Campagna Aiom su vaccinazioni, 80% malati non conosce i vantaggi
Risultati per: Gestione dei pazienti con grandi polipi del colon (grandi polipi colorettali non peduncolati)
Questo è quello che abbiamo trovato per te
Linfoma diffuso a grandi cellule, nuovo protocollo al Pascale
Promo centro in Italia a praticarlo, è il terzo nel mondo
Abstract 14540: Allostatic Load/Chronic Toxic Stress and Cardiovascular Outcomes in Breast, Lung and Colon Cancer Patients
Circulation, Volume 148, Issue Suppl_1, Page A14540-A14540, November 6, 2023. Introduction:Cardiovascular disease (CVD) and cancer share a common risk factor: chronic toxic stress/allostatic load (AL). Our previous research found that a 1-point increase in AL is linked to a 25-30% higher risk of major cardiac events (MACE) in prostate cancer patients.Hypothesis:Higher AL is associated with increased MACE risk in patients with breast, lung, and colon cancer.Methods:Patients ≥18 years diagnosed for the first time with the mentioned 3 cancers of interest between 2010-2019 at a large, hybrid academic-community practice were included in this retrospective cohort study. AL was modeled as an ordinal measure (0-11;Table 1). Adjusted Fine-Gray Cox proportional hazard regressions estimated the impact of AL pre- and 60 days post- cancer diagnosis on 2-year MACE.Results:Demographic characteristics are summarized in Table 1. Two-year mace MACE occurred in 12.3%, 23.3%, and 9.7% of breast, lung, and colon cancer patients, respectively. Heart failure was the most common MACE, observed in 7.9%, 14.4%, and 4.8% of breast, lung, and colon cancer patients, respectively. Before cancer diagnosis, a 1-point increase in AL raised MACE risk by 11% (aHR=1.11, 95% CI 1.07-1.16) in breast cancer, 18% (aHR=1.18, 95% CI 1.11-1.25) in lung cancer, and 9% (aHR=1.09, 95% CI 1.01-1.18) in colon cancer. After cancer diagnosis, a 1-point increase in AL increased MACE risk by 10% (aHR=1.10, 95% CI 1.06-1.15) in breast cancer and 19% (aHR=1.19, 95% CI 1.12-1.25) in lung cancer, but was not statistically significant in colon cancer (aHR=1.07, 95% CI 0.99-1.16).Conclusion(s):Higher AL levels prior to breast, lung, and colon cancer diagnoses are associated with increased MACE risk. Thus, effective implementation of patient-centered communication considering stress levels, stressors, and coping mechanisms is necessary during cardiovascular screening for these cancer patients. Further prospective studies are needed.
Artrite reumatoide, per 30mila pazienti anche complicanze polmonari
Anmar, serve un percorso diagnostico terapeutico per gestirle
Al via Dance for oncology, corsi di danza gratuiti per pazienti oncologici
Carolyn Smith, ‘dal ballo può arrivare un aiuto importante contro i tumori’
Linee guida sulla diagnosi e gestione della polmonite negli adulti
Cefalee,inadeguata gestione dei pazienti minaccia salute globale
Esperti, cambio paradigma assistenza per vincere sfida Onu 2030
Schillaci,obiettivo reinserimento lavorativo pazienti oncologici
‘Ora finalmente si riconosce diritto all’oblio anche in Italia’
Fibrosi cistica, a Meyer 220 pazienti in cura con nuovi farmaci
Fino al 50% dei pazienti di lupus soffre di complicanze ai reni
Sebastiani: ‘La diagnosi precoce rappresenta la vera sfida’
Il diabete influisce sulla sopravvivenza del cancro del colon-retto
Diagnosi e gestione della steatosi epatica non alcolica (NAFLD)
Pronto soccorso affollati? Nelle grandi città spuntano quelli privati a pagamento
Si moltiplicano le iniziative che offrono assistenza e cura ai cittadini H24 per le piccole urgenze. Ma a differenza del Servizio sanitario nazionale ti curano se paghi.
Diagnosi e gestione delle malattie della tiroide (ipotiroidismo primario, ipotiroidismo subclinico, ipertiroidismo, ipertiroidismo subclinico, ingrossamento della tiroide)
AGA Clinical Practice Update on the Role of Artificial Intelligence in Colon Polyp Diagnosis and Management: Commentary
The purpose of this American Gastroenterological Association (AGA) Institute Clinical Practice Update (CPU) is to review the available evidence and provide expert commentary on the current landscape of artificial intelligence in the evaluation and management of colorectal polyps.