Long term outcomes of patients with chronic kidney disease after COVID-19 in an urban population in the Bronx

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 19, 2025

Abstract We investigated the long-term kidney and cardiovascular outcomes of patients with chronic disease (CKD) after COVID-19. Our retrospective cohort consisted 834 CKD COVID-19 6,167 without between 3/11/2020 to 7/1/2023. Multivariate competing risk regression models were used estimate (as adjusted hazard ratios (aHR) 95% confidence intervals (CI)) progression a more advanced stage (Stage 4 or 5) major adverse events (MAKE), (MACE) at 6-, 12-, 24-month follow up. Hospitalized 12 24 months (aHR 1.62 CI[1.24,2.13] 1.76 [1.30, 2.40], respectively), but not non-hospitalized patients, higher compared those Both hospitalized MAKE 12- 24-months 1.73 [1.21, 2.50], 1.77 [1.34, 2.33], 1.31 [1.05, 1.64], MACE increases in CKD. These findings highlight need for close up care therapies that slow this high-risk subgroup.

Язык: Английский

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Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus

BMJ Open Diabetes Research & Care, Год журнала: 2022, Номер 10(1), С. e002560 - e002560

Опубликована: Янв. 1, 2022

Diabetic kidney disease (DKD) accounts for the majority of increased risk mortality patients with diabetes, and eventually manifests in approximately half those diagnosed type 2 diabetes mellitus (T2DM). Although screening frequency can avoid delayed diagnoses, this is not uniformly implemented. The purpose study was to develop retrospectively validate a machine learning algorithm (MLA) that predicts stages DKD within 5 years upon diagnosis T2DM.Two MLAs were trained predict severity, compared Centers Disease Control Prevention (CDC) score evaluate performance. models validated on hold-out test set as well an external dataset sourced from separate facilities.The outperformed CDC both datasets. Our algorithms achieved area under receiver operating characteristic curve (AUROC) 0.75 prediction any-stage AUROC over 0.82 more severe endpoints, <0.70 all sets endpoints.This retrospective shows MLA provide timely predictions among recently T2DM.

Язык: Английский

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Acute kidney injury in diabetic patients: A narrative review

Medicine, Год журнала: 2023, Номер 102(21), С. e33888 - e33888

Опубликована: Май 26, 2023

Diabetes mellitus (DM) is the most common cause of chronic kidney disease, which leads to end-stage renal failure worldwide. Glomerular damage, arteriosclerosis, and atherosclerosis are contributing factors in diabetic patients, leading progression damage. a distinct risk factor for acute injury (AKI) AKI associated with faster advancement disease patients diabetes. The long-term consequences include development higher cardiovascular cerebral events, poor quality life, high morbidity mortality. In general, not many studies discussed extensively “AKI DM.” Moreover, articles addressing this topic scarce. It also important know so that timely intervention preventive strategies can be implemented decrease injury. Aim review article address epidemiology AKI, its factors, different pathophysiological mechanisms, how differs between nondiabetic therapeutic implications diabetics. increasing occurrence prevalence DM, as well other pertinent issues, motivated us topic.

Язык: Английский

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Association of oxidative balance score with chronic kidney disease: NHANES 1999-2018

Frontiers in Endocrinology, Год журнала: 2024, Номер 15

Опубликована: Июнь 11, 2024

Background The Oxidative Balance Score (OBS), which quantifies the balance between antioxidants and pro-oxidants influenced by diet lifestyle, is crucial given oxidative stress’s significant role in Chronic Kidney Disease (CKD). This study aims to determine association OBS CKD using data from National Health Nutrition Examination Survey (NHANES) 1999-2018. Methods We analyzed spanning 1999 2018. was constructed a detailed array of 20 factors, including dietary nutrients lifestyle behaviors. relationship risk evaluated weighted logistic regression models, adjusted for potential confounders, with generalized additive model (GAM) examining non-linear associations. Subgroup analyses interaction effects across diverse demographic clinical groups, along sensitivity analyses, were performed validate findings. Results Among 32,120 participants analyzed, 4,786 identified CKD. Fully analysis revealed that each unit increase associated 2% reduction prevalence [OR: 0.98 (0.98–0.99), P &lt; 0.001]. Higher quartiles significantly correlated decreased [Q4 vs . Q1: OR: 0.82 (0.68–0.98), = 0.03; trend 0.01]. GAM smoothed curve fit indicated linear Stratified further substantiated inverse prevalence. Conclusions Our findings NHANES affirm U.S. population, underscoring optimizing factors managing risk. These results advocate incorporating considerations into prevention treatment strategies.

Язык: Английский

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Incorporating area-level social drivers of health in predictive algorithms using electronic health record data

Journal of the American Medical Informatics Association, Год журнала: 2025, Номер unknown

Опубликована: Янв. 20, 2025

Abstract Objectives The inclusion of social drivers health (SDOH) into predictive algorithms outcomes has potential for improving algorithm interpretation, performance, generalizability, and transportability. However, there are limitations in the availability, understanding, quality SDOH variables, as well a lack guidance on how to incorporate them when appropriate do so. As such, few published include SDOH, is substantial methodological variability among those that do. We argue practitioners should consider use indices factors—a class area-level measurements—given their accessibility, transparency, quality. Results illustrate process using such algorithms, which includes selection outcome, measurement time, geographic level, demonstrative example with Kidney Failure Risk Equation. Discussion Identifying settings where incorporating may be beneficial rigorously can help validate assess generalizability.

Язык: Английский

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Sleep Patterns, Genetic Susceptibility, and Incident Chronic Kidney Disease: A Prospective Study of 370 671 Participants

Frontiers in Neuroscience, Год журнала: 2022, Номер 16

Опубликована: Янв. 31, 2022

Unhealthy sleep behaviors may be potential risk factors for chronic kidney disease (CKD). We aimed to examine the associations of combined patterns and genetic susceptibility with incident CKD.This large-scale prospective cohort study included 370,671 participants without CKD at baseline (2006-2010) in UK Biobank data. Five were made up duration, insomnia, snoring, chronotype, daytime sleepiness according questionnaire. Overall by summing five scores created. Weighted score function was calculated. Incident recorded from death register, primary care, hospital inpatient records. A subset 41,130 individuals who participated both initial assessment visit follow-up (2012+) also used.During a median 10.6 years (about 3.9 million person-years), we documented 6,365 patients CKD. In behaviors, 7-8 h/day, free insomnia no frequent independently associated CKD, 12% (95%CI 7-16), 9% (3-14), 13% (9-18) lower risk, respectively. Compared those 0-1, 5 had 21% (10-31%) 17.1% this could attributed total poor pattern. Participants high intermediate or pattern showed highest (OR = 2.58, 95%CI 2.24-2.96; OR 2.59, 2.02-3.32, respectively), although there significant interaction between categories. Among visit, found that association amelioration after fully adjustment 0.60, 0.36-0.99), compared group stable pattern.In large study, healthy reduction matter they high, intermediate, low risk.

Язык: Английский

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Role of Sex Hormones in Prevalent Kidney Diseases

International Journal of Molecular Sciences, Год журнала: 2023, Номер 24(9), С. 8244 - 8244

Опубликована: Май 4, 2023

Chronic kidney disease (CKD) is a constantly growing global health burden, with more than 840 million people affected worldwide. CKD presents sex disparities in the pathophysiology of disease, as well epidemiology, clinical manifestations, and progression. Overall, while frequent females, males have higher risk to progress end-stage disease. In recent years, numerous studies highlighted role hormones diseases several organs, including kidney. this review, we present overview sex-differences selection prominent causing CKD: lupus nephritis, diabetic IgA nephropathy, autosomal dominant polycystic We report experimental findings on development its progression

Язык: Английский

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Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney disease

Chinese Chemical Letters, Год журнала: 2024, Номер 35(11), С. 109627 - 109627

Опубликована: Фев. 9, 2024

Язык: Английский

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Impact of urinary tract infection requiring hospital admission on short-term, mid-term and long-term renal outcomes in adult CKD patients - a potentially modifiable factor for CKD progression

Journal of Infection and Public Health, Год журнала: 2025, Номер 18(5), С. 102712 - 102712

Опубликована: Фев. 20, 2025

Urinary tract infection (UTI) or acute pyelonephritis can lead to renal scarring and impact the subsequent function progression. The aims of this study were investigate changes in related UTI requiring hospital admission (UTI/HA) association between UTI/HA long-term outcomes patients with chronic kidney disease (CKD). This was a multicenter, retrospective observational study. Renal events before after CKD analyzed for short-term mid-term outcomes. A case-control multivariate logistic regression analysis used clinical characteristics risk (kidney replacement therapy death, KRT/death) adult patients. included 1062 patients, 340 KRT 76 deaths identified during median follow-up 105 months. Among 174 UTI/HA, 59 (33.9 %) had bacteremia, 90 (51.7 injury (AKI), one in-hospital mortality. There faster decline rate estimated glomerular filtration (eGFR) compared pre-UTI/HA period [median (IQR) 0.37 (0.17-0.72) versus 0.19 (0.06-0.36) ml/min/1.73 m2 per month, P < 0.0001]. incidence similar KRT/death non-dialysis groups. Multivariate showed that baseline eGFR, eGFR number significantly associated an increased KRT/death. highlights on It demonstrates high AKI but low mortality, accelerated deterioration following UTI/HA. Long-term influenced by progression rate, frequency admission. may be regarded as potentially modifiable factor However, there is need further isolate from pre-existing

Язык: Английский

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Application of SERS-based nanobiosensors to metabolite biomarkers of CKD

Biosensors and Bioelectronics, Год журнала: 2023, Номер 232, С. 115311 - 115311

Опубликована: Апрель 17, 2023

Язык: Английский

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