive care unit (MICU) admission, length of hospital stay (LOS), in-hospital mortality, and bacterial CAP readmission in patients hospitalized with bacterial CAP. MethodsICD-9/10 codes were used to query electronic medical records to identify a cohort of patients hospitalized for bacterial CAP at a tertiary hospital in Southeastern US between 01/01/2013–12/31/2019. Adjusted accelerated failure time and modified Poisson regression models were used to examine predictors of MICU admission, LOS, in-hospital mortality, and 1-year readmission. ResultsThere were 1956 adults hospitalized with bacterial CAP. Median (interquartile range) LOS was 11 days (6–23), and there were 26 % (513) MICU admission, 14 % (266) in-hospital mortality, and 6 % (117) 1-year readmission with recurrent CAP. MICU admission was associated with heart failure (RR 1.38; 95 % CI 1.17–1.62) and obesity (RR 1.26; 95 % CI 1.04–1.52). Longer LOS was associated with heart failure (adjusted time ratio[TR] 1.27;95 %CI 1.12–1.43), stroke (TR 1.90;95 %CI 1.54,2.35), type 2 diabetes (TR 1.20;95 %CI 1.07–1.36), obesity (TR 1.50;95 %CI 1.31–1.72), Black race (TR 1.17;95 %CI 1.04–1.31), and males (TR 1.24;95 %CI 1.10–1.39). In-hospital mortality was associated with stroke (RR 1.45;95 %CI 1.03–2.04) and age ≥65 years (RR 1.34;95 %CI 1.06–1.68). 1-year readmission was associated with COPD (RR 1.55;95 %CI 1.05–2.27) and underweight BMI (RR 1.74;95 %CI 1.04–2.90). ConclusionsComorbidities and socio-demographic characteristics have varying impacts on bacterial CAP in-hospital prognosis and readmission. More studies are warranted to confirm these findings to develop comprehensive care plans and inform public health interventions.

Comprehensive Evaluation of COVID-19 Vaccines Antibody Response Among Healthcare Professionals: A Multi-Center Study in Iran

Background: The coronavirus disease 2019 (COVID-19) vaccines are very good at protecting individuals from serious illness, needing hospital care, and dying from different strains of the virus. However, vaccines might not completely prevent individuals from catching and spreading the virus, and this might depend on some personal factors. Objectives: To find out the immune response of COVID-19 vaccines, this cross-sectional study conducted within June 2021 to May 2023 assessed different types of COVID-19 vaccine antibody responses among healthcare professionals and their associations with demographic factors and comorbidity risk factors. Methods: This descriptive-analytical study was conducted on recruited healthcare professionals from Sina, Imam Khomeini Complex, 501 AJA, Baqiayatallah, and Firoozgar hospitals in Tehran, Iran. The vaccines whose antibody response was investigated in this study are Sinopharm® (China), AstraZeneca® (United Kingdom), Sputnik® (Russia), and Covaxin® (India). Anti-spike, anti-receptor-binding domain (RBD), and anti-neutralizing immunoglobulin G (IgG) were evaluated by commercial kits according to instructions. Results: This study involved 1 029 healthcare workers who were over 18 years old. The average age was 41.48 ± 9.9 years, and 602 (58.5%) of them were male. The vaccines they received were Sputnik V (392 or 38.16%), AstraZeneca (335 or 32.61%), Baharat (45 or 4.3%), and Sinopharm (255 or 24.82%). The Covaxin and AstraZeneca vaccines increased both anti-RBD and anti-neutralizing IgG Ab levels; however, the Sinopharm vaccine increased only the latter. The Sputnik vaccine was the least effective. Gender and diabetes influenced the antibody levels, but age did not. Conclusions: This study revealed the substantial effectiveness of COVID-19 vaccines in generating robust antibody responses among healthcare professionals. All four vaccine types, Sinopharm, AstraZeneca, Sputnik, and Covaxin, elicited significant antibody responses in over 70% of participants, highlighting the crucial role of vaccination in building defense against COVID-19.

Novel and known minor alleles of CNTNAP2 gene variants are associated with comorbidity of intellectual disability and epilepsy phenotypes: a case-control association study reveals potential biomarkers.

Neurodevelopmental disorders are heterogeneous due to underlying multiple shared genetic pathways and risk factors. Intellectual disability, epilepsy and autism spectrum disorder phenotypes overlap which indicates the diverse effects of common genes. Recent studies suggested the probable contribution of CNTNAP2 gene polymorphisms to the comorbidity of these neurological conditions. This study was conducted to investigate the role of CNTNAP2 polymorphisms rs147815978 (G>T) and rs2710102 (A>G) as a risk factor for comorbidity of intellectual disability and epilepsy in a group of 345 individuals including 170 patients and 175 healthy controls recruited from various ethnic groups of Pakistani population. Our case-control study group was genotyped by tetra primer ARMS-PCR technique and results were analysed to know the effects of CNTNAP2 rs147815978 (G>T) and rs2710102 (A>G) polymorphisms in the group. The frequency of risk allele T (rs147815978) and risk allele G (rs2710102) for homozygous recessive genotypes (TT/GG) in our study group was 36.47% while odds ratios for risk allele T (rs147815978) was 5.45 (3.90-7.61: 95% CI, P = 0.000) and that for risk allele G (rs2710102) was 2.39 (1.76-3.24: 95% CI, P = 0.0001). Homozygous recessive genotypes (TT/GG) appeared only in cases and not in control group which indicated these as suspected risk genotypes and the significant association (p < 0.05%) of CNTNAP2 gene polymorphisms rs147815978 (G>T) and rs2710102 (A>G) with co-occurrence of intellectual disability and epilepsy phenotypes in our study group which is in HWE (χ2 = 174, P < 0.0001). Logistic regression analysis shows additive (p < 0.0001) and multiplicative (p < 0.001) models which confirms significant association of both the polymorphisms in our data, which are closely located on same haplotype (D' = -0.168). We propose that CNTNAP2 rs147815978 (G>T) and rs2710102 (A>G) polymorphisms are possible risk loci for overlapping neurodevelopmental disorders in Pakistani population. We propose the role of a previously reported common SNP rs2710102 (A>G) with a rarely reported novel SNP rs147815978 (G>T) for CNTNAP2 gene association with neurodevelopmental disorders in our data. Our study has expanded the knowledge of CNTNAP2 gene polymorphisms as probable biomarkers for susceptibility of co-occurrence of intellectual disability and epilepsy phenotypes in Pakistani population. We hope that our study will open new horizons of CNTNAP2 gene variants research to cure the neurological conditions in Pakistani population where consanguinity is a tradition and prevalence of neurodevelopmental disorders has increased from 1 to 2% during last 5 years.

Optimizing the Combination of Common Clinical Concussion Batteries to Predict Persistent Postconcussion Symptoms in a Prospective Cohort of Concussed Youth.

Studies have evaluated individual factors associated with persistent postconcussion symptoms (PPCS) in youth concussion, but no study has combined individual elements of common concussion batteries with patient characteristics, comorbidities, and visio-vestibular deficits in assessing an optimal model to predict PPCS. To determine the combination of elements from 4 commonly used clinical concussion batteries and known patient characteristics and comorbid risk factors that maximize the ability to predict PPCS. Cohort study; Level of evidence, 2. We enrolled 198 concussed participants-87 developed PPCS and 111 did not-aged 8 to 19 years assessed within 14 days of injury from a suburban high school and the concussion program of a tertiary care academic medical center. We defined PPCS as a Post-Concussion Symptom Inventory (PCSI) score at 28 days from injury of ≥3 points compared with the preinjury PCSI score-scaled for younger children. Predictors included the individual elements of the visio-vestibular examination (VVE), Sport Concussion Assessment Tool, 5th Edition (SCAT-5), King-Devick test, and PCSI, in addition to age, sex, concussion history, and migraine headache history. The individual elements of these tests were grouped into interpretable factors using sparse principal component analysis. The 12 resultant factors were combined into a logistic regression and ranked by frequency of inclusion into the combined optimal model, whose predictive performance was compared with the VVE, initial PCSI, and the current existing predictive model (the Predicting and Prevention Postconcussive Problems in Pediatrics (5P) prediction rule) using the area under the receiver operating characteristic curve (AUC). A cluster of 2 factors (SCAT-5/PCSI symptoms and VVE near point of convergence/accommodation) emerged. A model fit with these factors had an AUC of 0.805 (95% CI, 0.661-0.929). This was a higher AUC point estimate, with overlapping 95% CIs, compared with the PCSI (AUC, 0.773 [95% CI, 0.617-0.912]), VVE (AUC, 0.736 [95% CI, 0.569-0.878]), and 5P Prediction Rule (AUC, 0.728 [95% CI, 0.554-0.870]). Among commonly used clinical assessments for youth concussion, a combination of symptom burden and the vision component of the VVE has the potential to augment predictive power for PPCS over either current risk models or individual batteries.

Deep-Learning-Based Analysis Reveals a Social Behavior Deficit in Mice Exposed Prenatally to Nicotine.

Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit/hyperactive disorder (ADHD). Recent developments in deep learning algorithms enable us to assess the behavioral phenotypes of animal models without cognitive bias during manual analysis. In this study, we established prenatal nicotine exposure (PNE) mice and evaluated their behavioral phenotypes using DeepLabCut and SimBA. We optimized the training parameters of DeepLabCut for pose estimation and succeeded in labeling a single-mouse or two-mouse model with high fidelity during free-moving behavior. We applied the trained network to analyze the behavior of the mice and found that PNE mice exhibited impulsivity and a lessened working memory, which are characteristics of ADHD. PNE mice also showed elevated anxiety and deficits in social interaction, reminiscent of autism spectrum disorder (ASD). We further examined PNE mice by evaluating adult neurogenesis in the hippocampus, which is a pathological hallmark of ASD, and demonstrated that newborn neurons were decreased, specifically in the ventral part of the hippocampus, which is reported to be related to emotional and social behaviors. These results support the hypothesis that PNE is a risk factor for comorbidity with ADHD and ASD in mice.

Exploring clinical indicator variations in stroke patients with multiple risk factors: focus on hypertension and inflammatory reactions

BackgroundStroke stands as the second leading cause of death worldwide. Currently, extensive research has been conducted on stroke risk factors. However, when stroke patients contend with multiple risk factors, the impact on clinical indicators remains uncertain.ObjectivesThis study seeks to investigate potential significant variations among distinct ranges of clinical indicators in instances where stroke patients experience multiple risk factors and various ischemic stroke subtypes.Material and methodsThe research encompassed 440 stroke patients admitted to the First People's Hospital of Wenling City, Zhejiang Province, China. These patients were classified based on the type and quantity of risk factors and subtypes of ischemic stroke they presented. The χ2 test was employed to assess the relationship between the risk of comorbid diseases and clinical indicators in stroke patients.ResultsThe results of our study have underscored a significant correlation between various comorbid risk factors in stroke patients and the patients' age (P < 0.010). Furthermore, we observed noteworthy disparities in the plasma levels of IL-2, IL-4, IL-6, IL-10, TNF-α, and INF-γ between patients devoid of risk factors and those presenting with comorbid risk factors associated with stroke. Significant differences in INF-γ were observed between the two subtypes of ischemic stroke, namely lacunar infarction and cardioembolic stroke.ConclusionAge is correlated with an elevated risk of stroke. Individuals exhibiting multiple stroke risk factors and diverse ischemic stroke subtypes commonly present with abnormal lipid levels and imbalances in Th1/Th2 cytokines. These factors significantly contribute to the onset and progression of stroke. Furthermore, inflammatory responses, particularly those induced by atherosclerosis, play a pivotal role in the genesis of stroke and exert a substantial influence on its prognosis.

Long-Term Evaluation of the Shape of the Reconstructed Diaphragm in Patients with Left-Sided Congenital Diaphragmatic Hernia Using Serial Chest Radiographs and Correlation to Further Complications.

Background: Defining risk factors for long-term comorbidities in patients after neonatal repair of congenital diaphragmatic hernia (CDH) is an important cornerstone of the implementation of targeted longitudinal follow-up programs. Methods: This study systematically assessed serial chest radiographs of 89 patients with left-sided CDH throughout a mean follow-up of 8.2 years. These geometrical variables for the left and right side were recorded: diaphragmatic angle (LDA, RDA), diaphragmatic diameter (LDD, RDD), diaphragmatic height (LDH, RDH), diaphragmatic curvature index (LDCI, RDCI), lower lung diameter (LLLD, RLLD) and thoracic area (LTA, RTA). Results: It was demonstrated that the shape of the diaphragm in patients with large defects systematically differs from that of patients with small defects. Characteristically, patients with large defects present with a smaller LDCI (5.1 vs. 8.4, p < 0.001) at 6 months of age, which increases over time (11.4 vs. 7.0 at the age of 15.5 years, p = 0.727), representing a flattening of the patch and the attached rudimentary diaphragm as the child grows. Conclusions: Multiple variables during early follow-up were significantly associated with comorbidities such as recurrence, scoliotic curves of the spine and a reduced thoracic area. Some geometrical variables may serve as surrogate parameters for disease severity, which is associated with long-term comorbidities.

Vascular damage in systemic lupus erythematosus.

Vascular disease is a major cause of morbidity and mortality in patients with systemic autoimmune diseases, particularly systemic lupus erythematosus (SLE). Although comorbid cardiovascular risk factors are frequently present in patients with SLE, they do not explain the high burden of premature vascular disease. Profound innate and adaptive immune dysregulation seems to be the primary driver of accelerated vascular damage in SLE. In particular, evidence suggests that dysregulation of type 1 interferon (IFN-I) and aberrant neutrophils have key roles in the pathogenesis of vascular damage. IFN-I promotes endothelial dysfunction directly via effects on endothelial cells and indirectly via priming of immune cells that contribute to vascular damage. SLE neutrophils are vasculopathic in part because of their increased ability to form immunostimulatory neutrophil extracellular traps. Despite improvements in clinical care, cardiovascular disease remains the leading cause of mortality among patients with SLE, and treatments that improve vascular outcomes are urgently needed. Improved understanding of the mechanisms of vascular injury in inflammatory conditions such as SLE could also have implications for common cardiovascular diseases, such as atherosclerosis and hypertension, and may ultimately lead to personalized therapeutic approaches to the prevention and treatment of this potentially fatal complication.