Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
624 JACC Vol. 13, No. 3 March 1, 1989:6X-9 Gender-Related Differences in Cardiac Response to Supine Exercise Assessed by Radionuclide Angiography PETER IAN C. HANLEY, P. CLEMENTS, MANUEL Rochester, L. BROWN, MD, FACC, MD, FACC, ALAN ALFRED MD, RAYMOND R. ZINSMEISTER, A. BOVE, J. GIBBONS, PHD, MD, PHD, FACC, MD, FACC Minnesota This study examines the recently reported gender differences in cardiac responses to exercise. The study group consisted of 192 men and 67 women with a low probability of coronary artery disease who underwent supine exercise radionuclide angiography. Men had a lower rest ejection fraction than that of women (0.63 versus 0.66, p = 0.02) and greater increases in ejection fraction with exercise (0.08 versus 0.02, p = 0.0001). The slope relating ejection fraction to metabolic equivalents of exercise (METS)was greater (p = 0.004) for men, even after adjustment for differences in rest ejection fraction and end-diastolic volume index. Compared with In recent years it has been reported that the cardiac response to exercise of women may differ from that of men. Gibbons et al. (1) observed that the ejection fraction response to exercise measured by radionuclide angiography exhibited a gender difference. The ejection fraction failed to increase during exercise in approximately 30% of women, but in only 10% of men, who had chest pain and normal coronary arteries. The relatively poor specificity for radionuclide angiographic results in women has been confirmed by others (2,3). On the basis of these results, in a small number of normal volunteers, Higginbotham et al. (4) suggested that these observations are due to a gender difference in the response of the ejection fraction and end-diastolic volume to upright exercise. The purpose of this study was to examine gender differences during supine exercise in a much larger series of patients with a low probability of coronary artery disease. From the Division of Cardiovascular Diseases and Internal Medicine and the Sections of Medical Research Statistics and Diagnostic Nuclear Medicine, Mayo Clinic and Mayo Foundation, Rochester, Minnesota. Manuscript received February 1, 1988; revised manuscript received October 12, 1988, accepted October 20, 1988. Address for reorints: Raymond J. Gibbons, MD, Mayo Clinic, 200 Second Street Southwest, Rochester, Minnesota 55905. 01989 by the American College of Cardiology men, women had a smaller rest end-diastolic volume index (87 versus 97 ml/m’, p = 0.003) and a greater increase in end-diastolic volume index with exercise (6 versus -2 ml/ m2, p = 0.002). The slope relating end-diastolic volume to METS was greater for women, even after adjustment for differences in rest end-diastolic volume index and peak work load. There are clear gender differences in the supine exercise response of ejection fraction and end-diastolic volume that are not explained by differences in exercise capacity. (J Am Co11Cardiol1989;13:624-9) Methods Study subjects. The study group consisted of 192 men and 67 women who underwent radionuclide angiography in our laboratory between December 1983and September 1986 and satisfied the following criteria indicating a low probability of coronary artery disease: age ~50 years, no chest pain or nonanginal chest pain (by history before exercise testing), nonischemic exercise electrocardiographic (ECG) response, no chest pain during exercise, a peak exercise heart rate >120 beatslmin during exercise and a rest radionuclide angiographic ejection fraction >50%. Patients underwent a careful clinical evaluation; those with a cardiac pacemaker, congenital heart disease, other valvular heart disease (including mitral valve prolapse with significant regurgitation), hypertrophic cardiomyopathy, previous cardiac surgery, congestive heart failure, hypertension, previous myocardial infarction or left bundle branch block were excluded. The major clinical indication for these studies was patient reassurance, in individuals who were asymptomatic or had noncardiac chest pain. Patients taking a beta-receptor blocker, calcium channel blocker or long-acting nitrate were also excluded. Exercise protocols and radionuclide angiography. Rest and exercise radionuclide angiograms were obtained from all 0735-1097/89/$3.50 JACC Vol. 13, No. 3 March 1, 1989:624-9 GENDER-RELATED 625 HANLEY ET AL. DIFFERENCES IN EXERCISE patients in the supine position. The 12 standard ECG leads were continuously monitored and recorded every minute. Blood pressure was monitored indirectly in the right arm with the use of a sphygmomanometer. The patients’ erythrocytes were labeled with the use of 30 mCi of technetium99m and the modified in vivo method of Callahan et al. (5). After rest blood pool imaging, supine exercise was performed on a bicycle ergometer table. The exercise protocol began at a work load of 300 kpm/min; the work load was increased every 3 min in increments of 300 kpmlmin. The initial work load and incremental work load were occasionally modified by the monitoring cardiologist, depending on the patient’s clinical status and performance at earlier exercise levels. An attempt was made to maintain the work load constant throughout each 3-min stage. The usual exercise end points used in our laboratory include 1) severe fatigue, 2) moderate or severe chest pain, 3) severe arrhythmia, and 4) marked ECG changes (horizontal or downsloping ST segment depression ~0.2 mV). However, no patient in this study had exercise discontinued because of ischemic chest pain, severe arrhythmia or ECG abnormalities; severe fatigue was their exercise end point. Repeat blood pool imaging was obtained during the last 2 min of each exercise stage in the left anterior oblique view that best separated the ventricles. Acquisitions were gated to the patients’ ECG and collected at 16 frames/cardiac cycle with the use of standard gamma cameras. A blood sample was obtained immediately after exercise for cardiac volume determinations. Heart rate and systolic and diastolic blood pressure were obtained at rest and at maximal work load. The peak rate-pressure product was calculated as the product of peak exercise heart rate and peak systolic blood pressure. Data processing. Radionuclide data were processed with use of a commercially available dedicated computer system and software (Medical Data Systems) and previously reported techniques (6,7). The left ventricular region of interest was identified in each frame with use of a second derivative technique and a background region was defined 5 pixels lateral to the left ventricular systolic region. Ejection fraction was calculated from the background-corrected left ventricular counts versus time curve by use of a commercially available operator interactive program. The change in ejection fraction was computed as peak exercise ejection fraction minus rest ejection fraction. End-diastolic volume was determined with a count-based method (8) and a previously reported regression equation from this laboratory (9). The end-diastolic volume index was determined by dividing end-diastolic volume by body surface area; the correlation coefficient for end-diastolic volume determined by this method compared with contrast ventriculography has been previously reported as 0.85 (9). Previous studies from this laboratory (10) have demonstrated that a single rest blood sample may be employed for volume measurements be- 0.50 fi 1 2 3 4 METS 5 6 of 7 * 9 to exercise Figure 1. Data from an individual patient showing the relation between ejection fraction and metabolic equivalents (METS) of exercise at rest at four different levels of exercise. A linear model was used to compute the slope and intercept of the ejection fraction response in each patient. cause, with this labeling method, plasma activity is unchanged with exercise. Oxygen consumption (‘?OJ at peak exercise was estimated from the formula (I 1): Q = ‘* x work load (kpmimin)] t 300 weight (kg) Estimated oxygen consumption is a measure of exercise intensity and reflects the fact that subjects of different body size are at different levels of exercise intensity at the same bicycle work load. Metabolic equivalents of exercise (METS) can be estimated by dividing VO, by 3.5. Data analysis/statisticalmethods. Comparison of men and women on single response values (for example, METS) was based on the two-sample t test on the Wilcoxon rank sum, whereas multivariate comparisons (for example, rest and peak values, alone, of ejection fraction) were based on Hotelling’s TZ statistic, a multivariate extension of the usual two sample t test. Hemodynamic variables are presented in terms of medians and percentiles, as preliminary analysis suggested that several of these variables are not “normally” distributed. The data comprising ejection fraction response and enddiastolic volume response at rest and at each subsequent exercise level were first summarized within subjects. A linear model with METS as the independent variable was used to compute the slope and intercept for ejection fraction response in each subject (Fig. 1). The end-diastolic volume values within a subject were first “normalized” by dividing each exercise value by the rest volume. These ratios were then transformed to log scale yielding a measure of “relative change” in end-diastolic volume with exercise. A linear model with METS as the independent variable was again used to compute a slope and intercept term for each subject by using just the (log) normalized values during exercise (Fig. 2). A plot of the resulting slopes for both ejection fraction response and end-diastolic volume response against intercept values (which closely approximate the rest values) 626 JACC Vol. 13, No. 3 March 1, 1989:624-9 HANLEY ET AL. GENDER-RELATED DIFFERENCES IN EXERCISE 0.3 0.2 - 4 (E-z,.,,) 0.1 - O.O -0.1 -0.2 -0.3 . . . II 1 2 3 I I I I I I 4 5 6 7 8 9 10 METS of exercise Figure2. Data from an individual patient showing the relation between end-diastolic volume (EDV) and metabolic equivalents (METS) of exercise at four different levels of exercise. End-diastolic volume at each level of exercise was divided by the rest enddiastolic volume, thereby presenting a measure of “relative change” with exercise. These ratios were transformedinto a log scale; with use of a linear model, a slope and intercept were computedfor each subject. indicated that higher intercepts corresponded to smaller slope values. The comparison of men and women was based on linear regression analysis with the individual subject estimated slope values as the dependent variables. In the comparison of ejection fraction response, the intercept and (log) rest end-diastolic volume index along with gender (as a dummy regression variable) were the independent variables. For the comparison of normalized end-diastolic volume index response, the intercept, peak metabolic equivalents and gender were the independent variables. To summarize and display the group slope values (men, women), the least squares estimated mean slopes (?2 SE) were computed for the ejection fraction response adjusting for the intercept and the rest end-diastolic volume index. The least squares estimated mean slopes were also computed for the normalized end-diastolic volume response adjusting for peak work load and the intercept. Results Patient group characteristics(Table 1). The average age of both groups was similar. The men were significantly taller and heavier than the women. Thirty-eight percent of the men and 45% of the women exceeded their ideal body weight (12) by 25%; this difference was not significant. Exercise and ECG test response variables (Table 2). The heart rate at rest was lower in men (median 69) than in women (median 77). Systolic blood pressure was slightly higher at rest in men, but no difference was detected in the rate-pressure product at rest between men and women. At peak exercise, both men and women achieved similar peak heart rates. However, peak systolic blood pressure was higher in men (median 200 mm Hg) than in women (median 170 mm Hg), as was the rate-pressure product (median 30,752 for men compared with 26,180 for women). The median peak work load level achieved by men was almost twice as high as that for women (1,100 versus 600 kprn/min). There was also a highly significant (p < 0.0001) difference in estimated metabolic equivalents of exercise (METS) between men (7.0 METS) and women (5.4 METS). Radionuclide angiographic test response variables (Table 3). The rest ejection fraction for men (median 0.63) was significantly lower than that for women (median 0.66). Both change in ejection fraction (0.02 for women versus 0.08 for men) and peak exercise ejection fraction (0.68 for women versus 0.71 for men) were significantly lower for women than for men. Thirty percent of the women and 16% of the men decreased their ejection fraction with exercise (change in ejection fraction CO). The end-diastolic volume index in women was smaller at rest (87 versus 97 ml/m*, p < 0.005). With exercise, women had a slight increase (6 ml/m*) in end-diastolic volume index, whereas men had a slight decrease (-2 ml/m*); this difference was highly significant (p < 0.005). Radionuclide angiograpbic test response by statistical model (Fig. 3 and 4). The slope of ejection fraction versus estimated METS was significantly (p < 0.005) greater for men than for women (Fig. 3), even after adjustment for gender differences in rest ejection fraction and rest enddiastolic volume index. The slope of normalized enddiastolic volume versus estimated METS was significantly (p < 0.05) greater for women than for men (Fig. 4) even after adjustment for gender differences in rest end-diastolic volume index and peak work load. Discussion This study was designed to evaluate possible gender differences in exercise ventricular performance in a clinical patient group without coronary artery disease. The study group was entirely composed of patients who, on the basis of Table1. Patient Characteristics Age (median; 25th, 75th percentile) (yr) Weight (median; 25th, 7Sth percentile) (kg) Height (median; 25th, 75th percentile) (cm) % in excess of 1.25 x ideal weight Men (n = 192) Women (n = 67) p Value 41;36,45 84;76,92 178;174,183 38% 40;34,43 65;58,77 165;16,168 45% NS <O.oool <O.oool NS JACC Vol. 13, No. :i March I. 1989:62&Y GENDER-RELATED HANLEY ET AL. DIFFERENCES IN EXERCISE 627 Table 2. Exercise and Electrocardiographic Response Variables Men (n = 192) (median; 25th. 75th percentile) Women (n = 67) (median; 25th, 75th percentile) p Value Heart rate Rest 69; 60, 79 77; 69, 85 10.0001 156; 142, 170 151; 137. 169 NS Rest 122; 118. 132 120; 110. 130 CO.05 Peak exercise 200: 180. 215 170: 150. 180 <0.0001 Peak exercise Systolic blood pressure Heart rate )i blood pressure 8,665; 7,285, 10,170 9,240; 8.120, 10,148 NS 30,752; 27.930. 34,219 26,180; 22,500, 29,070 600; 600, 700 <O.OOOl Rest Peak exercise Work load (kpm per min) 1,050: 900. 1,200 Estimated METS 7; 6. 8.5 5.4: 4.3. 6.1 <0.0001 <O.OOOl METS = metabolic equivalents of exercise Bayes’ theorem. would be predicted to have a low probability of coronary artery disease. The groups were well matched for age and no patient was >50 years old; hence, differences in exercise response between men and women should not be related to age. Gender differences in work load, exercise intensity and blood pressure response. The men were found to have sig- nificantly higher values for exercise work load, exercise intensity (estimated metabolic equivalents [METS]), exercise systolic blood pressure and exercise rate-pressure product. We do not believe that this difference reflects a lack of motivation on the part of the women in the study to exercise, because the values achieved are equivalent to those achieved by normal volunteer women in the study by Higginbotham et al. (4) and because all our patients were exercised to an end point of severe fatigue. Although the physical activity levels and general level of conditioning of Table 3. Radionuclide Angiographic Variables at Rest and During Exercise Men (n = 192) (mean ? SEM) Women (n = 67) (mean +- SEM) Rest 0.63 (kO.01) 0.66 (?O.Ol) CO.05 Peak exercise 0.71 (?O.Ol) 0.68 (ZO.01) <0.05 0.02 (?O.Ol) <O.OOOl p Value EF AEF Mean 25th percentile 75th percentile EDVI Rest (ml/m’) Peak exercise (mum’) AEDVI (ml/m’) 0.08 (+O.Ol) 0.03 0.13 -0.02 0.09 97 (22) 87 (%3) <0.005 95 (22) -2 (?I) 93 (24) 6 Ii-?) NS 10.005 EDVI = end-diastolic volume index; EF = ejection fraction: AEDVI = exercise end-diastolic volume index - rest end-diastolic volume index: AEF = exercise ejection fraction - rest ejection fraction. our subjects are not known, their obesity and exercise intensity achieved suggest a sedentary lifestyle. Peak estimated METS were lower in this study than described in most of the exercise studies in which well conditioned subjects have been evaluated. However, our estimates of METS do not differ significantly from those actually measured by DeBusk et al. (13) and Higginbotham et al. (4) in untrained or sedentary subjects. Ejection fraction response: comparison with previous studies. The gender difference in ejection fraction response in the current study is similar to that described by others in clinical patient groups. In the current study, the ejection fraction decreased with exercise in 30% of the women and only 16% of the men. These values should be compared with the 30% for women and 10% for men reported by Gibbons et al. (1) in patients with normal coronary arteries. These latter results (I) have been attributed to “post-test referral bias” (14), because only patients referred for coronary angiography were included. Clearly, this explanation cannot apply to the current study population, in which coronary angiography was not required. The gender difference in change in ejection fraction in this clinical patient population is not as striking as that reported by Higginbotham et al. (4) in normal volunteers. Change in ejection fraction was 50.05 in 60% of the women and 43% of the men in our study compared with 56% and 7% reported by Higginbotham et al. (4) for women and men, respectively. The only previous investigation to explore the mechanism of the disparity in change in ejection fraction between men and women has been that of Higginbotham et al. (4). There were several key differences in methodology between their study and the current study. We employed supine rather than upright exercise and utilized a large study group selected from a clinical patient population rather than from normal volunteers. In addition, we examined changes in aq IOU pIno -oJd dnoJ% Kpnls a,tlelz IEJ~~_II palelos! ~?J$!LII ~w~y!u8!s -e@Jn8aJ uo!snlDxa aql woJ3 Jo3 aq~ u! uo!]e@JrBaJ 30 a3ualeAaJd spunoJ8 aqJ paJap!suo3 K~~?c$I~D vqqa lnoql!M *dnoJ8 lou asdel Kpnls wh4 uog asde]oJd aAp2A ~uo~lmnJnv~n~!~wan#al as?~axa uo asdvlo.id an]vn ~LIJ~UJo 13aJa ajq!ssod ayr si hi!1!q!ssod ymoj” y ~ITJI!I.IIpalt?losI .awas!p Kpnls s!y$ 30 uoyJod ~ue~y!u8!s a&e1 %lep Jno woJ3 papnpxa KUE aheq pIno e q3ns uogelndod IE~I Klayqun aq IOUUW Klg!q!ssod swaas I! s!ql q%noqilv ‘uatuotu u! as?Aaxa 01 asuodsad ap~mnluo~ nvpm!.wan #al 8u!/3aJv v!urayDs! 1m!u!l~qnsJo ivyi sl hl!l!q!ssod p.i~yl y ‘IlaM st! uo!sual q3!q~ ‘as!3Jaxa ql!~ ‘uauJoM KqaJaql Kpuwy!u%!s JaleaJ% -pua aql 11~~ J!aql aJnssaJd peq ualu u! aseaJDu! q%noqyv l3al u! acwaJag!p alq!ssod aql poojq aql paseaJsu! ql!M u! saseaJ3ul lp2~ @svaJ3u! xapu! awnloh uo!sual 3gow!p Jo3 lunow2 01 elep uogDa[a 30 s!sEq Jno uIoJ3 asay] u! saDuaJag!p aq] uo papalas Kpnls Jno u! awaJa#p ‘JaAaMOH -s!sJad *KqdEJ8o$ue uo!]cwg luaged p?u~Jou qI!M waged p2uIJouqe au0 qI!M UaWOM *sa!JalJe pgu!~:’ u! a%ueq3 u! saDuaJag!p uaaq a,wq sa!Joaql IOU Japua% E?30 a3ual KJINOJOD O%JapUrI 01 Klay!] uo!pafa s! Jo1%23 alq!ssod suogglndod uo!pafa 01 paJag az!s laK IOU aJe sqj Jal3t pajsa%ns uaqk u! sswu *as~Jaxa WaJeddk? uatuoht asaqJ u! Jalp2.w scq Kpnls Jaqlouv ualu 30 leql amnloA sawaJag!p asaql ql!M ‘(61) %L aq ‘K~%u! IJeaq sly! 30 autos u! sa3uaJagp uaAa ‘sign ‘~~01 YJOM yead Japua8 pue sanp?A (]saJ) ~03 palsn[ppe aJaM auu-qolz sadols aql sadols Dqoiswp-pua u! sa3uaJa33!p TI~I.IJ p!p ueql awrqor\ JBln3pwaA B pw JallwJs 01 xapu! %uyelaJ aJaM aJaqJ JaleaJ8 uatu p!p upql uogz~3 e pcq uawoht t! pw alcJ q]!M paJeduJo3 .Kl!xalduro:, $nq pasn Jeauq aql ‘as!DJaxa IJeaq Jaq%q e 01 pal3ad u! sa3ua IOU pInoM alzaq Iq%!w slapom qloq I? q3ns s~xm aql ucql Jno IdaDJalu! asaql pur! uaqM uoycwJ3 Japua% al!uyap l3aI u! aseaJw! uog3a[a q]!M puy aqL u! aseaJw! .u~!I~EJ~ Ja)]aq ‘(91‘g) uogDa[a aql ‘uaI.u aJoLu fslapour *sJaalunlo~ IOU p!p 30 IaAal aspJaxa pauo!]!puo3 u! uaw (p) JaqleJ asnwaq Kl!sualu! .p2 Ia aql u! paw aq 01 paJeaddr! peal YJOM a131(3!q ua%Kxo 30 slaAal IuaJagp 30 sparqns ueqj xaldwo3 Kpnls Jno pue Kpnls J!aqJ !paAa!q3e Kpnls aql 1~ uogdwnsuo:, aqi ‘peal ]t! aJe YJOM alDKD!q as!gJaxa ql!M xapu! amnloA 3!low!p-pua pawugsa pur! uogczg 01 uog9ara .xapu! arunloh yolswp-pua Isal pue uog3e.g uog3a[a Isa1 u! sa%aJagp .IOJ iuam)sn[pr! Ja)Je uaha (go~o > d) adois .Ialsa_B e peq uafl ‘wgs z T sadols ueaw aqi aJe uMoqs .uauI pue uatuofi Jo3 paKslds!p a.m as!Xaxa 30 (s_~g~) s)ualeA!nba Dgoqelaur pw uo!~seg uogsafa uaarn]aq uoge1a.I aql %+oqs e]ep dnoJg *E a.~@~ Kaql sawnloll sawaJag!p Jal3t2 uaAa j3Jal JaIlw.us ‘al3pluah dnoJ% Kpnls Jno u! ualuom *b%o~o!sLqd ae!p.m u! sama.Iag!p JapuaD Kllue~y!u%!s pappt! alzeq plnoM IED!IS!IEIS aql 01 uaaq palioldwa II! aDuaJagp uIeq~oqu$Z3!H -!pu! sv uatuoM dnoJ8 awes Kpoq ]uaJa#!p I3adsaJ IE~IJOU 3!UOJq3 Bu!u+?q ‘1!SB pama!A 2qow!p-pua pue IsaJ uaaMlaq u!Eldxa t! Kq paJnseaur uaw uaarnlaq aql az!s as!DJaxa palsnfpelqt?!aht uIa~JouI~sod 01 awJ %U!U+?J] aSpJaXa *asuodsaJ p?c+Kqd 30 larval aqll3ayaJ 1~ xapu! oslf! aJr! Jalq%q ‘uaw ql!M paled ar\gelaJ sa!pnls SI! az!w!xwu K~qwInsaJd s!qL ‘(81) lq8!aM utlql aq$ ‘a%?JaAe ug ~~!p~woKw aAEq (~1) wp~e:, 01 SJn330 IsaJ u! alnlosqv 01 alnq!Jjuo:, sasuaJagp paseq-luno3 pw wawsn[pe Japuat? uam Jaq%q B aAeq 01 $saJ ]e papual KJeuoJo:, u! as!DJaxa Japua% aq] u!eldxa snop”A 08 asuodsaJ alq!ssod JOJ suoymqdxa sawaJa33!p Kpoq Jo3 luauwn~ppe waq Jo3 palsnfpr! UauIOM 30 ]Jeaq uauJoM paluawnDop ‘Indlno $lolo!sKqd aq lq%!m aq$ put12uaw uaawaq anb!uqDal u! uawom aql Jo3 sawaJag!p ‘peo[ 3.10~ yead pue xapu! awloh 3!101se!p-pua IsaJ u! sa3uaJagp Jo3 iuawsn[pe Jal3e uaha ‘($0’0 > d) adols JaleaJ8 e peq uawoM ‘~3s Z T sadols ueaw aql ale u~oqs ‘uaw pue uawom .Ioj a+Jaxajo (SJJM) sluaIe+nba %~oqeiam pue (IAaa) xapu! amnloA Xloise!p-pua pazyXu.Iou uaamlaq u0y~a.I aql i?u!MOqS elep dnoJr;) *p aJn%!$ Ipz~ Jeln3!Jwarz Kue Jaju! uo!peJ3 aAeq pInoh 3golsKs ‘uo!sual 01 papual .as!DJaxa Japuak? aj!uyap IOU s! 11 *asuodsaJ lq%!tu uau4oM puv uaul u! suotrjpuo3 Buj amasand at# ivy1 s! hlgiq.zssod .iaqiouy -pvoj wara$lpJo uog3aca wamn8J~ p]noM ‘Kqdw%o$?w sly] aln3aJ aJaM oqM ‘waged aJT! sasuodsaJ aJouI 31 ‘uog3alas uog2g uo!ga[a u! sama~agp uogm~ ~WJJOU J!aql *pau!eldxa Klawbape sawnloA Kpoq 01 sJeaddr! -wo3 Jalp2uIs -1saJaluI aql l!uIJad 01 uo!wdepe aq UED pur! Bu!uog!puo~ -xa ‘Kpuanbasuo3 .aurnlon puv azis way waJv SU!UO!J -!puo~ pm!shqd myi sarpnis sno&mn uro.$paz!uSo3a~ sj 11 -Jagp *as!DJaxa sadols ‘uatuoM ][email protected] -3!JluaA q%noqgv Ja%JTq aJaM aql ueql as!3Jaxa I OP.0 Jeln . 835 ZT --- UauJOM ET - “WV OP.0 salqt2!J2A ‘JaAaMoH ‘eaJe aq pIno:, -rl2s ~!w,ualsKs pals!sJad aql asrwaq Kq paw.I!uu~a ~03 lUaU.IlSn[pe *uawoM llo!,3e,, ::1: uo!ioa!3 ~ a~eJ_ms Kpoq sawaJa#!p Japua% _...... .. 08’0 829 JACC Vol. 13. No. 3 March I, 1989:6249 HANLEY ET AL. GENDER-RELATED DIFFERENCES IN EXERCISE determined, because echocardiography was not performed routinely. However, it is possible that this finding was more common in women. Previous studies (20,21) on the effect of mitral valve prolapse on exercise left ventricular function have yielded conflicting results. Conclusions. Our data and those of Higginbotham et al. (4) suggest a gender difference in the response of ejection fraction and end-diastolic volume index to both upright and supine exercise. The gender difference in exercise capacity observed in our clinical patient population does not appear to explain the observed differences in the response of ejection fraction and end-diastolic volume index. References 1. Gibbons RJ, Lee KL. Cobb FR, Jones RH. Ejection fraction response to exercise in patients with chest pain and normal coronary arteriograms. Circulation 1981;64:952-7. 2. Jones RH, McEwan P. Newman GE, Port S, et al. The accuracy of diagnosis of coronary artery disease by radionuclide measurements of left ventricular function during rest and exercise. Circulation 1981:64:586601. 3. Greenberg PS, Berge RD. Johnson KD, Ellestad MH, Ilisas E, Hayes M. The value and limitation of radionuclide angiography with stress in women. Clin Cardiol 1983:6:312-7. 4. Higginbotham MB, Morris KG, Coleman E, Cobb FR. Sex-related differences in normal cardiac response to upright exercise. Circulation 1984:70:357-66. 629 8. Dehmer GJ, Lewis SE, Hillis LD, et al. Nongeometric determination of left ventricular volumes from equilibrium blood pool scans. Am J Cardiol 1980;45:293-300. 9. Clements IP, Brown ML, Smith HC. Radionuclide measurement of left ventricular volume. Mayo Clin Proc 1981;56:733-9. 10. Vatterott PJ, Gibbons RJ. Hu DC, Brown ML, Clements IP. Assessment of left ventricular volume changes during exercise radionuclide angiography in coronary artery disease. Am J Cardiol 1988:61:912-4. 11. Kattus AA, Brock LL, Bruce RA, et al. Exercise Testing and Training of Apparently Healthy Individuals. New York: American Heart Association, 1972:25. 12. Bray GA, ed. Obesity in Perspective. Fogarty International Series on Preventive Medicine, Vol. 2, Part 1. Washington, D.C.: U.S. Government Printing Office, 1975:7. 13. DeBusk RF. Convertino VA, Hung J. Goldwater D. Exercise conditioning in middle-aged men after 10days of bedrest. Circulation 1983;68:24550. 14. Rozanski A, Diamond GA, Berman D, Forrester JS, Morris D, Swan HJC. The declining specificity of exercise radionuclide ventriculography. N Engl J Med 1983:309:518-22. 15. Astrand I. Astrand PO, Hallback 1. Kobom A. Reduction in maximal oxygen uptake with age. J Appl Phys 1973;35:649-54. 16. Naughton J, Haide R. Methods of exercise testing. In: Naughton J, Hellerstein H, eds. Exercise Testing and Exercise Training in Coronary Heart Disease. New York: Academic Press. 1972:88. 17. Grande F, Taylor HL. Adaptive changes in the heart, vessels, and patterns of control under chronically high loads. In: W. F. Hamilton, ed. Circulation. Volume III. Washington. D.C.: American Physiological Society. 1965:2615-77. 18. Smith HL. The relation of the weight of the heart to the weight of the body and of the weight of the heart to age. Am Heart J 1928;4:79-93. 5. Callahan RJ, Frollich HW, McKusick KA, Leppo J. Strauss HW. A modified method for the in vivo labelling of red blood cells with Tc-99m: concise communication. J Nucl Med 1981;23:315-8. 19. Falls HB. Physiological response of females to endurance exercise. In: Implementation of Aerobic Programs. Washington D.C.: American Alliance for Health, 1979:3&51. 6. Federman J. Brown ML, Tancredi RG, Smith HC. Wilson DB. Becker GP. Multiple-gated acquisition cardiac blood pool isotope imaging. Mayo Clin Proc 1978:53:625-33. 20. Newman GE. Gibbons RJ, Jones RH. Cardiac function during rest and exercise in patients with mitral valve prolapse: role of radionuclear angiography. Am J Cardiol 1981:47:lC9. 7. Gibbons RJ, Clements IP. Zinsmeister AR, Brown ML. Exercise response of the systolic pressure to end-systolic volume ratio in patients with coronary artery disease. J Am Coll Cardiol 1987;10:33-9. 21. Gottsdiener JS. Borer JS. Bacharach SL. Green MV. Epstein SE. Left ventricular function in mitral valve prolapse: assessment with radionuelide cineangiography. Am J Cardiol 1981:47:7-13.