Profile Of Patients Research Articles

Sex Differences in Profile and In-Hospital Death for Acute Stroke in Chile: Data From a Nationwide Hospital Registry.

Knowledge of local contextual sex differences in the profile and outcome for stroke can improve service delivery. We aimed to determine sex differences in the profile of patients with acute stroke and their associations with in-hospital death in the national hospital database of Chile. We present a retrospective cohort based on the analysis of the 2019 Chilean database of Diagnosis-Related Groups, which represents 70% of the operational expenditure of the public health system. Random-effects multiple logistic regression models were used to determine independent associations of acute stroke (defined by main diagnosis International Classification of Diseases, Tenth Revision [ICD-10] codes) and in-hospital death, and reported with odds ratios (ORs) and 95% CIs. Of 1 048 575 hospital discharges, 15 535 were for patients with acute stroke (7074 [45.5%] in women), and 2438 (15.6%) of them died during hospitalization. Differences by sex in sociodemographic and clinical characteristics were identified for stroke and main subtypes. After fully adjusted model, women with ischemic stroke had lower in-hospital death (OR, 0.79 [95% CI, 0.69-0.91]) compared with men; other independent predictors included age per year increase (OR, 1.03 [95% CI, 1.03-1.04]), chronic kidney disease (OR, 1.47 [95% CI, 1.20-1.80]), atrial fibrillation (OR, 1.50 [95% CI, 1.26-1.80]), and other risk factors. Conversely, for intracerebral hemorrhage, women had a higher in-hospital mortality rate than men (OR, 1.19 [95% CI, 1.02-1.40]); other independent predictors included age per year increase (OR, 1.009 [95% CI, 1.003-1.01]), chronic kidney disease (OR, 1.55 [95% CI, 1.23-1.97]), oral anticoagulant use (OR, 1.88 [95% CI, 1.37-2.58]), and other risk factors. Sex differences in characteristics and in-hospital death of hospitalized patients exist for acute stroke in Chile. In-hospital death is higher for acute ischemic stroke in men and higher for intracerebral hemorrhage in women. Future research is needed to better identify contributing factors.

Differentiated metabolomic profiling reveals plasma amino acid signatures for primary glomerular disease

Primary glomerular disease (PGD) is an idiopathic cause of renal glomerular lesions that is characterized by proteinuria or hematuria and is the leading cause of chronic kidney disease (CKD). The identification of circulating biomarkers for the diagnosis of PGD requires a thorough understanding of the metabolic defects involved. In this study, ultra-high performance liquid chromatography–tandem mass spectrometry was performed to characterize the amino acid (AA) profiles of patients with pathologically diagnosed PGD, including minimal change disease (MCD), focal segmental glomerular sclerosis (FSGS), membranous nephropathy, and immunoglobulin A nephropathy. The plasma concentrations of asparagine and ornithine were low, and that of aspartic acid was high, in patients with all the pathologic types of PGD, compared to healthy controls. Two distinct diagnostic models were generated using the differential plasma AA profiles using logistic regression and receiver operating characteristic analyses, with areas under the curves of 1.000 and accuracies up to 100.0% in patients with MCD and FSGS. In conclusion, the progression of PGD is associated with alterations in AA profiles, The present findings provide a theoretical basis for the use of AAs as a non-invasive, real-time, rapid, and simple biomarker for the diagnosis of various pathologic types of PGD.

Australia's first cardiac emergency department: Patient profile, activity and performance in the initial 6 months.

To profile the initial 6-month experience at the Victorian Heart Hospital (VHH) cardiac emergency (CE). The primary objective was to describe VHH CE patient characteristics, including presenting complaint, final diagnosis and disposition. Secondary objectives were to report on patient numbers, patient source and quality indicator performance including ambulance off-load by 40 min, waiting time and length of stay (LOS). A retrospective review included all patients who presented to the VHH CE from 9 March 2023 to 8 September 2023. Patient reports containing the relevant clinical information were generated from the CE electronic medical record system. Diagnoses of MI were checked for accuracy by full record review. There were 3303 CE presentations in the first 6 months of operation, of which 6% were transferred from other sites. Median age was 65 years (interquartile range [IQR]: 53-77), 56% were males; the most common presenting complaints were presumed cardiac chest pain (67%) and arrhythmia (17%). The admission, discharge and transfer rates were 38%, 54% and 8%, respectively. In total, 15% were diagnosed with MI. The most common diagnoses for discharged and admitted patients were non-specific chest pain (57%) and ST-elevation MI (22%), respectively. Ambulance off-load by 40 min was met for 96%. Median waiting time was 6 min (IQR: 3-10). Median CE LOS for discharged and admitted patients was 3.2 h (IQR: 2.5-4.0) and 3.7 h (IQR: 1.8-6.0), with 75% and 56% being <4 h, respectively. The population predominantly had cardiovascular disease as expected. Some performance indicators, including ED LOS, were identified as requiring intervention.

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.

Multimorbidity is a significant public health concern, characterized by the coexistence and interaction of multiple preexisting medical conditions. This complex condition has been associated with an increased risk of COVID-19. Individuals with multimorbidity who contract COVID-19 often face a significant reduction in life expectancy. The postpandemic period has also highlighted an increase in frailty, emphasizing the importance of integrating existing multimorbidity details into epidemiological risk assessments. Managing clinical data that include medical histories presents significant challenges, particularly due to the sparsity of data arising from the rarity of multimorbidity conditions. Also, the complex enumeration of combinatorial multimorbidity features introduces challenges associated with combinatorial explosions. This study aims to assess the severity of COVID-19 in individuals with multiple medical conditions, considering their demographic characteristics such as age and sex. We propose an evolutionary machine learning model designed to handle sparsity, analyzing preexisting multimorbidity profiles of patients hospitalized with COVID-19 based on their medical history. Our objective is to identify the optimal set of multimorbidity feature combinations strongly associated with COVID-19 severity. We also apply the Apriori algorithm to these evolutionarily derived predictive feature combinations to identify those with high support. We used data from 3 administrative sources in Piedmont, Italy, involving 12,793 individuals aged 45-74 years who tested positive for COVID-19 between February and May 2020. From their 5-year pre-COVID-19 medical histories, we extracted multimorbidity features, including drug prescriptions, disease diagnoses, sex, and age. Focusing on COVID-19 hospitalization, we segmented the data into 4 cohorts based on age and sex. Addressing data imbalance through random resampling, we compared various machine learning algorithms to identify the optimal classification model for our evolutionary approach. Using 5-fold cross-validation, we evaluated each model's performance. Our evolutionary algorithm, utilizing a deep learning classifier, generated prediction-based fitness scores to pinpoint multimorbidity combinations associated with COVID-19 hospitalization risk. Eventually, the Apriori algorithm was applied to identify frequent combinations with high support. We identified multimorbidity predictors associated with COVID-19 hospitalization, indicating more severe COVID-19 outcomes. Frequently occurring morbidity features in the final evolved combinations were age>53, R03BA (glucocorticoid inhalants), and N03AX (other antiepileptics) in cohort 1; A10BA (biguanide or metformin) and N02BE (anilides) in cohort 2; N02AX (other opioids) and M04AA (preparations inhibiting uric acid production) in cohort 3; and G04CA (Alpha-adrenoreceptor antagonists) in cohort 4. When combined with other multimorbidity features, even less prevalent medical conditions show associations with the outcome. This study provides insights beyond COVID-19, demonstrating how repurposed administrative data can be adapted and contribute to enhanced risk assessment for vulnerable populations.

Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach

Addressing the pressing demand for rapid and inexpensive coagulation testing in cardiovascular care, this study introduces a novel application of repurposed COVID-19 rapid antigen tests (RATs) as paper-based lateral flow assays (LFAs) combined with machine learning for coagulation status evaluation. By further developing a mobile app prototype, we present a platform that enables clinicians to perform immediate and accurate anticoagulant dosing adjustments using existing post-pandemic resources. Our proof-of-concept employs a random forest machine learning classifier to interpret image feature variations on RAT NC membrane, correlating red blood cell (RBC) wicked diffusion distance in recalcified citrated whole blood with changes in coagulative viscosity, easily interpreted. Enhanced by confocal imaging studies of paper microfluidics, our approach provides insights into the mechanisms dissecting coagulation components, achieving high classification precision, recall, and F1-scores. The inverse relationship between RBC wicked diffusion distance and enoxaparin concentration paves the way for machine learning to inform real-time dose prescription adjustments, aligning with individual patient profiles to optimize therapeutic outcomes. This study not only demonstrates the potential of leveraging surplus RATs for coagulation management but also exemplifies a cost-effective, rapid, and smart strategy to enhance clinical decision-making in the post-pandemic era.Graphical

Three years follow-up of Venetoclax in advanced-stage, relapsed or refractory AL amyloidosis with cardiac involvement and t(11;14) with BCL2 expression.

Further line treatment of patients with advanced stage AL amyloidosis with cardiac involvement is challenging. Venetoclax is a promising option, especially in t(11;14) and BCL2 expression.In our multicentre observational study, we report the 3-year follow-up of Venetoclax treatment in 9 patients with advanced, relapsed or refractory AL amyloidosis with t(11;14) and BCL-2 expression in > 50% of plasma cells. At baseline, all patients had been previously treated with daratumumab, all had cardiac involvement with revised Mayo stage III or IV/ European modification of Mayo 2004 IIIA or IIIB (1/9 unclassified due to missing troponin T), 5/9 patients had renal involvement.After a median of 35months (range 25-49) since the start of Venetoclax, 8/9 patients were still alive (OS 89%). First and best hematological responses were observed after a median of 26days (11-125) and 106days (35-659), overall response rate was 100% (7/9 CR, 2/9 VGPR). Where observed, organ response was documented within the first 6months of therapy, including cardiac (6/9) and renal (3/5) improvements. Venetoclax was discontinued in 6/9 patients after a median of 15months (11-48) due to toxicity (2/9), disease progression (2/9), fixed treatment duration (1/9), or safety concerns (1/9).In conclusion, Venetoclax induces a rapid and deep hematologic response with consistent improvement in organ function with an acceptable safety profile in patients with pretreated, advanced stage AL amyloidosis with cardiac involvement and BCL2 expression with and potentially without detected t(11:14), which warrants further investigation.

Profile and Outcome of Patients Admitted to Pediatric Intensive Care Unit at a General Referral Hospital

Profile and Outcome of Patients Admitted to Pediatric Intensive Care Unit at a General Referral Hospital

Influence of pseudoxanthoma elasticum on the lipid profile and prognostic implications.

Background: Pseudoxanthoma elasticum (PXE) is a rare, inherited disease characterised by specific skin lesions, progressive loss of vision and early onset atherosclerosis. Atherosclerosis in PXE leads to an increased rate of vascular occlusion and severe intermittent claudication. Although genetically determined, the individual course of PXE is highly variable. Up to now, there is no sufficient parameter to identify individuals at risk of rapid disease progression. This present study focused the lipid profile of patients with PXE and its possible influence on the clinical severity of peripheral artery disease (PAD). Patients and methods: 112 patients with PXE were retrospectively screened. Patients without a complete lipid profile consisting of total cholesterol (TC), triglycerides (TGC), high-density lipoprotein (HDL), low-density lipoprotein (LDL) and Lipoprotein(a) (Lp[a]) where excluded as well as patients with already initiated lipid-lowering therapy. 52 patients met the inclusion criteria. An age-adjusted ordinal regression model was applied to determine the association of each lipid fraction with the severity of PAD assessed as Fontaine classification. Results: The lipid profile of patients with PXE was unremarkable (TGC: 135.8±105.8 mg/dl; TC: 172.5±44.4 mg/dl; HDL: 63.0±18.2 mg/dl; Lp[a]: 64.7±93.5 nmol/l). Ordinal regression showed a significant association of Lp(a) with the severity of PAD with an odds ratio of 1.01 (1.00-1.02; p = 0.004), whereas the other fractions of the lipid profile had no significant influence. Conclusions: This study provides the largest evaluation of blood lipids up to now and the first characterization of Lp(a) levels in patients with PXE. We were able to provide first evidence of a correlation between elevated levels of Lp(a) and the severity of PAD. The present results suggest that determination of Lp(a) in early stages of PXE could help to identify patients at risk of rapid disease progression and with the need of intensified walking exercise training.

Reappraisal of Pidotimod: an immunomodulatory agent with 30-year evidence.

Pidotimod (3-L-pyroglutamyl-L-thiaziolidine-4-carboxylic acid) is a synthetic dipeptide with immunomodulatory properties that is indicated for use in adults and children over 3 years of age with documented cell-mediated immunodepression during respiratory and urinary tract infections. Infections are associated with an immune response that helps fight pathogens. In this scenario, inflammatory events occur to improve the antimicrobial reaction. However, defective immunity and/or sustained inflammation may adversely affect the course of the infection. Thus, modulating immune function could be a valuable option in managing patients with infections. The multifaceted mechanism of action of Pidotimod enables it to modulate innate and adaptive immunity. Extensive evidence about Pidotimod, accumulated over the last 30 years, has provided much data on the prevention of recurrent respiratory infections in susceptible children and respiratory exacerbations in patients with chronic bronchitis. Recent studies provide interesting information on how Pidotimod affects the metabolomic profiles of patients with bronchiectasis, clinical and immunological outcomes of elderly patients with pneumonia, clinical and cellular changes in patients with allergic rhinitis and asthma, and beneficial effects on cytokines and humoral immunity in human immunodeficiency virus (HIV) patients. Preliminary experience suggests that Pidotimod can shorten the duration of COVID-19 infection and reduce clinical severity by modulating the immune response, as well as prevent vaccination-related adverse events. In conclusion, the immunomodulatory properties of Pidotimod indicate that it may be a valuable option in managing patients with respiratory infections and other immune-mediated disorders, including allergy, chronic obstructive pulmonary disease, and asthma.

Larotrectinib efficacy for liver metastases in papillary thyroid carcinoma patient harboring SQSTM1–NTRK1 fusion

BackgroundPooled data analysis from three phase I/II larotrectinib clinical trials revealed that larotrectinib demonstrated rapid and durable disease control and a favorable safety profile for patients with neurotrophic-tropomyosin receptor kinase (NTRK) fusion positive thyroid carcinoma. Herein, we report the case of a patient with papillary thyroid carcinoma (PTC) and liver metastases who demonstrated a durable response to treatment with larotrectinib.Case presentationA 50-year-old female with PTC was referred to our hospital for postoperative observation. Computed tomography (CT) scan was performed to screen for distant metastasis, since thyroglobulin concentration increased gradually, and revealed multiple distant metastases, including multiple liver metastases. Radioactive iodine was administered at a dose of 100 mCi. However, uptake was observed only in the thyroid bed, and distant metastases had no avidity. As liver metastases progressed, lenvatinib (24 mg/day) was initiated after confirmation of liver metastases by liver biopsy 9 years and 1 month after the initial referral to our hospital. Since the multiple metastases became refractory for lenvatinib, the OncoGuide™ NCC Oncopanel System was performed, and the SQSTM1–NTRK1 gene fusion was confirmed. Larotrectinib was subsequently administered at a dose of 200 mg/day. The CT before the initiation of larotrectinib showed multiple liver metastases with a maximum diameter of 48 mm. The first CT evaluation at 1 month after the initiation of larotrectinib treatment showed that the tumor volume was reduced by 28% in the RECIST 1.1 criteria. After 3 months of larotrectinib treatment, a 38% reduction in the tumor volume was achieved as the best clinical response. The only side effect was grade 1 myalgia. At 12 months after the initiation of larotrectinib treatment, none of the lesions had progressed.ConclusionsIn conclusion, larotrectinib demonstrated effective antitumor activity against liver metastases of PTC, a relatively rare site of distant metastasis. Furthermore, the efficacy of larotrectinib was maintained, even though the patient had a history of multi-tyrosine kinase inhibitor treatment and a relatively infrequent fusion gene, SQSTM1–NTRK1.

Neoadjuvant targeted therapy versus targeted combined with chemotherapy for resectable EGFR-mutant non–small cell lung cancer: a retrospective controlled real-world study

BackgroundThis study aimed to assess the role and effect of neoadjuvant targeted therapy (TT) versus targeted combined with chemotherapy (TC) for resectable EGFR-mutant non–small cell lung cancer (NSCLC).MethodsBetween March 2021 and June 2023, 20 patients with stage IA3-IIIB NSCLC were enrolled in the study. Eleven patients received EGFR-TKIs in the TT group, while nine patients received EGFR-TKIs and two cycles of cisplatin-based doublet chemotherapy (TC group). We compare the differences between the two groups through the following variables, including age, sex, surgical approach, postoperative complications, neoadjuvant therapy adverse events, complete response (CR), partial response (PR), stable disease (SD), progressive disease (PD), objective response rate (ORR), major pathologic response (MPR), and pathologic complete response (pCR).ResultsPatients were predominantly female (75%) and never-smokers (95%). The average age was 59.2 years (range 46-79 years). Fifty-five percent harbored an exon 19 EGFR mutation and 45% an exon 21 mutation. The average targeted drug dosing time was 2.91 ± 1.7 (range 1-6) months in the TT group and 3.56 ± 3.54 (range 1-12) months in the TC group (P=0.598). The most common side effects were rash and diarrhea. No grade 5 events with neoadjuvant therapy were observed. The rate of R0 resection was 100% in all patients. Among the 11 patients in the TT group, 6 achieved a PR and 5 had SD, resulting in an ORR of 54.5%. Among the 9 patients in the TC group, 6 had PR and the remaining 3 had SD, resulting in an ORR of 66.6%. one patient (11.1%) in the TC group achieved pCR, while no patients in the TT group achieved pCR (P = 0.142). Two patients (18.2%) in the TT group reached MPR, and 2 patients (22.2%) in the TC group reached MPR (P = 0.257). The overall clinical downstage rate is 60%. Only 9 (45%) cases of yield clinical TNM (ycTNM) were consistent with yield pathologic TNM (ypTNM).ConclusionResults from this retrospective controlled research indicate that the neoadjuvant TT group is likely to be more effective outcomes and has safer profile in patients with EGFR-positive NSCLC than the neoadjuvant TC group. However, our results need to be validated in a multicenter, large sample prospective study.

Safety and efficacy of very low calorie diet (VLCD) in patients receiving haemodialysis therapy

Abstract Background Very low calorie diets (VLCDs) are an obesity treatment option in the general population, but their efficacy and safety in patients on haemodialysis (HD) is unknown. Methods Prospective single arm study of VLCD in haemodialysis patients. All participants received 2.5–3.3 MJ/day for 12 weeks. Weekly assessment of VLCD, pre and post dialysis weight, interdialytic weight gain, and blood electrolytes occurred for the first 4 weeks, then fortnightly for another 8 weeks. Linear mixed models compared the change in weight over time as well as biochemical outcomes including potassium. Results 22 participants (9 home HD (HHD) and 13 satellite HD (SHD)) enrolled with 19 completing the 12 week intervention. Mean post-dialysis weight declined from 121.1 kg at baseline to 109.9 at week 12 resulting in average decline of 0.88 kg per week (95% C.I. 0.71, 1.05, p &amp;lt; 0.001) with 12 week mean percentage weight loss9.3% (SD 3.5). Mean post-dialysis BMI declined from 40.9 kg/m2 at baseline to 37.1 kg/m2 at week 12 (95% C.I. 0.25, 0.35, p &amp;lt; 0.001). Serum potassium rose from week 1 to 3, stabilised week 4 to 6 and fell from week 8, returning near baseline by week 12. Six of the nine (66.6%) HHD participants and seven of the thirteen (70%) SHD participants had at least one episode of hyperkalaemia (K &amp;gt; 6 mmol/L). There were no clinical changes in serum sodium, corrected calcium, phosphate levels during the study. Conclusion VLCD with dietitian supervision was effective in producing significant weight reduction, with an acceptable safety profile in patients treated with haemodialysis.

Clinical Profile and Echocardiographic Evaluation of COPD Patients Admitted in a Tertiary Care Hospital

Introduction: Chronic obstructive pulmonary disease (COPD) ranks as the fourth leading cause of global mortality, with anticipated increases in prevalence and mortality in the future. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) highlights the importance of considering COPD diagnosis in patients with relevant symptoms or risk factors, confirmed through spirometry. While COPD is preventable and treatable, it often presents with significant extra-pulmonary effects, particularly cardiac manifestations. Echocardiography offers a rapid, noninvasive method to assess these cardiac complications. Objective: This study aimed to investigate the clinical profiles and echocardiographic changes in COPD patients and their correlation with disease severity. Method: Conducted as an observational cross-sectional study, the research took place in the indoor departments of Medicine and Respiratory Medicine at Sir Salimullah Medical College &amp; Mitford Hospital, Dhaka, between May 25th, 2017, and November 24th, 2017; enrolling 105 diagnosed COPD patients aged e”18 years. Data collection involved a structured questionnaire covering socio-demographic details, risk behavior, and respiratory complaints. Physical examinations, spirometry, and echocardiography were conducted for diagnosis, severity grading, and cardiac evaluation, respectively. Statistical analysis employed SPSS software (version-22), presenting results through frequency, percentage, tables, graphs, and figures. Result: The study population was predominantly male (88.6%) with a mean age of 64.1 years. Most patients (94.2%) were smokers with a mean pack-year history of 22.03. All patients presented with cough and shortness of breath, and 88.5% had wheezing. Spirometry revealed moderate COPD in 40% of patients, with a distribution across all severity grades. Echocardiography showed abnormalities in 52.4% of patients, with tricuspid regurgitation, pulmonary hypertension, and right ventricular dilatation being the most frequent findings. A significant correlation was observed between C OPD severity and the presence of these echocardiographic abnormalities. Conclusion: Clinical examination unveiled common respiratory findings, while echocardiography demonstrated diverse cardiac manifestations in COPD patients. A significant proportion of patients exhibited normal findings on X-ray and echocardiography. The study highlights the prevalence of moderate COPD severity and the association between very severe COPD and specific cardiac complications, emphasizing the importance of comprehensive assessment and management strategies for COPD patients. J MEDICINE 2024; 25: 115-120

Urine metabolites imply metabolic rewiring of kidney and predict acute kidney injury after cardiac surgery

Abstract Background Acute kidney injury (AKI) is a serious complication in patients undergoing cardiac surgery, with the underlying mechanism remaining elusive, and lack of specific biomarkers for cardiac surgery-associated AKI (CS-AKI). Methods We performed an untargeted metabolomics analysis of urine samples procured from a cohort of patients with or without AKI at 6 and 24 hours following cardiac surgery. Based on the differential urinary metabolites discovered, we further examined the expressions of the key metabolic enzymes that regulates these metabolites in kidney during AKI using a mouse model of ischemia-reperfusion injury (IRI) and in hypoxia-treated tubular epithelial cells (TECs). Results The urine metabolomic profiles in AKI patients were significantly different from those in non-AKI patients, including upregulation of tryptophan metabolism- and aerobic glycolysis-related metabolites, such as L-tryptophan and D-glucose 1-phosphate, downregulation of fatty acid oxidation (FAO) and tricarboxylic acid (TCA) cycle-related metabolites. Spearman correlation analysis showed that serum creatinine (Scr) was positively correlated with urinary L-tryptophan and indole, which had high accuracy for predicting AKI. In animal experiments, we demonstrated that the expression of rate-limiting enzymes in glycolysis, such as hexokinase II (HK2), was significantly upregulated during renal IRI. However, TCA cycle-related key enzymes citrate synthase (CS) was significantly downregulated after IRI. In vitro, hypoxia induced downregulation of CS in TECs. In addition, FAO-related gene peroxisome proliferator-activated receptor alpha (PPARα) was remarkably downregulated in kidney during renal IRI. Conclusion This study presents urinary metabolites related to CS-AKI, indicating the rewiring of the metabolism in kidney during AKI, identifying potential AKI biomarkers.

Prospective transitions in hemoglobin A1c following gestational diabetes using Multistate Markov Models.

We characterized the state-to-state transitions in postpartum A1c levels after gestational diabetes, including remaining in a state of normoglycemia or transitions between prediabetes or diabetes states of varying severity. We used data from the APPLE Cohort, a postpartum population-based cohort of individuals with gestational diabetes between 2009-2011and linked HbA1c data with up to 9 years follow-up (N=34,171). We examined maternal sociodemographic and perinatal characteristics as predictors of transitions in A1c progression using Markov multistate models. In the first-year postpartum following gestational diabetes, 45.1% of people had no-diabetes, 43.1% had prediabetes, 4.6% had controlled diabetes and 7.2% had uncontrolled diabetes. Roughly two-thirds of individuals remained in same state in the next year. Black individuals were more likely to transition from pre-diabetes to uncontrolled diabetes (aHR: 2.32 95% CI: 1.21 ,4.47) than White persons. Perinatal risk factors were associated with disease progression and lower likelihood of improvement. For example, hypertensive disorders of pregnancy were associated with a stronger transition (aHR: 2.06 95% CI: 1.39, 3.05) from prediabetes to uncontrolled diabetes. We illustrate factors associated with adverse transitions in incremental A1c stages and describe patient profiles who may warrant enhanced postpartum monitoring.

Examination of drug removal profiles in patients undergoing therapeutic plasma exchange: A retrospective study.

Therapeutic plasma exchange (TPE) eliminates disease-contributing substances but may also affect drug concentrations. This study aimed to assess the prevalence of prescription drugs removable via TPE by reviewing patient medication histories. A retrospective, single-center study was conducted from January 1, 2021 to December 31, 2022. The study included 244 patients undergoing 1087 TPE sessions. Drugs prescribed to patients on TPE days were categorized as "yes" (probably removable), "maybe" (possibly removable), and "no" (unlikely removable) regarding their removability via TPE. Among 3966 prescriptions, 556 (14.0%) were analyzed, with 21.8%, 36.5%, and 41.7% falling into the "yes," "maybe," and "no" categories for removability. Although only 14.0% were categorized, 83.6% of patients received at least one analyzable drug. Among them, 83.8% had at least one potentially removable drug. Real-world data highlights the need for caution in drug treatments during TPE to ensure optimal therapeutic outcomes, particularly for specific drugs.

Metabolomics and network pharmacology exploration of the effects of bile acids on carotid atherosclerosis and potential underlying mechanisms

BackgroundBile acids (BAs), products of gut microbiota metabolism, have long been implicated in atherosclerotic disease pathogenesis. Characterizing the serum bile acid profile and exploring its potential role in carotid atherosclerosis (CAS) development are crucial tasks.MethodsIn this study, we recruited 73 patients with CAS as the disease group and 77 healthy individuals as the control group. We systematically measured the serum concentrations of 15 bile acids using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS/MS). Multivariate logistic regression and least absolute shrinkage and selection operator (LASSO) regression were applied to analyze the impact of bile acids on the disease and select the key BAs. The possible molecular mechanism was elucidated by network pharmacology.Results(1) The BA profile of patients with CAS significantly differed. (2) Multifactorial logistic regression analysis identified elevated levels of GCDCA (OR: 1.01, P &amp;lt; 0.001), DCA (OR: 1.01, P = 0.005), and TDCA (OR: 1.05, P = 0.002) as independent risk factors for CAS development. Conversely, GCA (OR: 0.99, P = 0.020), LCA (OR: 0.83, P = 0.002), and GUDCA (OR: 0.99, P = 0.003) were associated with protective effects against the disease. GCA, DCA, LCA, and TDCA were identified as the four key BAs. (3) TNF, FXR, GPBAR1, ESR1 and ACE were predicted to be targets of BAs against AS. These four BAs potentially impact AS progression by triggering signaling pathways, including cAMP, PPAR, and PI3K-AKT pathways, via their targets.ConclusionThis study offers valuable insights into potential therapeutic strategies for atherosclerosis that target bile acids.

Emotional intelligence and neurocognition profiles in first-episode psychosis: A two-year follow-up study

Emotional intelligence (EI) and neurocognition (NC) impairments are common in first-episode psychosis (FEP), yet their evolution over time remains unclear. This study identified patient profiles in EI and NC performance in FEP. 98 adult FEP patients and 128 healthy controls (HCs) were tested on clinical, functional, EI, and NC variables at baseline and two-year follow-up (FUP). A repeated-measures ANOVA compared the effects of group (patients and HCs) and time on EI. Significant EI improvements were observed in both groups. Four groups were created based on NC and EI performance at baseline and FUP in patients: impairment in NC and EI, impairment in NC only, impairment in EI only, and no impairment. At FUP, patients impaired in NC and EI showed less cognitive reserve (CR), greater negative and positive symptoms, and poorer functional outcomes. At FUP, three group trajectories were identified: (I) maintain dual impairment (II) maintain no impairment or improve, (III) maintain sole impairment or worsen. The maintain dual impairment group had the lowest levels of CR. EI and NC impairments progress differently in FEP. Greater CR may protect against comorbid EI/NC impairment. Identifying these patient characteristics could contribute to the development of personalised interventions.

Genetics of 67 patients of suspected primary ciliary dyskinesia from India.

Data are limited on the genetic profile of primary ciliary dyskinesia (PCD) from developing countries. Here, we report one of the first study on genetic profile of patients with suspected PCD from India. In this prospective cross-sectional study, we enrolled 162 children with suspected PCD. We recorded clinical features, relevant laboratory tests for PCD and performed whole exome sequencing (WES). We are reporting 67 patients here who had positive variant/s on WES. We had 117 variants in 40 genes among 67 patients. Among the 108 unique variants, 33 were categorized as pathogenic or likely pathogenic (P/LP). We had nine novel variants in out cohort. The 29 definite PCD cases, diagnosed by composite reference standards, had variants in 16 genes namely LRRC6/DNAAF11 (5), DNAH5 (3), CCDC39 (3), HYDIN (3), DNAH11 (2), CCDC40 (2), CCDC65 (2) and one each DNAAF3, DNAAF2, CFAP300, RPGR, CCDC103, CCDC114, SPAG1, DNAI1, and DNAH14. To conclude, we identified 108 unique variants in 40 genes among 67 patients. The common genes involved in definite cases of PCD in Indian patients were LRRC6, DNAH5, CCDC39, and HYDIN. Our findings suggest a need to develop a separate genetic panel for PCD in the Indian population.

The Effect of Mobile Lifestyle Intervention Combined with High-Protein Meal Replacement on Liver Function in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease: A Pilot Randomized Controlled Trial

While many studies have explored dietary substitutes and mobile apps separately, a combined approach to metabolic dysfunction-associated steatotic liver disease (MASLD) has not been investigated. This study evaluated short-term mobile interventions coupled with partial meal replacement in patients with MASLD. Sixty adults with MASLD and a body mass index ≥25 kg/m2 from a health examination center were randomized into an intervention group using a mobile app with partial meal replacements or a control group receiving standard educational materials. Liver enzyme levels, lipid profiles, and anthropometric measurements were assessed at baseline and after 4 weeks. Twenty-five participants in the intervention group and 24 in the control group completed the trial. Significant reductions were observed in the intervention group for alanine aminotransferase (−28.32 versus [vs.] −10.67, p = 0.006) and gamma-glutamyl transferase (−27.76 vs. 2.79, p = 0.014). No significant changes in aspartate aminotransferase, body weight, or waist circumference were noted in the intervention group. Four weeks of mobile lifestyle intervention incorporating partial meal replacements improved liver enzyme profiles in patients with MASLD. This strategy demonstrated the potential for mitigating elevated liver enzyme levels without altering body weight or waist circumference. Comprehensive and longer-term research is needed to substantiate and elaborate these preliminary outcomes.