Multimorbidity, comorbidity, frailty, and venous thromboembolism DOI Creative Commons
Bengt Zöller,

Jean M. Connors

Haematologica, Journal Year: 2024, Volume and Issue: 109(12), P. 3852 - 3859

Published: Nov. 19, 2024

Multimorbidity, i.e., the presence of two or more long-term health conditions, is challenging for healthcare systems worldwide. A related term comorbidity. This denotes any condition that has existed may occur during clinical course a patient who index disease under study. Moreover, frailty also inter-related with multimorbidity but represents distinct concept. Few studies have explored how and are to venous thromboembolism (VTE), though many looked at different comorbidities, especially cancer, affect outcome VTE. Recently, graded association between VTE been described. Several clusters, such as cardiometabolic psychiatric disorders, associated The comorbidity burden, Charlson Comorbidity Index (CCI), short-term mortality after patients without CCI = 0, less than 1% three months mortality. Frailty postoperative risk In this review, drivers risk, networks, trajectories will be discussed. Further including predictors in situations could importance. it important determine which diseases should included score

Language: Английский

Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations DOI Creative Commons
M. Austin Argentieri, Sihao Xiao, Derrick Bennett

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(9), P. 2450 - 2460

Published: Aug. 8, 2024

Circulating plasma proteins play key roles in human health and can potentially be used to measure biological age, allowing risk prediction for age-related diseases, multimorbidity mortality. Here we developed a proteomic age clock the UK Biobank (n = 45,441) using platform comprising 2,897 explored its utility predict major disease morbidity mortality diverse populations. We identified 204 that accurately chronological (Pearson r 0.94) found aging was associated with incidence of 18 chronic diseases (including heart, liver, kidney lung, diabetes, neurodegeneration cancer), as well all-cause risk. Proteomic also measures biological, physical cognitive function, including telomere length, frailty index reaction time. Proteins contributing most substantially are involved numerous functions, extracellular matrix interactions, immune response inflammation, hormone regulation reproduction, neuronal structure function development differentiation. In validation study involving biobanks China 3,977) Finland 1,990), showed similar accuracy 0.92 0.94, respectively) compared performance Biobank. Our results demonstrate involves spanning multiple functional categories status, across geographically genetically

Language: Английский

Citations

46
Mapping the effectiveness and risks of GLP-1 receptor agonists DOI Creative Commons
Yan Xie,

Taeyoung Choi,

Ziyad Al‐Aly

et al.

Nature Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Language: Английский

Citations

19
Identifying proteomic risk factors for cancer using prospective and exome analyses of 1463 circulating proteins and risk of 19 cancers in the UK Biobank DOI Creative Commons
Keren Papier, Joshua R. Atkins, Tammy Y. N. Tong

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 15, 2024

Abstract The availability of protein measurements and whole exome sequence data in the UK Biobank enables investigation potential observational genetic protein-cancer risk associations. We investigated associations 1463 plasma proteins with incidence 19 cancers 9 cancer subsites participants (average 12 years follow-up). Emerging were further explored using two approaches, cis -pQTL exome-wide scores (exGS). identify 618 associations, which 107 persist for cases diagnosed more than seven after blood draw, 29 associated analyses, four had support from long time-to-diagnosis ( > 7 years) both exGS analyses: CD74 TNFRSF1B NHL, ADAM8 leukemia, SFTPA2 lung cancer. present multiple including many detectable before diagnosis that concordant evidence suggesting a possible role development.

Language: Английский

Citations

18
Divergent age-associated and metabolism-associated gut microbiome signatures modulate cardiovascular disease risk DOI
Tiange Wang,

Zhun Shi,

Huahui Ren

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(6), P. 1722 - 1731

Published: June 1, 2024

Language: Английский

Citations

16
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics DOI
Milena Pavlović, Ghadi S. Al Hajj, Chakravarthi Kanduri

et al.

Nature Machine Intelligence, Journal Year: 2024, Volume and Issue: 6(1), P. 15 - 24

Published: Jan. 24, 2024

Language: Английский

Citations

11
The burden of diabetes-associated multiple long-term conditions on years of life spent and lost DOI Creative Commons
Edward W. Gregg, Adrian Pratt,

Alex Owens

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(10), P. 2830 - 2837

Published: Aug. 1, 2024

Abstract Diabetes mellitus is a central driver of multiple long-term conditions (MLTCs), but population-based studies have not clearly characterized the burden across life course. We estimated age onset, years spent and loss associated with diabetes-related MLTCs among 46 million English adults. found that morbidity patterns extend beyond classic diabetes complications accelerate onset severe by 20 earlier in women 15 men. By 50 years, one-third those at least three conditions, spend >20 them die 11 than general population. Each additional condition four fewer life. Hypertension, depression, cancer coronary heart disease contribute heavily to older create greatest community-level on (813 3,908 per 1,000 individuals) lost (900 1,417 individuals). However, younger adulthood, mental illness, learning disabilities, alcohol dependence asthma larger roles, when they occur, all except were long periods (11–14 years) many (11–15 years). These findings provide baseline for population monitoring underscore need prioritize effective prevention management approaches.

Language: Английский

Citations

9
Association of different insulin resistance surrogates with all-cause and cardiovascular mortality among the population with cardiometabolic multimorbidity DOI Creative Commons
Hongqiang Zhang, Zhixin Tu,

Si-hua Liu

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 22, 2025

Language: Английский

Citations

1
Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests DOI Creative Commons
Baker Nawfal Jawad,

Shakir Maytham Shaker,

Izzet Altintas

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 11, 2024

Abstract Several scores predicting mortality at the emergency department have been developed. However, all with shortcomings either simple and applicable in a clinical setting, poor performance, or advanced, high but clinically difficult to implement. This study aimed explore if machine learning algorithms could predict all-cause short- long-term based on routine blood test collected admission. Methods: We analyzed data from retrospective cohort study, including patients > 18 years admitted Emergency Department (ED) of Copenhagen University Hospital Hvidovre, Denmark between November 2013 March 2017. The primary outcomes were 3-, 10-, 30-, 365-day after PyCaret, an automated library, was used evaluate predictive performance fifteen using area under receiver operating characteristic curve (AUC). Results: Data 48,841 admissions analyzed, these 34,190 (70%) randomly divided into training data, 14,651 (30%) data. Eight achieved very good excellent results AUC range 0.85–0.93. In prediction short-term mortality, lactate dehydrogenase (LDH), leukocyte counts differentials, Blood urea nitrogen (BUN) mean corpuscular hemoglobin concentration (MCHC) best predictors, whereas favored by age, LDH, soluble urokinase plasminogen activator receptor (suPAR), albumin, (BUN). Conclusion: findings suggest that measures biomarkers taken one sample during admission ED can identify risk short-and following admissions.

Language: Английский

Citations

8
Prognosticating the outcome of intensive care in older patients—a narrative review DOI Creative Commons

Michael Beil,

Rui P. Moreno, Jakub Fronczek

et al.

Annals of Intensive Care, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 22, 2024

Abstract Prognosis determines major decisions regarding treatment for critically ill patients. Statistical models have been developed to predict the probability of survival and other outcomes intensive care. Although they were trained on characteristics large patient cohorts, often do not represent very old patients (age ≥ 80 years) appropriately. Moreover, heterogeneity within this particular group impairs utility statistical predictions informing decision-making in individuals. In addition these methodological problems, diversity cultural attitudes, available resources as well variations legal professional norms limit generalisability prediction models, especially with complex multi-morbidity pre-existing functional impairments. Thus, current approaches prognosticating are imperfect can generate substantial uncertainty about optimal trajectories critical care individual. This article presents state art new predicting Special emphasis has given integration into individual requires quantification prognostic a careful alignment preferences patients, who might prioritise over survival. Since performance outcome may improve time, time-limited trials be an appropriate way increase confidence life-sustaining treatment.

Language: Английский

Citations

7
Rising to the challenge of defining and operationalising multimorbidity in a UK hospital setting: the ADMISSION research collaborative DOI Creative Commons
Rachel Cooper,

Jonathan G. Bunn,

Sarah J. Richardson

et al.

European Geriatric Medicine, Journal Year: 2024, Volume and Issue: 15(3), P. 853 - 860

Published: March 6, 2024

Greater transparency and consistency when defining multimorbidity in different settings is needed. We aimed to: (1) adapt published principles that can guide the selection of long-term conditions for inclusion research studies hospitals; (2) apply these identify a list conditions; (3) operationalise this by mapping it to International Classification Diseases 10th revision (ICD-10) codes.

Language: Английский

Citations

4