- Email: [email protected]
L32 Electrocardiographic diagnostic of left ventricular hypertrophy(LVH). Proposal of modification of cornell criteria
2
ASH XII ABSTRACTS
AJH-APRIL 1997-VOL. 10, NO. 4, PART 2
L29 HYPERTENSIONCONTROLAND OUTCOMES AMONGMEDICAIDBENEFICIARIESIN THE STROKEBELT D.T. Lackleod*, E. H. Corley,B.M. Egarr*,W.P. Bailey, MedicalUniversityof SouthCeroliW Charleston,S.C. Hypertensionand relatedcomplicationshavebeen shownto be inverselyassociatedwith socio-econornicstatus. Medicaidpatients,by definition,quali~ as low economic status. Therefore,the 670,000South CarolinaMedicBid beneficiariesduringtlom 1991-93were analyzedto determinehealthoutcomesassociatedwith hypertension. Appropriatecare can be describedffomthe numberof officevisits,treatmentend indicatorsof compliance,such es prescriptionrefills,etc. The effectivenessof hypertension treatmentfor the Medicaid population iscomplicated as only 46°/0 ofthebeneficiaries,45 yearsend older,ware continuouslycoveredduringthe time period.Further complicatinghypertensiontreatmentwas the significantuse of emergencyrooms for hypertensionfor this population: males24/1000,females44/1000.Assessmentof adverse hypertension-relatedoutcomesidentified bigherrisks of diseasedeterminedby hospitalizationsfor stroke, congestive heart failureand hypertension.This anrdyticalassessment includesthe associationof appropriatetreatmentand hypertension-relatedoutcomesin the at-risk population. The results of these analysesidentifi the particularburden of uncontrolledhighblood pressurein this low socioeconomicpopulation,and suggestthat more effective measures(includingcontinuityof care in a primarycare setting)for hypertensioncontrolcould significantlyreduce complicationsand costs. Key Words: Medicaid,epidemiology,hypertensionoutcomes
L30 ~
IS PRE231CI!ED BY DINFNSIONS OF CUALI’IY OF LIFEIN TREATEDHYPERTENS IVEm. s Aqewall*, J Wikstrand*, B Fagerberg. Dspartsm?nt of Hicine andWallenterg Laboratory forCardiovascular research, Sahlgrenska University Hospital, G6tetxxg University, Sweden. The aimwas to, in a proa~ive study, examineif dimensions of qualityof lifewas associated withfuturestrokeandnryccardial infarction in treatedhypertensive otsn. Four hundredtwlve mm, aged50 to 72 years,with treatedh~rtension andat leastoneadditional cardiovaamlar riskfactor(hypxcholesterolenria, diatetea mellitua or amking) filledin a minor symptanevaluation profilequestionnaire (NSEP). ‘Ihese ptientswarerecruited franan on-going riskfactorintervention study.Theman observation timewas 6.2yeara.Sixtyfour patients had a myocardial infarction and 37 had a strokeduringthe foil-up ~ricd. Preeence of cardiovascular diaeme at entrywas asscmiated witha reducedqualityof lifeas measuredby thethreedimensions of NSEP;contentnmt, vitality and sleep(FKO.01). AI.1 the three dimensions of NSEPwerepredictors of stroke (p
L31
L32
SSPAND DBPIN ADOLESCENTS12-16YEARSOLD. CORRELATIONWITH EXTRASALTCONSUMPTION. AKTyrologos, SD Simeonides, P Doulgerides, A GartrowulouTyrologou, andKavalaTrialInvestigators Group.Oepertnrerrtof Cardiohgy,Genera/HospitalofKavala,Kava/a,Greece. TheaimMthis studyisto levelthebloodpressureand thecorrelation withthehabitofestrasaltcensuption inedoleecants.Oursampleconsisted of5160highschoolstudents ofboth sexes(26341boysand2520girla)12-15yearaold(y.o.) (mean age 13,3M3.66Y.o.). Theyreprasent700,4G+thisage inourarea. We meaauredtheHeight(H),theWeight(W), theSBPandthe DBP.We estimatedtheBedyMaasIndex(BMI).We askedthe adolesrsntsiftheyuseextrasaltwiththeirmeala.We devided theminthreedifferentgroupaL according totheirage, 12, 13, 14, y.o.,Il. baaedon BMI,inslim(A),withidealweight(B)andobese (C),andIll. depending onsaltcnnsuption inusers(1) andno users(2).The resultawereanalyzedstatistically withLSD-test andincorrelationbetweenthem.
DIAGNOSTIC OF LEFT VENTRICULAR ELECTROCARDIOGRAPHIC HYPERTROPHY(LVH). PROPOSAL OF MODIFICATION OF CORNELL CRITERIA. ‘,GMW, MntIn M’, B@ J’, W MA’, CsmpiWOM’,Pim’m OsiNA’, LQf Urd or Lhs Hcspnsl Bad PSI?, Imritu J’. W Hss6h Cmh?W@snsim Mhdi.&athi mobtm2aacpsrrmsres Fsld aslcswm M_~~
Aeshub
168bhl WdaM mssniaD -eo 157,2+7,4 U,4+5,9 157,5+7,9 U,E*,! o,a(Na) 0,7 (NS) 162,W6,S 50,6*,4 le3,ti7,3 50,%5,4 0,2 (NS) O,a(NS) 14 :;,S1 laS,8*S,7 M,S+7,2 140.y,B2 167,7*7,4 55,&3,2 0,2 (Na) 0,2 (Ne) 12 O,y.Bl 120,y,B2 P130.y.Bt 130.y.B2
eep rn8miS0 SS,I+1O,6 S8,W1,S o,6(Ne) 103,1+11,9 102,9+12,4 0,S (NS) 106,5+14,2 IC%3*12,4 0,s (Na)
Convhameorldsem oap mameD aBPlan OBPIM 57,0*9,7 OBP/dl aBPlall 5S,e*S,9 0,6 (Na) ae.w omwaap 69,S+10,5 sapkdt oBweep 5S,7*1O,4 0,S (Na) S2,2*1O,3 eBPhV,OSPDBPleBP sBP/a# OBP/SBP 62,3+10,8 0,9 (Ne)
pcO.06PC&W
Fr~; theresultsanalysis,partofwhicharedescribedonthe tableabovaconcerning theusersor nouaarswithidealbody weightfromall ages,wefoundoutthatstatistically therearan’t significant differences Mween all aubgroupsandall meaeured parameters (tmight,weight,SBP,DBP).Thereisa goodpositive relationbetweenSBPandDBPwithaga,weight,heightandbetweeneachother,inthesegroupsmentioned above.Theresults wereaboutthesameinall othersubgroups. in adolesInconclusion we cansaythattheextrasaltconsumption cante nutrition eeem6 to hava no correlation with SBPandDBP. Key
Welds:
Adolescents, SBP,DBP,Salt.
(Sfmh).
LVH b a W ISCOOnkSdCSFJIW=.WIW risk fscrar. Ths ~ (EKG) b msmmlOd OrdrdcshlnlscwIssc e@@Jm OfssasrW hy@msbn (HTN) MJSlhb tschrdqushas 1 lack d ssfawsy (S) in Ihs dlqnmb d LVH wlwn cc+qnmd ~ ~ (ECHO). PSOJOIMratfmmd in OuflxWlrylWsshuml rtwobsskal EKGailsfbhmalw.w S lhmrs@sd inlSsrsWs ornwsnaltuis we .Sm@rmdIhs pmssrkshdytotryhr ~iramxmkamn Mamc& 257 m, qs Isklsrm ~~sP@=Y(E). C-N -s8 yssr.dd Wsh acsnlbl HTN ~~~~*~@a PfimsIYCM’SCalm An EKG snd M ECHO wsrs pulOmNi ra Ss ths p&brAa. m mK4udsdc4rhssn&@e, ~orlhs pse$ceer!en burdhmokor -~ htamlbn hths EKG. LVHwSSdsrlnsdwhSII N6tw$IMuSU s@mdpsstnr@cm3d rmss kleml w =134#m~ in mssa d =110 ek+ h fsmslss. a, E Ual scswscy ~radewckaial EKG uSwb. CarnsMkdsx(x23 mn in fomdsc, >= mm in dss)elwssda hbhsr S III CUPWIIMbmthM mstof EKG crSsrN (SSS * 1). we Smrpd ms ball C&#lgm& ~ ~ ~ SSE (,ssrlaws 1). (ROC)-lodrbhr IhOm51PA s 1042.6% RWMS Cm’ISWlIIdm>14mm hwnmm d >16 nnn In man ~ W rhs dlqpcds or LVH In cur (E=SS.5%) snd 25.S?4 (E-52.7%) rsps@+
ai
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.
ASH XII ABSTRACTS
AJH-APRIL 1997-VOL. 10, NO. 4, PART 2
L29 HYPERTENSIONCONTROLAND OUTCOMES AMONGMEDICAIDBENEFICIARIESIN THE STROKEBELT D.T. Lackleod*, E. H. Corley,B.M. Egarr*,W.P. Bailey, MedicalUniversityof SouthCeroliW Charleston,S.C. Hypertensionand relatedcomplicationshavebeen shownto be inverselyassociatedwith socio-econornicstatus. Medicaidpatients,by definition,quali~ as low economic status. Therefore,the 670,000South CarolinaMedicBid beneficiariesduringtlom 1991-93were analyzedto determinehealthoutcomesassociatedwith hypertension. Appropriatecare can be describedffomthe numberof officevisits,treatmentend indicatorsof compliance,such es prescriptionrefills,etc. The effectivenessof hypertension treatmentfor the Medicaid population iscomplicated as only 46°/0 ofthebeneficiaries,45 yearsend older,ware continuouslycoveredduringthe time period.Further complicatinghypertensiontreatmentwas the significantuse of emergencyrooms for hypertensionfor this population: males24/1000,females44/1000.Assessmentof adverse hypertension-relatedoutcomesidentified bigherrisks of diseasedeterminedby hospitalizationsfor stroke, congestive heart failureand hypertension.This anrdyticalassessment includesthe associationof appropriatetreatmentand hypertension-relatedoutcomesin the at-risk population. The results of these analysesidentifi the particularburden of uncontrolledhighblood pressurein this low socioeconomicpopulation,and suggestthat more effective measures(includingcontinuityof care in a primarycare setting)for hypertensioncontrolcould significantlyreduce complicationsand costs. Key Words: Medicaid,epidemiology,hypertensionoutcomes
L30 ~
IS PRE231CI!ED BY DINFNSIONS OF CUALI’IY OF LIFEIN TREATEDHYPERTENS IVEm. s Aqewall*, J Wikstrand*, B Fagerberg. Dspartsm?nt of Hicine andWallenterg Laboratory forCardiovascular research, Sahlgrenska University Hospital, G6tetxxg University, Sweden. The aimwas to, in a proa~ive study, examineif dimensions of qualityof lifewas associated withfuturestrokeandnryccardial infarction in treatedhypertensive otsn. Four hundredtwlve mm, aged50 to 72 years,with treatedh~rtension andat leastoneadditional cardiovaamlar riskfactor(hypxcholesterolenria, diatetea mellitua or amking) filledin a minor symptanevaluation profilequestionnaire (NSEP). ‘Ihese ptientswarerecruited franan on-going riskfactorintervention study.Theman observation timewas 6.2yeara.Sixtyfour patients had a myocardial infarction and 37 had a strokeduringthe foil-up ~ricd. Preeence of cardiovascular diaeme at entrywas asscmiated witha reducedqualityof lifeas measuredby thethreedimensions of NSEP;contentnmt, vitality and sleep(FKO.01). AI.1 the three dimensions of NSEPwerepredictors of stroke (p
L31
L32
SSPAND DBPIN ADOLESCENTS12-16YEARSOLD. CORRELATIONWITH EXTRASALTCONSUMPTION. AKTyrologos, SD Simeonides, P Doulgerides, A GartrowulouTyrologou, andKavalaTrialInvestigators Group.Oepertnrerrtof Cardiohgy,Genera/HospitalofKavala,Kava/a,Greece. TheaimMthis studyisto levelthebloodpressureand thecorrelation withthehabitofestrasaltcensuption inedoleecants.Oursampleconsisted of5160highschoolstudents ofboth sexes(26341boysand2520girla)12-15yearaold(y.o.) (mean age 13,3M3.66Y.o.). Theyreprasent700,4G+thisage inourarea. We meaauredtheHeight(H),theWeight(W), theSBPandthe DBP.We estimatedtheBedyMaasIndex(BMI).We askedthe adolesrsntsiftheyuseextrasaltwiththeirmeala.We devided theminthreedifferentgroupaL according totheirage, 12, 13, 14, y.o.,Il. baaedon BMI,inslim(A),withidealweight(B)andobese (C),andIll. depending onsaltcnnsuption inusers(1) andno users(2).The resultawereanalyzedstatistically withLSD-test andincorrelationbetweenthem.
DIAGNOSTIC OF LEFT VENTRICULAR ELECTROCARDIOGRAPHIC HYPERTROPHY(LVH). PROPOSAL OF MODIFICATION OF CORNELL CRITERIA. ‘,GMW, MntIn M’, B@ J’, W MA’, CsmpiWOM’,Pim’m OsiNA’, LQf Urd or Lhs Hcspnsl Bad PSI?, Imritu J’. W Hss6h Cmh?W@snsim Mhdi.&athi mobtm2aacpsrrmsres Fsld aslcswm M_~~
Aeshub
168bhl WdaM mssniaD -eo 157,2+7,4 U,4+5,9 157,5+7,9 U,E*,! o,a(Na) 0,7 (NS) 162,W6,S 50,6*,4 le3,ti7,3 50,%5,4 0,2 (NS) O,a(NS) 14 :;,S1 laS,8*S,7 M,S+7,2 140.y,B2 167,7*7,4 55,&3,2 0,2 (Na) 0,2 (Ne) 12 O,y.Bl 120,y,B2 P130.y.Bt 130.y.B2
eep rn8miS0 SS,I+1O,6 S8,W1,S o,6(Ne) 103,1+11,9 102,9+12,4 0,S (NS) 106,5+14,2 IC%3*12,4 0,s (Na)
Convhameorldsem oap mameD aBPlan OBPIM 57,0*9,7 OBP/dl aBPlall 5S,e*S,9 0,6 (Na) ae.w omwaap 69,S+10,5 sapkdt oBweep 5S,7*1O,4 0,S (Na) S2,2*1O,3 eBPhV,OSPDBPleBP sBP/a# OBP/SBP 62,3+10,8 0,9 (Ne)
pcO.06PC&W
Fr~; theresultsanalysis,partofwhicharedescribedonthe tableabovaconcerning theusersor nouaarswithidealbody weightfromall ages,wefoundoutthatstatistically therearan’t significant differences Mween all aubgroupsandall meaeured parameters (tmight,weight,SBP,DBP).Thereisa goodpositive relationbetweenSBPandDBPwithaga,weight,heightandbetweeneachother,inthesegroupsmentioned above.Theresults wereaboutthesameinall othersubgroups. in adolesInconclusion we cansaythattheextrasaltconsumption cante nutrition eeem6 to hava no correlation with SBPandDBP. Key
Welds:
Adolescents, SBP,DBP,Salt.
(Sfmh).
LVH b a W ISCOOnkSdCSFJIW=.WIW risk fscrar. Ths ~ (EKG) b msmmlOd OrdrdcshlnlscwIssc e@@Jm OfssasrW hy@msbn (HTN) MJSlhb tschrdqushas 1 lack d ssfawsy (S) in Ihs dlqnmb d LVH wlwn cc+qnmd ~ ~ (ECHO). PSOJOIMratfmmd in OuflxWlrylWsshuml rtwobsskal EKGailsfbhmalw.w S lhmrs@sd inlSsrsWs ornwsnaltuis we .Sm@rmdIhs pmssrkshdytotryhr ~iramxmkamn Mamc& 257 m, qs Isklsrm ~~sP@=Y(E). C-N -s8 yssr.dd Wsh acsnlbl HTN ~~~~*~@a PfimsIYCM’SCalm An EKG snd M ECHO wsrs pulOmNi ra Ss ths p&brAa. m mK4udsdc4rhssn&@e, ~orlhs pse$ceer!en burdhmokor -~ htamlbn hths EKG. LVHwSSdsrlnsdwhSII N6tw$IMuSU s@mdpsstnr@cm3d rmss kleml w =134#m~ in mssa d =110 ek+ h fsmslss. a, E Ual scswscy ~radewckaial EKG uSwb. CarnsMkdsx(x23 mn in fomdsc, >= mm in dss)elwssda hbhsr S III CUPWIIMbmthM mstof EKG crSsrN (SSS * 1). we Smrpd ms ball C&#lgm& ~ ~ ~ SSE (,ssrlaws 1). (ROC)-lodrbhr IhOm51PA s 1042.6% RWMS Cm’ISWlIIdm>14mm hwnmm d >16 nnn In man ~ W rhs dlqpcds or LVH In cur (E=SS.5%) snd 25.S?4 (E-52.7%) rsps@+
ai
.
-
. . ,-----
*.—m “~1= ,9#~—&#m8s...
KeyWorda:
—n . . . . . .. . . . . .. . . . . . . “.,---“...,“m.s...~?”-””
.?.”% . . . .
8 i . 4 “ ! “ .-, !
* 0= ?# u -
.