Gender considerations in hypertension pathophysiology and treatment

Hanes, Donna S.; Weir, Matthew R.; Sowers, James R.

doi:10.1016/s0002-9343(96)00264-1

Cited by 39 publications

(25 citation statements)

References 70 publications

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“…The reasons for this paradoxical finding are not immediately obvious. If a true sex bias existed, one would have expected to find worse outcomes among women, in line with other previous reports (1)(2)(3)(4)(5)(6)(7)(8)(9). Although in this dataset we cannot directly correlate outcomes to access to care (which is uniform among all veterans), access to care is clearly an important issue affecting outcomes (21).…”

Section: Discussionsupporting

confidence: 84%

“…Furthermore, although the demographics of our patient population are comparable with those included in previous reports (1)(2)(3)(4)(5)(6)(7)(8)(9), unknown and unmeasured confounders in the veteran population accounting for these results cannot be ruled out. Consistent with previous observations and reports (1)(2)(3)(4)(5)(6)(7)(8)(9), women underwent lower numbers of invasive cardiac procedures in our study. However, this did not translate into poorer outcomes, raising the possibility of increased procedure-related effects on long-term mortality.…”

Section: Discussionmentioning

confidence: 52%

“…It is interesting to note that a number of trials of acute coronary syndromes have reported higher mortality and morbidity among women, and more so in subjects with diabetes (1)(2)(3)(4)(5)(6)(7)(8)(9)20). Several possible explanations have been put forward to explain this, including differences in presentation, and sex bias in diagnosis and in management Hazard ratios were adjusted for age, race, diabetes, hypertension, congestive heart failure, hyperlipidemia, atrial fibrillation, chronic obstructive pulmonary disease, stroke, number of discharge diagnoses, Charlson Index and geographical region.…”

Section: Discussionmentioning

confidence: 99%

“…espite the substantial improvement in mortality from acute coronary artery disease (CAD) in the overall population, women in general, and diabetic women in particular, reportedly have worse prognoses following myocardial infarction (MI) than men (1)(2)(3)(4)(5)(6)(7)(8)(9). Several reasons (1) have been proposed to explain this, including a sex bias in treatment.…”

mentioning

confidence: 99%

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Paradoxical lower postmyocardial infarction mortality among veteran women – does a sex bias exist in the Veterans Affairs medical system?

Kamalesh

Subramanian

Ariana

et al. 2008

Canadian Journal of Cardiology

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 52%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Paradoxical lower postmyocardial infarction mortality among veteran women – does a sex bias exist in the Veterans Affairs medical system?

Kamalesh

Subramanian

Ariana

et al. 2008

Canadian Journal of Cardiology

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“…oestrogens have vasodilatory effects on the endothelium, and inhibit vascular smooth muscle cell growth and constriction. 13 We conclude that oestrogens in dialysis female patients affect only MAP (predialysis and postdialysis difference), but do not affect PP.…”

Section: Discussionmentioning

confidence: 69%

Mean arterial pressure and pulse pressure are associated with different clinical parameters in chronic haemodialysis patients

Roguljic¹,

Kovačić²,

Bačić

et al. 2003

J Hum Hypertens

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The mean arterial pressure (MAP) usually serves as an expression of blood pressure in patients on chronic haemodialysis (PCHD), instead of using solely systolic or diastolic pressure. Pulse pressure (PP) has been recognized as an important correlate of mortality in PCHD. We conducted this study in order to demonstrate clinical and biochemical determinants and variability of predialysis and postdialysis MAP and PP values. A total of 136 single haemodialysis (HD) treatments in 23 subjects (PCHD, 11 male and 12 female patients) were processed during 15 months. MAP before HD was in negative correlation with haemoglobin (Po0.001) and body mass index (BMI) (Po0.001), and in positive correlation with weekly erythropoietin dosage (P ¼ 0.017). MAP after HD was in negative correlation with haemoglobin (Po0.001), ultrafiltration per HD (P ¼ 0.015), and BMI (P ¼ 0.001), and in positive correlation with weekly erythropoietin dosage (P ¼ 0.003). PP before HD was in negative correlation with parathyroid hormone (PTH) level (P ¼ 0.020), haemoglobin (Po0.001), ultrafiltration per HD (P ¼ 0.001), and years on the chronic HD treatment (P ¼ 0.001), and in positive correlation with weekly erythropoietin dosage (Po0.001) and age (Po0.001). PP after HD was in significant negative correlation with PTH (P ¼ 0.015), haemoglobin (P ¼ 0.005), ultrafiltration per HD (Po0.001), BMI (P ¼ 0.003), and in positive correlation with weekly erythropoietin dosage (Po0.001) and age (P ¼ 0.004). Multiple regression analyses unveiled the strongest and negative correlations between MAP before HD and BMI (b ¼ À0.37, P ¼ 0.01); MAP after HD and haemoglobin (b ¼ À0.36, P ¼ 0.01); PP after HD and ultrafiltration/body weight ratio (b ¼ À0.41, Po0.001).

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