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The severity of individual menopausal symptoms, cardiovascular disease, and all-cause mortality in the Women's Health Initiative Observational Cohort.
Nudy, Matthew; Aragaki, Aaron K; Jiang, Xuezhi; Manson, JoAnn E; Allison, Matthew A; Shadyab, Aladdin H; Hodis, Howard N; Wild, Robert A; Robbins, John A; Liu, Simin; Naughton, Michelle J; Dreibelbis, Sarah; Gass, Margery; Stefanick, Marcia L; Valdiviezo, Carolina; Schnatz, Peter F.
Afiliação
  • Nudy M; From the Division of Cardiology, Penn State College of Medicine, Heart and Vascular Institute, Hershey, PA.
  • Aragaki AK; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
  • Manson JE; Division of Preventive Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA.
  • Allison MA; Department of Family Medicine, University California San Diego, San Diego, CA.
  • Shadyab AH; University of California, San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, CA.
  • Hodis HN; Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Wild RA; Division of Reproductive Endocrinology, Departments of Obstetrics and Gynecology & Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK.
  • Robbins JA; Department of Medicine, UC Davis Medical Center, Sacramento, CA.
  • Liu S; Departments of Epidemiology, Medicine, and Surgery, Brown University, Center for Global Cardiometabolic Health, Providence, RI.
  • Naughton MJ; Division of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University, Columbus, OH.
  • Dreibelbis S; Department of Ob/Gyn, Reading Hospital/Tower Health, Reading, PA.
  • Gass M; Cleveland, OH.
  • Stefanick ML; Department of Medicine, Stanford University Medical Center, Palo Alto, CA.
  • Valdiviezo C; Department of Cardiology, Georgetown University, Washington, DC.
Menopause ; 29(12): 1365-1374, 2022 12 01.
Article em En | MEDLINE | ID: mdl-36219813
ABSTRACT

OBJECTIVE:

The aim of this study was to examine the association between common menopausal symptoms (MS) and long-term cardiovascular disease (CVD) and all-cause mortality.

METHODS:

In an observational cohort of 80,278 postmenopausal women with no known CVD at baseline from the Women's Health Initiative, we assessed individual MS severity (mild vs none; moderate/severe vs none) for night sweats, hot flashes, waking up several times at night, joint pain or stiffness, headaches or migraines, vaginal or genital dryness, heart racing or skipping beats, breast tenderness, dizziness, tremors (shakes), feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating. Outcomes included total CVD events (primary) and all-cause mortality (secondary). Associations between specific MS, their severity, and outcomes were assessed during a median of 8.2 years of follow-up. All results were multivariable adjusted, and individual associations were Bonferroni corrected to adjust for multiple comparisons. A machine learning approach (least absolute shrinkage and selection operator) was used to select the most parsimonious set of MS most predictive of CVD and all-cause mortality.

RESULTS:

The severity of night sweats, waking up several times at night, joint pain or stiffness, heart racing or skipping beats, dizziness, feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating were each significantly associated with total CVD. The largest hazard ratio (HR) for total CVD was found for moderate or severe heart racing or skipping beats (HR, 1.55; 95% confidence interval [CI], 1.29-1.86). The individual severities of heart racing or skipping beats, dizziness, tremors (shakes), feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating were associated with increased all-cause mortality. Moderate or severe dizziness had the largest HR (1.58; 95% CI, 1.24-2.01). Multiple symptom modeling via least absolute shrinkage and selection operator selected dizziness, heart racing, feeling tired, and joint pain as most predictive of CVD, whereas dizziness, tremors, and feeling tired were most predictive of all-cause mortality.

CONCLUSION:

Among postmenopausal women with no known CVD at baseline, the severity of specific individual MS was significantly associated with incident CVD and mortality. Consideration of severe MS may enhance sex-specific CVD risk predication in future cohorts, but caution should be applied as severe MS could also indicate other health conditions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Menopause Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Menopause Ano de publicação: 2022 Tipo de documento: Article