ArticlePDF Available

Risk Factor Profile of Young Adult Myocardial Infarction (MI) Cases : A Cross-Sectional Study at Tertiary Care Centre of Gujarat, India 1 2 3

Authors:

Abstract and Figures

Introduction : India has observed rapid transition from burden of communicable diseases to non-communicable diseases over the past couple of decades and Ischemic heart disease (IHD) is established as modern era's epidemic. Global and national data pointed out that as per situation in 2014, IHD ranked 1st causing deaths [1,2] and disabilities, both globally and nationally. More than half of the worldwide cardiovascular disease risk burden is estimated to be borne by Indian [3] subcontinent by 2020. Moreover migration studies showed that Indians are 3-4 times higher at risk of Coronary artery disease (CAD) than White Americans, 6 times higher than Chinese and 20 times [4,5] higher than Japanese. Not only that but Indians are [6] also prone to CAD at much younger age. Studies carried out in India, and other places suggest that Asian in general and Indians in particular are at an [7] increased risk of MI at younger age (<40 years). The Abstract : Introduction: Myocardial Infarction (MI) is a life threatening clinical condition. It is a multifactorial non-communicable disease involving interplay of many modifiable and non-modifiable risk factors. Objective: The study was conducted with objective to study socio-demographic profiles and distribution of risk factors among young adults having MI. Method: A study was conducted at tertiary care centre of Rajkot, Gujarat. One year time frame was decided for this cross-sectional study. All the patients having age <45 years admitted in Intensive Care Unit (ICU) of Medicine department with first attack of MI were interviewed and examined for various clinic-epidemiological determinants of MI. Results: Total 106 young MI cases were enrolled in the study. Relative frequency showed male preponderance (88.7%). Risk factors like tobacco uses, sedentary lifestyle and obesity were identified as risk factors relatively more frequently associated with young MI cases. In contrast to old MI cases, proven risk factors like hypertension and diabetes mellitus were found less frequently associated. About one third of the cases were lacking adequate amount of protective foods (green leafy vegetables and fruits) in their daily diet. Four patients without any risk factor except male gender were noted. 50% cases were having three or less number of risk factors. Conclusion: The findings suggest male preponderance, tobacco consumption, sedentary lifestyle and obesity as quite common risk factors of premature Coronary Artery Disease (CAD).
Content may be subject to copyright.
::42::
RiskFactorProfileofYoungAdultMyocardialInfarction(MI)Cases:
ACross-SectionalStudyatTertiaryCareCentreofGujarat,India
1 2 3
BharatkumarM.Gohel ,RajanUpadhyay ,RajeshChudasama
1 2 3
AssistantProfessor, ResidentDoctor, AssociateProfessor,DepartmentofPreventiveandSocialMedicine,
PDUGovt.MedicalCollege,Rajkot,Gujarat,India
Correspondence:Dr.BharatkumarM.Gohel,Email:drbmgohel@gmail.com
Introduction:
Indiahasobservedrapidtransitionfromburden
of communicable diseases to non-communicable
diseasesoverthepastcoupleofdecadesandIschemic
heart disease (IHD) is established as modern era's
epidemic.Globalandnationaldatapointedoutthatas
persituationin2014,IHDranked1stcausingdeaths
[1,2]
anddisabilities,bothgloballyandnationally. More
than half of the worldwide cardiovascular disease
risk burden is estimated to be borne by Indian
[3]
subcontinentby2020. Moreovermigrationstudies
showedthatIndiansare3-4 timeshigheratrisk of
Coronary artery disease (CAD) than White
Americans,6timeshigherthanChineseand20times
[4,5]
higherthanJapanese. NotonlythatbutIndiansare
[6]
also prone to CAD at much younger age. Studies
carried out in India, and other places suggest that
AsianingeneralandIndians in particularareatan
[7]
increasedriskofMIatyoungerage(<40years). The
Abstract:
Introduction:MyocardialInfarction(MI)isalifethreateningclinicalcondition.Itisamultifactorial
non-communicable disease involving interplay of many modifiable and non-modifiable risk factors.
Objective:Thestudywasconductedwithobjectivetostudysocio-demographicprofilesanddistributionof
riskfactorsamongyoungadultshavingMI.Method:AstudywasconductedattertiarycarecentreofRajkot,
Gujarat.Oneyeartimeframewasdecidedforthiscross-sectionalstudy.Allthepatientshavingage<45
yearsadmittedinIntensiveCareUnit(ICU)ofMedicinedepartmentwithfirstattackofMIwereinterviewed
andexaminedforvariousclinic-epidemiologicaldeterminantsofMI.Results:Total106youngMIcases
wereenrolled in thestudy.Relativefrequency showedmale preponderance (88.7%).Risk factors like
tobaccouses,sedentary life-styleandobesity wereidentifiedas risk factorsrelativelymore frequently
associatedwith youngMI cases.In contrastto oldMI cases, provenrisk factorslike hypertensionand
diabetesmellituswerefoundlessfrequentlyassociated.Aboutonethirdofthecaseswerelackingadequate
amountofprotectivefoods(greenleafyvegetablesandfruits)intheirdailydiet.Fourpatientswithoutany
riskfactorexceptmalegenderwerenoted.50%caseswerehavingthreeorlessnumberofriskfactors.
Conclusion:The findings suggest male preponderance,tobacco consumption, sedentary life-styleand
obesityasquitecommonriskfactorsofprematureCoronaryArteryDisease(CAD).
KeyWords:CoronaryArteryDisease,MyocardialInfarction,RiskFactors,YoungAge
OriginalArticle
proportionof CAD inyoung Indians isabout 12%-
[8,9]
16%.
Althoughtheroleofconventionalriskfactorsfor
coronaryarterydiseaseisprovenforallagegroups,
younger patients show different risk factor profile,
clinicalpresentationandprognosis.Managementof
youngpatientsisachallenging taskastheyarethe
main income producer of the family. Myocardial
infarctionatanearlyageisanimportantproblemfor
theconsultingphysicianaswellbecauseitishaving
devastating effect on quality of life and survival of
young adults. So, present study was conducted to
identifythe proportion of youngMI cases and risk
factorprofileofMIcaseshavingage<45years.
Method:
Thecross-sectionalstudydesignwasadoptedfor
presentstudy.Itwasconductedfrom1stApril2016
to 31st March 2017 at PDU Govt. Medical College
Hospital,Rajkot.Thehospitalisatertiarycarecentre
HealthlineJournalVolume11Issue1(January-June2020)
::43::
as having sedentary life style. Modified Prasad's
socioeconomic classification was used considering
AllIndiaConsumerPriceIndex(AICPI)ofApril,2017
[13]
ofRajkot. BodyMassIndex (BMI)was calculated
and classified using World Health Organization
[14]
(WHO)classification. Cut-offpointsforhighwaist
tohipratio(W:Hratio)wereadoptedfromtheWHO
guidelinestatingW:Hratio0.90 formale and
0.85forfemaleishavingsubstantiallyincreasedrisk
[15]
ofmetaboliccomplications. Dataentrywasdonein
MicrosoftOffice Excel 2007 and analysis wasdone
usingthesoftwarepackageEpiInfo(Version7.2.2.6)
[16]
fromCDC,Atlanta,U.S.A.
Results:
Total106youngMIpatientshavingfirstattackof
MIwereadmittedatPDUHospital,Rajkotduringone
yearperiod.It is 26.1%oftotal406casesadmitted
during this period. The youngest patient of MI in
presentstudywasof24yearsonly.Thestudyshowed
that6.6%amongyoungMIcaseswerebelowtheage
of30years.Steepriseobservedattheageof35years.
Therewasamalepreponderancewith88.7%males
and11.3%females.(Table1)
Present study revealed that most of the cases
were from urban area, joint family and literate.
Manuallabourerwasthe singlegrouphavingmore
thanhalfofcases.Morethanhalfofthe caseswere
fromuppermiddleanduppersocio-economicclass.
(Table2)
cateringentireSaurashtraregionofGujarat.Thereis
disparity in literature for the cut-off age of young
Myocardial Infarction (MI) case varying from <30
yearsto<55years.Cut-offpointof45yearsagewas
[10]
usedtodefineyoungMIpatient. Thestudysubject
enrolledinthestudywereselectedfromthepatient
admittedintheIntensiveCareUnit(ICU)ofMedicine
department having first attack of MI. Following an
attackofMI,person'shabitsandriskfactorsprofile
might be altered because of post-MI life-style
modifications. So, only the persons having first
knownMIincident wereenrolledinstudy.Patients
below 45 years of age who were conscious, co-
operative,wellorientedwereenrolledafterinformed
consent. Patientsseriously ill, unconscious ornon-
willingtoparticipatewereexcludedfromthestudy.
Forthisstudyapersonwasconsideredasacaseof
MI, if any two of the following three criteria were
satisfied:(1)ECGshowingSTsegmentelevation,(2)
risein CK-MB levels >25 IU/l or (3) symptoms of
ischemialasting for> 20 minutes(complain ofleft
sidedchestpainwhichwascompressiveinnature,ill
localized,radiatingtoupperextremity,mandibularor
epigastricregion;mayormaynotbeassociatedwith
nausea,vomiting,palpitation,excessivesweatingor
[11,12]
difficulty in breathing). Patients were admitted
and treated by the treating physician of Medicine
department,PDUHospital,Rajkot.Allinvestigations
weredoneonthebasisofphysician'sdescription.
Thestudywasapprovedbyinstitutional ethical
committee.Datacollectionwasdonebyaninterview
technique using preformed, pretested and semi-
structured questionnaire. Questionnaire included
information regarding socio-demographic profile,
riskfactorprofile,addictionhistory,dietprofileand
notes on examination measurements. Clustering of
riskfactorswasanalysedusingtenriskfactorsnamed
male sex, positive family history, hypertension,
di a b et e s, t o ba c c o c o n su m p ti o n , a l c oh o l
consumption, history of OC pills consumption,
sedentary life style, stress due to acute life event,
obesity and frequency of protective diet intake<5
days per week. Persons having continuous daily
physicalexerciseoflessthan30minutesadayfor5
days a week were considered physically active.
Personsnotfittinginthedefinitionwereconsidered
Table1:Ageandsexdistributionofyoung
myocardialinfarctioncases
Age
(inyears)
Male
(%)
Female
(%) Total(%)
2(1.9) 0(0.0) 2(1.9)
5(4.7) 0(0.0) 5(4.7)
13(12.3) 1(0.9) 14(13.2)
32(30.2) 6(5.7) 38(35.8)
42(39.6) 5(4.7) 47(44.3)
Total 94(88.7) 12(11.3) 106(100.0)
21-25
26-30
31-35
36-40
41-45
Goheletal, RiskFactorProfileofYoungAdult.....
::44::
Variable Frequency(%)
Residence
Urban 79(74.5)
Rural 27(25.5)
Maritalstatus
Married 105(99.1)
Unmarried 1(0.9)
Literacystatus
Illiterate 15(14.2)
Literate 91(85.8)
Occupation
Service 34(32.1)
Manuallabour 56(52.8)
Household 12(11.3)
Agriculture 4(3.8)
Socio-economicclass
ClassI&II 58(54.7)
ClassIII 36(34.0)
ClassIV&V 12(11.3)
Typeoffamily
Nuclear 42(39.6)
Joint 64(60.4)
Table2:Socio-demographicproileofyoung
myocardialinfarctioncases
In present study it was found that all the
frequentlyrelatedriskfactorsofMIweremodifiable
riskfactorsexceptmalepreponderanceandpositive
family history of CAD among first order relatives.
Sedentary life-style (68.9%), tobacco consumption
(61.3%) and obesity (46.2%) ranked on first 3
positions while hypertension (4.7%) and diabetes
mellitus(4.7%)bothstoodasatthelowestrankas
relatedriskfactorsamongyoungMIcases.(Figure1)
Figure1:Comparisonofriskfactorspresentin
youngmyocardialinfarctionpatients
FamilyhistoryofCADwaspresentin26.4%cases
while tobacco consumption was present in 61.3%
cases. Consumption of leafy vegetables for <5
days/week (35.8%) were identified as other
frequentlyrelatedriskfactorsinyoungMIpatients.
(Table3)
One fifth (20.8%) cases were found having
clustering of one or two risk factors. Maximum
numbersofpatients(66%)werehavingclusteringof
threetofiveriskfactors.(Table4)
Discussion:
Coronary Artery Diseases (CAD) in India is not
only tolling country's economy by the mean of
lifelongmedicationsandincidentaladmissionsplus
interventions but also affecting physically and
mentallyproductiveagegrouphavingresponsiblyof
family and at workplace. Risk factors involved in
prematureMIaredifferentfromthatofoldMIcases
andsoarethepreventivemeasures.
Presentstudyreportedtwoyoungestcasesatthe
ageof24yearswithmeanage40.08years.Fewother
studiesalsoreportedMIcasesatyoungerageof22
[17,18]
years. OtherGujaratbasedstudiesreportedmean
[19,20]
ageofyoungMIcasesas 35years. Lowermean
ageinthesestudieswasbecauseoflowercut-offage
(<40years)indefiningyoungMIcase.Itisalsofound
inpresentstudythat19.8%caseswereasyoungas
below35yearsofage.
The study found male preponderance having
88.7%malecases.Male: Femaleratiowasfoundas
highas7.8:1inpresentstudy.Inpreviousstudiesthe
genderdistributionofyoungMIinmenreportedtobe
[17-19,21,22]
between72-99%.
HealthlineJournalVolume11Issue1(January-June2020)
::45::
Table3:RiskfactorproileofyoungMIcases
Risk factor Frequency (%)
Family history of myocardial infarctionPresent
Hypertension Present
Diabetes Mellitus Present
Tobacco consumption Present
Alcohol consumption Present
History of oral contraceptive pills use Present*
Sedentary life-style Present
Green leafy vegetable consumption <5 days/week
28 (26.4)
5 (4.7)
5 (4.7)
65 (61.3)
9 (8.5)
7 (58.3)
73 (68.9)
38 (35.8)
Fruit consumption <5 days/week
Acute life event during last year Present
Type of personality Type A
Body Mass Index (BMI) BMI25 kg/m2
Waist : Hip(W:H) ratio 0.90 for male
and 0.85 for female
9 (8.5)
21 (19.8)
33 (31.1)
19 (17.9)
49 (46.2)
*onlyfemalecasesconsideredindenominator(n=12)
Table4:Clusteringofdifferentriskfactorsamong
youngmyocardialinfarctioncases
Numberof
riskfactors
Frequency
(%)
Cumulative
frequency(%)
14(3.8) 4(3.8)
218(17.0) 22(20.8)
330 (28.3) 52(49.1)
423(21.7) 75(70.8)
517(16.0) 92(86.8)
611(10.4) 103(97.2)
71(0.9) 104(98.1)
82(1.9) 106(100.0)
Fre q ue n cy d is t ri b ut i on re ve a le d th a t
demographically more number of cases was noted
from urban area (74.5%), literates (85.8%), upper
socio-economic class (54.7%) and joint family
(60.4%). North India based study at tertiary care
centre reported 71% cases from rural area. It was
because the hospital was rural area based tertiary
[21]
carecentre. Italsonoticedthat105(99.1%)cases
weremarried personsandthe findingisconsistent
with our study. Our study reported 52.8% manual
labourer cases which were higher than 34% cases
reported in North India based study. The probable
reasonisusingdifferentclassificationofoccupational
[21]
divisionsbythestudy.
Familyhistoryof CADamongfirstdegreeblood
relatives was present in about one fourth (26.4%)
patients.OtherGujaratbasedstudiesfromBhavnagar
andAhmedabadreportedpositivefamilyhistory of
Goheletal, RiskFactorProfileofYoungAdult.....
::46::
[19,20]
CADin13% and 19%casesrespectively. Lower
numberofpositivefamilyhistoryinBhavnagarbased
studywouldbebecauseoflimitedsamplesizeof30
cases.
Tob acc o co ns u mp tio n is an i mp ort ant
independent risk factor for CAD in young adults.
Tobacco consumption was found to be as high as
61.3% among cases. Similar finding (58.7%) was
[23]
noted by Mukherjee et al. Narang et al. found
88.24% young MI cases having habit of tobacco
[21]
consumption. InsameNorthIndiabasedstudythey
found70.58%casestakingalcoholwhilealcoholuse
as we found in our study was only in 8.5% cases.
Status of Gujarat being dry state and alcohol
consumption banned by law could be reason for
same.
Amongfemalecasesoutoftotal12morethanhalf
(58.3%)gavethehistoryofOCpillsusage.OCpillsuse
isconsideredasoneamongtheriskfactorsmostof
thestudies doneon MIof allages. Buttwo studies
done on young MI cases showed none of the
[ 1 9 , 2 4 ]
participant was using OC pills. Socio-
demographicandculturalbackgroundcould bethe
possiblereasonbehindit.
High blood pressure and high blood sugars are
keydeterminants and provenrisk factors of MI. In
presentstudyoutof106casesonly5(4.7%)reported
hypertension and same number of patients were
foundtobediabetics.Similarfindingswerefoundin
Pakistanbasedstudyhaving6.6%hypertensiveand
[24]
3.3% diabetic cases in young MI. Gupta et al.
reported higher number of young MI cases having
[19]
hypertension(33%)and diabetes(37%). Gujarat
based study reported 16% hypertensive and 11%
[20]
diabetic. Narang et al. also reported 11.76%
hypertensive and 23.53% diabetic in their
[21]
study. Kolkata based study also reported 24%
[20]
diabeticand18%hypertensive.
Sedentary life style was found in 68.9% cases.
Considering active and productive younger
populationgroupthisfigureisquietsignificant.Other
studyalso supported thefinding having significant
[19]
number of cases with sedentary life style. With
higherW:Hratio46.2%casesfound obese.Obesity
among young MI using BMI criteria was as low as
17.9%only.Thisclearlyindicatescentralobesity is
moreimportantriskfactorthanhigherBMI.
Stressfullifecondition in termof occurrenceof
anyacutelifeeventinpastoneyearwaspresentin
19.8%cases. Naranget al.too intheir studyfound
insignificantnumberofcases(11.77%)havingroleof
[21]
stressasriskfactor.
InUKbasedprospectiveanalysisbyCroweetal.
showed that risk of MI is 32% less among
[25]
vegetarians. In present study we found that
inclusion of fruits and green leafy vegetables in
regulardietasprotectivefoodweremissingin8.5%
and35.8%casesrespectively.InSaurashtraregionas
a cultural practise vegetarian diet is predominant
one. The families having predominant non-
vegetariandietarelessin number. Sootherfactors
mightbeplayingroleasariskfactors.
Inourstudy4(3.8%)youngMIcaseswerehaving
onlyoneriskfactorandthatwasthemalegender.It
indicates occurrence of MI at younger age even
withoutanyestablishedknownriskfactors.Pakistan
basedstudyshowedonly1(0.01%)casehadsingle
[24]
riskfactor. wefound50%caseshavingclusteringof
more than 3 risk factors. Similar findings were
[26]
suggestedinstudybyAkhtaretal.
Conclusion:
Male gender, tobacco consumption, sedentary
life-style and obesity are the major risk factors
associatedwithCADinyoungerage.Patientsbelow
theageof30yearsarealsoreportedwhichindicates
needofattentionevenbeforetheageof30years.Very
fewpersonswerehavinghypertensionanddiabetes
atyoungeragewhichindicatesthelikelychancesof
missingattentiontootherriskfactorsandlifestyle
modifications.Exceptmalegenderandfamilyhistory
of MI all the frequently associated risk factors like
tobaccoconsumption,sedentarylifestyleandobesity
arewellmodifiableriskfactorsinthisparticularage
group.
Recommendations:
Screeningatyoungeragenotonlyforhighblood
pressure and high sugar level but also for early
warning sign and symptoms should be done. Non-
sedentary life style with obesity prevention and
HealthlineJournalVolume11Issue1(January-June2020)
::47::
tobaccofreeyouthshouldbegivenmoreimportance
atyoungerageandmustbeaddressedasprimordial
andprimarypreventionagenda.
Limitations:
The study included only one tertiary care unit
whichcanposeaproblemofselectionbias.Thisstudy
isa descriptivestudy withfrequency analysisonly,
comparative studies can help more in determining
levelofsignificanceforanyparticularriskfactor.
Declaration:
Funding:Nil
ConflictofInterest:Nil
References:
1. WorldHealthOrganization.Globalhealthestimates:Deathsby
Cause, Age, Sex and Country, 2000-2012. Geneva; 2014.
A va i l a b l e a t : ht t p : / / w w w . w h o . i n t / h e a l t h i n f o /
global_burden_disease/estimates/en/index1.html.Accessed31
January2017.
2. Institute of Health Metrics and Evaluation. Available at:
http://www.healthdata.org/India.Accessed18January2016.
3. Yusuf S, Ounpuu S. Tackling the growing epidemic of
cardiovascular disease in South Asia. J Am CollCardiol.
2001;38(3):688-89.
4. EnasEA,GargA,DavidsonMAetal.Coronaryheartdiseaseand
itsriskfactorsinthefirstgenerationimmigrantAsianIndiansto
theUnitedStatesofAmerica.IndianHeartJ1996;48:343-54.
5. EnsaEA,SalimYusuf.Thirdmeetingoftheinternationalworking
grouponcoronaryarterydiseaseinSouthAsians.IndianHeartJ
1995;51:99-103.
6. JanusED,PostiglionA,SinghRBetal.ThemodernizationofAsia:
Implica tio ns for coronary heart disease . Ci rculation
1996;94:2671-3.
7. YusufS, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et
al.Effectof potentially modifiable risk factors associatedwith
myocardialinfarctionin52countries(theINTERHEARTstudy):
Case-controlstudy.Lancet2004;364:937-52.
8. NegusBH,WillardJE,GlamannDBetal.Coronaryanatomyand
prognosis of young, asymptomatic surviovors of myocardial
infarction.AmJMed1994;96:354-8.
9. MammiMV,PavithranK,AbduRahimanPetal.Acutemyocardial
infarction in North Kerala – A 20 year hospital based study.
IndianHeartJ1991;43:93-6.
10. OliveiraA,BarrosH, AzevedoAetal.Impactofrisk factors for
non-fatal acute myocardial infarction. Eur J Epidemiol
2009;24:425-32.
11. Cabaniss CD. Clinical Methods: The History, Physical and
Laboratory Examinations. 3rd ed. Butterworth Publishers;
2013.pp.161-3.
12. ThygesenK,AlpertJS,JaffeAS,SimoonsML,ChaitmanBR,White
HD, et al. Third universal definition of myocardial infarction.
Circulation 2012; 126: 2020-35. Available from: doi:
10.1161/CIR.0b013e31826e1058.[Lastaccessedon2018June
06].
13. KumarP.Socialclassification-needforconstantupdate.IndianJ
CommunityMed1993;18:2.
14. World Health Organization (WHO). Global database on body
m a s s I n d e x . W H O , 2 0 0 6 . A v a i l a b l e f r o m :
http://apps.who.int/bmi/index.jsp?introPage=intro_3.html.
Accessed01July2018.
15. Waist Circumference and Waist-Hip Ratio Report of a WHO
Expert Consultation Geneva, 8–11 December, 2008. Available
fro m: https://app s . w h o . i n t / i r i s/bitstream/handl e /
10665/44583/9789241501491_en g.pdf. Accessed 29 April
2019.
16. Center for Disease Control and Prevention. Epi Info version
7.2.2.6, 2018. Available from: https://www.cdc.gov/epiinfo/
index.html.Accessed29April2018.
17. RajeevBhardwaj,ArvindKandoria, Rajeshsharma.Myocardial
infarctionin youngadult-riskfactorsand pattern of coronary
arteryinvolvement.NigerMedJ2014Jan-Feb;55(1):44-47.
18. Tammiraju Iragavarapu, T Radhakrishna, K JagdishBabu, R
Sanghamitra.JPractCardiovasSci2019;5(1):18-25.
19. SaumyaGupta,KrishnaK.Lakhani,HiravaMunshi.Astudyofrisk
factors in young patients of acute coronary syndrome.
International Journal of Contemporary Medical Research.
2017;4(10):2144-2147.
20. Jayesh Prajapati, Hasit Joshi, Sibasis Sahoo, Kapil Virpariya,
Meena Parmar, Komal Shah. Age related differences of novel
atherosclerotic risk factors and angiographic profile among
Guajarati acute coronary syndrome patients. J CliDiagn Res.
2015Jun;9(6):OC05-OC09.
21. Monika Bhandari, Vikas Singh, DeepeshVenkatraman. Nig J
Cardiol2017;14(2):84-91.
22. UditNarang, Ankit Gupta, Sunita Gupta, Nitin Gupta, Sandeep
Joshi,SidharthSharma.InternationalJournalofContemporary
MedicalResearch.2018;5(6):F14-F21.
23. MukherjeeD,Hsu A, Moliterno DJ,Lincoff AM, Goormastic M,
TopolEJ.Riskfactorsforprematurecoronaryarterydiseaseand
determinants of adverse outcomes after revascularization in
patients40yearsold.AmJCardiol2003;92:1465-7.
24. Abdul Wajid Khan Faisal, Mohammad Ayub, Tariq Waseem,
RaoShahzad Abdul Tawwab Khan, Syed SibitulHasnain. Risk
factorsinyoungpatientsofacutemyocardialinfarction.JAyub
MedCollAbbottabad2011;23:12-14.
25. Francesca L Crowe, Ruth C Travis, Tomothy J Key. Risk of
hospitalization or death from ischemic heart disease among
Britishvegetariansandnonvegetarians:resultsfromtheEPIC-
Oxfordcohortstudy.AmJClinNutr2013Mar;97(3):597-603.
26. AkhtarJ,IslamN,KhanJ.Riskfactorsandoutcomeofischemic
heartdiseaseinyoungPakistaniadults.Specialist1993;9:123-6.
Goheletal, RiskFactorProfileofYoungAdult.....
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Context: Although numerous risk factors have been established to predict the development of acute coronary syndrome (ACS), the risk factor profile may be different between the younger and older individuals. Aim: To analyse the frequency and pattern of atherogenic risk factors and angiographic profiles in age-stratified Gujarati patients with ACS. Materials and Methods: ACS patients undergoing coronary angiography at U.N. Mehta Institute of Cardiology and Research, Gujarat, India between January 2008 and December 2012 were classified in to two age groups with 40y as cut-off. Patients were assessed for conventional risk factors (diabetes mellitus, dyslipidaemia, hypertension, smoking, obesity), novel risk factors (high sensitivity C-reactive protein, lipoprotein (a), homocysteine), and angiographic profiles.The statistical difference between two age groups was determined by Student’s t-test for continuous variables and Chi-square or Fisher’s exact test for categorical variables. Results: A total of 200 patients, 100 patients ≤40 y of age and 100 patients >40 y of age, were evaluated. Older patients had higher frequency of hypertension (32 vs. 16%, p=0.008), while family history of coronary artery disease was more common among younger patients (19 vs. 9%, p=0.041). The incidence of diabetes, dyslipidaemia, smoking and tobacco chewing did not vary significantly between the two groups. Total cholesterol and low-density lipoprotein cholesterol levels were significantly higher in the younger group (p
Article
Full-text available
Background: Coronary artery disease (CAD) mostly occurs in persons older than 45 years of age. In India, CAD manifests almost a decade earlier than in Western countries. This study was done to study the risk factors and angiographic profile in young patients presenting with acute myocardial infarction (AMI). Patients and Methods: One hundred and twenty four consecutive patients presenting with AMI at less than 40 years of age were studied for risk factors. Coronary angiography was done in all. Results: Out of 124 patients, 123 were male. Mean age was 35.94 ± yrs. One hundred and eighteen had ST elevation myocardial infarction (MI) (95.16%) and six had non ST elevation MI (5.84%). Anterior wall MI was present in 88 patients (70.97%), inferior wall MI in 31 patients (25%) and lateral wall MI in five patients (4.03%). Seventy three patients (58.8%) were smoker, 55 were hypertensive (44.35%), 10 were diabetic (8.06%). Family history of CAD was present in 22 (17.7%) patients. Low High-density lipoprotein (HDL) was seen in 53 patients (42.7%), and high triglycerides in 60 patients (48.38%). Significant CAD was found in 88 (70.96%) patients, 13 (10.48%) had normal coronaries. Single vessel disease was seen in 57 patients, two-vessel disease in 15 patients and three-vessel disease in eight patients. Total 125 lesions were seen and left anterior descending (LAD) was the commonest vessel involved, with 78 lesions (62.4%). Conclusion: AMI in young almost exclusively occurs in male, and ST elevation MI is the main presentation. Anterior wall MI is most common, with LAD being involved in around 2/3 patients. Smoking, hypertension, low HDL and high triglycerides are the major risk factors.
Article
Full-text available
Ischemic heart disease is a leading cause of death throughout the world. CAD has been recognized among younger age group more frequently in recent years. Very limited data is available regarding the prevalence of various risk factors in our younger patients that is why this study was planed. Objectives of the study were to look for the risk factors most prevalent in our young patient of 1st Acute Myocardial Infarction. And to also look for the number of Risk Factors present in each patient. We studied 100 consecutive patients from 16-45 years of age presenting with first acute MI. Twelve risk factors were studied namely, gender, family history of premature CAD, smoking hypertension, diabetes, dyslipidemia, obesity, mental stress (type A personality), alcohol, oral contraceptive pills (OCPs), physical activity, and diet. We divided the patients into two groups. Group A with patients 35 years of age or less and group B with patients 36-45 years of age. All risk factors were compared in both the groups. Smoking, diabetes mellitus, dyslipidemia and hypertension were statistically different between the two groups. Frequency wise risk factors were lined up as male sex (91%) Diet (66%), Dyslipidemia (62%), smoking (46%), Type A personality(46%), family history (32%), diabetes mellitus (28%), sedentary lifestyle (26%), hypertension (22%), obesity (17%), alcohol (3%), and OCPs (0%) Most of the patients that is 94% had 3 or more risk factors. Smoking, hypertension, diabetes and dyslipidemia are the major modifiable risk factors in our young adults. If a young male who is smoker or a young female who is diabetic, presents in emergency room with chest pain, always suspect coronary artery disease. Other conventional risk factors are also prevalent but alcohol and OCPs are not a major health problem for us.
Article
Full-text available
Socio-economic status influences the health of individuals and also the utilization of available health facilities. Of several available parameters, such as income, occupation, education, religion, caste, place of residence etc., the per capita monthly income has been the basis of the Prasad’s social classifications which is most commonly used in Indian studies. With inflationary trends of the economy this classification needs constant revision. An attempt has been made to link it with the all India consumer price index (AICPI) and a modified classification has been proposed with a built â€" in provision of its upgrading from time to keep it relevant and useful.
Article
Some 50% of the world's population resides in Asia, including ≈1000 million in China, a similar number in the Indian subcontinent, and >200 million in Indonesia. This region is undergoing unprecedented economic growth, rapid technological changes, urbanization, and major changes in lifestyle. The very high CHD death rates in Singapore (the most economically developed country in the region), which are similar to those of the United States and Australia, provide a warning that Asia may expect a surge in CHD.1 2 3 The dramatic rise in CHD experienced in eastern Europe must be prevented in Asia. To achieve acceptable and effective CHD prevention programs requires a thorough knowledge of the region, recognizing in particular the diversity of its countries. These range in size from compact urbanized places (Singapore and Hong Kong) to vast countries such as India and China, each with marked regional differences. The demography is equally varied: in the Philippines, for example, 60% of the population are younger than 19 years, whereas in Japan and Hong Kong, there is an increasing proportion of elderly people, and life expectancies at birth are among the longest in the world, eg, 75.1 years for men and 80.3 years for women in Hong Kong in 1993.4 The degree of economic development varies greatly. It is advanced in Japan, Korea, Taiwan, Hong Kong, and Singapore and is changing rapidly in China, Philippines, Malaysia, Thailand, Indonesia, and India. Nearby Australia and New Zealand, with predominantly Caucasian populations, are increasingly economically interdependent with Asia. They have achieved substantial reductions in CHD death rates from very high rates in the late 1960s because of the favorable lifestyle changes encouraged by their national heart foundations and supported by their respective governments. Established clinical guidelines such as those of the NCEP, the International Task Force on …
Article
The impact of risk factors for acute myocardial infarction (AMI) strongly differs across populations and most studies do not consider age as an effect modifier. This study aims to estimate the population attributable fractions (PAFs) of established risk factors for non-fatal AMI, considering age stratification, within a population-based case-control study of Portuguese men. Cases were male patients consecutively admitted with an incident AMI, during 1999-2003 (n = 638) and controls were a representative sample of the non-institutionalized Porto, Portugal inhabitants (n = 851). PAFs were derived by the equation: PAF = 1 - Sigma (rho/R), in which rho is the proportion of cases in each exposure stratum and R is the adjusted odds ratio. PAFs were obtained for the individual effect of each factor and for combinations of them, after allowance for confounding. High waist-to-hip ratio (> 0.90), smoking and lower education levels (0-4 years) had the highest PAFs among men aged < or = 45 years: 81.2% (95% CI: 71.2-88.2), 63.5% (95% CI: 42.0-80.6) and 53.8% (95% CI: 40.9-66.2), respectively. For the oldest men, high waist-to-hip ratio (PAF = 88.7%, 95% CI: 77.6-94.7) and lack of leisure-time physical activity (PAF = 44.8%, 95% CI: 32.0-58.2) were the risk factors with the highest impact. Lifestyles explained 77.2% (95% CI: 53.4-90.9) of young myocardial infarction cases and 77.6% (95% CI: 65.3-86.4) of the cases aged > 45 years. Preventive targeted interventions to decrease the prevalence of such modifiable risk factors would likely reduce morbidity and mortality of cardiovascular events and related conditions.
Article
This is a retrospective study of patients with first attack of myocardial infarction admitted to Medical College Hospital, Calicut during the years 1969 to 1988. The data analysed were compared to other hospital based studies in India and abroad. A striking increase in the percentage of acute myocardial infarction was observed. There was also an increase in the occurrence of myocardial infarction in the young. A properly designed population based study is warranted.
Article
To assess the coronary anatomy and prognosis of young, asymptomatic survivors of myocardial infarction. The records of all 5,316 patients who underwent cardiac catheterization at Parkland Memorial Hospital from July 1978 to December 1992 were reviewed to identify those patients 40 years old and younger who were catheterized within 60 days of a first myocardial infarction. Of 129 such patients, 48 had no indication for catheterization other than age (group I), and 81 were catheterized for spontaneous or provocable ischemia (group II). Extent of coronary artery disease and long-term follow-up were examined to ascertain the utility of cardiac catheterization in the asymptomatic patients. The 2 groups were similar with respect to clinical variables. The asymptomatic survivors of infarction (group I) had fewer diseased coronary arteries than did those with post-infarction ischemia (group II) (1.0 +/- 0.7 versus 1.5 +/- 1.0 [mean +/- SD] diseased coronary arteries, respectively; P = 0.002) and were less likely to have left-main or 3-vessel coronary artery disease (4% versus 20%, respectively; P = 0.027). Eighty-three percent of the group I patients had one diseased coronary artery, or less, and no patient underwent angioplasty or coronary bypass grafting on the basis of catheterization. After 71 +/- 44 months of follow-up, only 5 (10%) had died of a coronary-related event. Asymptomatic survivors of myocardial infarction who are 40 years of age or less rarely have left-main or 3-vessel coronary artery disease, and their long-term prognosis with conservative therapy is good. Routine catheterization in these patients is not warranted and should be reserved for those who manifest spontaneous or provocable post-infarction ischemia.