PreprintPDF Available

Continuous glucose monitoring in polycystic ovary syndrome: what interest?

Authors:
  • national Institute of nutrition tunisia
Preprints and early-stage research may not have been peer reviewed yet.

Abstract

Purpose The aim of our study was to detect subclinical abnormalities in carbohydrate metabolism in patients with polycystic ovary syndrome. Methods Cross-sectional study including 20 patients with PCOS diagnosed according to 5- the Rotterdam criteria. All the patients had normal carbohydrate tolerance (fasting blood 6- glucose<5.6 mmol/l, 2-h plasma glucose after a 75-g oral glucose tolerance test<7.8 mmol/l andglycated hemoglobin <5.8%). For each patient, we performed a continuous glucose monitoring over 72h, measuring the interstitial glucose every 5 minutes (288 measurements per day). We collected data about: the mean blood glucose, obtained by determining the mean values of the 288 measurements made by 24h - the mean amplitude of glycemic excursions, which is the difference between the maximum and minimum glycemic values - the time (in hours) in which the blood glucose was <0.7 g/l and / or>1.4 g/l. Results The mean blood glucose (over 72h) was 0.94±0.07 g/l (0.81-1.11).The mean amplitude of glycemic excursions (over 72h) was 0.81 ± 0.23 g/l (0.47-1.31).Fourteen patients (pathologic group) had subclinical glycemic abnormalities: 14 patients had glycemic values<0.7 g/l and 5 patients had also glycemic values>1.4 g/l. The mean amplitude of glycemic excursions was significantly lower (p=0.016) in the normal group (6 patients, 0.64 g/l) compared to the pathologic group(14 patients, 0.88 g/l).The other clinical and biological parameters were comparable between the two groups. Conclusions Our findings confirm the high frequency of subclinical abnormalities of carbohydrate metabolism in patients with polycystic ovary syndrome. A regular follow-up of these patients is necessary.
1
Preprint:Pleasenotethatthisarticlehasnotcompletedpeerreview.
Continuousglucosemonitoringinpolycysticovary
syndrome:whatinterest?
CURRENTSTATUS:POSTED
ineskammoun
UniversitedeTunisElManar
ines.kammoun@fmt.utm.tnCorrespondingAuthor
ORCiD:https://orcid.org/0000-0002-8322-5621
WafaBenSaada
Departmentofendocrinologyandmetabolicdiseases,InstitutnationaldeNutrition,Tunis
HajerKandara
Departmentofendocrinologyandmetabolicdiseases,institutNationaldeNutrition,Tunis
RadhouaneGharbi
Departmentofendocrinologyandmetabolicdiseases,InstitutNationaldeNutrition,Tunis
RaniaBenSaid
Departmentofendocrinologyandmetabolicdiseases,InstitutNationaldeNutrition,tunis
ClaudeBenSlama
Departmentofendocrinologyandmetabolicdiseases,InstitutNationaldeNutrition,Tunis
ManelJemel
Departmentofendocrinologyandmetabolicdiseases,InstitutNationaldeNutrition,tunis
DOI:
10.21203/rs.2.22520/v1
SUBJECTAREAS
Endocrinology&Metabolism
KEYWORDS
polycysticovarysyndrome,carbohydratemetabolism,continuousglucose
monitoring,subclinicalabnormalities
2
Abstract
Purpose
Theaimofourstudywastodetectsubclinicalabnormalitiesincarbohydratemetabolisminpatients
withpolycysticovarysyndrome.
Methods
Cross-sectionalstudyincluding20patientswithPCOSdiagnosedaccordingto5-theRotterdam
criteria.Allthepatientshadnormalcarbohydratetolerance(fastingblood6-glucose<5.6mmol/l,2-h
plasmaglucoseaftera75-goralglucosetolerancetest<7.8mmol/landglycatedhemoglobin<5.8%).
Foreachpatient,weperformedacontinuousglucosemonitoringover72h,measuringtheinterstitial
glucoseevery5minutes(288measurementsperday).Wecollecteddataabout:themeanblood
glucose,obtainedbydeterminingthemeanvaluesofthe288measurementsmadeby24h-themean
amplitudeofglycemicexcursions,whichisthedifferencebetweenthemaximumandminimum
glycemicvalues-thetime(inhours)inwhichthebloodglucosewas<0.7g/land/or>1.4g/l.
Results
Themeanbloodglucose(over72h)was0.94±0.07g/l(0.81-1.11).Themeanamplitudeofglycemic
excursions(over72h)was0.81±0.23g/l(0.47-1.31).Fourteenpatients(pathologicgroup)had
subclinicalglycemicabnormalities:14patientshadglycemicvalues<0.7g/land5patientshadalso
glycemicvalues>1.4g/l.Themeanamplitudeofglycemicexcursionswassignificantlylower
(p=0.016)inthenormalgroup(6patients,0.64g/l)comparedtothepathologicgroup(14patients,
0.88g/l).Theotherclinicalandbiologicalparameterswerecomparablebetweenthetwogroups.
Conclusions
Ourfindingsconfirmthehighfrequencyofsubclinicalabnormalitiesofcarbohydratemetabolismin
patientswithpolycysticovarysyndrome.Aregularfollow-upofthesepatientsisnecessary.
Background
Polycysticovarysyndrome(PCOS)isoneofthemostcommonfemaleendocrinopathies,witha
prevalenceofaround15%inwomenofchildbearingage[1].Thisdualreproductiveandmetabolic
diseasecanberesponsibleforhyperandrogenism,fertilityandmenstrualcycledisorders,obesity,
3
diabetesmellitus(DM),dyslipidemia,hypertension,andevenendometrialcancer[2].Insulin
resistance(IR)appearstobethelinkbetweenthesedifferentanomalies.
VeryfewstudieshaveexaminedtheglycemicprofileofpatientswithPCOSandwithoutclear
alterationsinglycoregulation.Thesestudies[3,4]havedemonstratedtheexistenceofsubclinical
glycoregulationabnormalities,whichmaysubsequentlyleadtoastateofglucoseintoleranceoreven
toDM.
Theaimofourstudywastodetectsubclinicalabnormalitiesinglucosemetabolisminpatientswith
PCOSbyusinga72-hourcontinuousglucosemonitoring(CGM).
Methods
Weconductedacross-sectionalstudythatincluded20patientswithPCOS,followedatthe
departmentofendocrinologyandmetabolicdiseasesoftheNationalInstituteofNutrition(Tunis).We
chosethisnumberofparticipantswithreferencetotheliteraturesincethestudiesmadeonthis
subjectdidnotexceed10to45patients.
Thetotaldurationofrecruitmentwas08months(fromApriltoNovember2013).
I-Patients:
InclusionCriteria
Age:18-45yearsold
DiagnosisofPCOSconfirmedaccordingtotheRotterdam2003criteria[5],bythepresenceofatleast2
ofthe3followingcriteria:
-Clinical(hirsutism)and/orbiological(totaltestosterone>2nmol/l)hyperandrogenism
-Dysovulation:occurrenceoffewerthan9menstruationsperyear
-PCOSechographiccriteria:ovarianvolume>10mland/orthepresenceof≥12follicles(2-9mm)on
oneorbothovaries.
Normalcarbohydratetoleranceattestedby:
-Fastingbloodglucose(FBG)<5.6mmol/land
-2-hplasmaglucose<7.8mmol/l(aftera75-goralglucosetolerancetest)and
-Glycatedhemoglobin(HbA1c)<5.8%.
InformedConsent
Non-InclusionCriteria
Otheretiologiesofhyperandrogenismand/ormenstrualdisorders,includingcongenitaladrenal
hyperplasia,androgen-secretingtumors,Cushing'ssyndrome,hyperprolactinemiaandhypothyroidism.
Pregnantorbreastfeedingwomen
Patientswhotook,inthe3monthsprecedingthestudy,drugsinterferingwiththecarbohydrate
metabolism(corticotherapy,estrogens,metformin).
4
II.Methodology:
1.Datacollected:
Foreachpatient,weperformedaclinicalexaminationandmetabolicassessmentwithfasting
insulinemia(FI)andcalculationoftheHOMA-Rindexbytheformula:
HOMA-R=(FBG(mmol/l)*FI(μIU/ml))/22.5
Wealsorealized,foreachpatient,aCGMover72hours.ThedeviceusedwastheMedtronicMinimed
CGMS.Itconsistsofanimplantableelectrodeintheabdominalsubcutaneoustissue,connectedtoa
computersystemthatstoresallthevaluesofthemeasuredsignal.Theimplantedsystemmakesit
possibletoobtainaninterstitialglucosevalueevery5minutes(288measurementsperday).
Inordertoobtainanoptimalrecording,4capillarybloodglucoseperday(beforethe3mealsand
beforebedtime)weremeasuredtocalibratethesystem.
Theimplantationofthedevicewasperformedinallpatientsatthesametime(between9amand
11am).Weaskedthemtomaintaintheireatinghabitsandtheirusualprofessionalandphysical
activities.
FromtheCGM,wenoted:
Themeanbloodglucose(MBG,expresseding/l)obtainedbydeterminingtheaveragevaluesofthe288
measurementsmadeby24h.
Themeanamplitudeoftheglycemicexcursions(MAGE,expresseding/l)representedbythe
differencebetweenthemaximumandminimumvaluesofthebloodglucoselevels
Thelengthoftime(inhours)whenbloodglucosewas<0.7g/land/or>1.4g/l.
Wethendividedourpatientsinto2groups:
Patientsinwhombloodglucoselevelswerestillbetween0.7and1.4g/lduring72hours:normalCGM
group
Patientsinwhombloodglucoselevelswereoutsidetheselimits:pathologicalCGMgroup
Wecomparedtheclinicalandbiologicalparametersofthesetwogroups.
Informedconsentwasobtainedfromallparticipantsincludedinthestudy.
2-Dataanalysis:
Wecalculated:
simpleandrelativefrequencies(percentages)forqualitativevariables.
meansandstandarddeviationswithdeterminationofextremevaluesforthequantitativevariables.
Thecomparisonofmeansonindependentserieswasperformedusingthenon-parametricMannand
5
Whitneytest.
ThecomparisonofpercentagesonindependentserieswasperformedbythePearsonchi-squaretest,
andincaseofnon-validityofthistest,byFisher’sexactbilateraltest.
Thestudyofthelinkbetween2quantitativevariableswasmadebySpearman'scorrelation
coefficient.
Forallstatisticaltests,thethresholdofstatisticalsignificancewassetatp<0.05.
Results
Themeanageofourpatientswas26.2±6.6years(18to45years).ThemeanbodymassindexBMI
was32.9±8.7Kg/m²(20-55).Twentypercentofourpatientswereoverweightand65%wereobese.
ThemeanvalueofMBG(over72hours)was0.94±0.07g/l(0.81-1.11).
ThemeanvalueoftheMAGE(over72hours)was0.81±0.23g/l(0.47-1.31).
Thebloodglucoselevelsremainedbetween0.70and1.40g/lduringthe72hoursoftherecordingin
6casesamongour20patients.
Fourteenpatientshadbloodglucose<0.70g/lduringtherecording,fiveofwhomhadbloodglucose
<0.50g/landfiveotherpatientshadalsoabloodglucoselevel>1.40g/l(Figure1).Hypoglycemia
wasasymptomaticandnotfeltbypatients.
Thelengthoftimespentoutsidethepreviouslyfixedlimits(<0.7or>1.4g/l),expressedinhours,is
detailedintable1.
TheMBGandMAGEvalueswerenotsignificantlycorrelatedwiththedifferentclinicalandbiological
parametersstudied(BMI,waistcircumference,FBG,HbA1c,FIandHOMAindex).
Wedividedourpatientsinto2groupsbasedonCGMdata:
NormalCGMgroup:patientsinwhombloodglucoselevelswerealwaysbetween0.7and1.4g/lduring
the72hours(n=6)
PathologicalCGMgroup:patientswhohadbloodglucoselevelsoutsidetheselimits(n=14)
Wefoundnosignificantdifferencebetweenthese2groupsconcerningBMI,waistcircumference,
presenceofacanthosisnigricans,menstrualdisorders,familyhistoryofdiabetes,FBG,HbA1c,FI,
HOMAindex,andtotaltestosterone(table2).
ThevalueoftheMBGwasalsocomparableinbothgroups(0,97±0,05vs0,93±0,07g/l).However,
6
theMAGEvaluewassignificantlylowerinthegroupwithnormalregistration(0.64vs0.88g/l,p=
0.016).
Discussion
Inour20patientswithPCOSwhohavehadCGM,thebloodglucosevaluesremainedintherangeof
0.70-1.40g/linonly6patientsduringthe72hoursofrecording.Alltheother14patientshadblood
glucoselevelslessthan0.70g/l.Thiswouldberelatedmostprobably,tohyperinsulinismsecondary
toinsulinresistanceinthesepatients.Nevertheless,wefoundnosignificantdifferencebetweenthese
2groupsconcerningclinical,metabolicorhormonalparameters.
ThisisthefirstTunisianstudytoassesstheresultsofCGMinpatientswithPCOS.However,ourstudy
hassomelimitations.Itismainlytheabsenceofacontrolgroupwhichcouldnotbeincludedfor
financialreasons.
Theassociationbetweenhyper-androgenismandmetabolicdisorderswasfirstdescribedbyAchard
andThiersin1921[6].Subsequently,severalepidemiologicalstudiesconfirmedthehighprevalence
ofcarbohydratetoleranceabnormalitiesinwomenwithPCOS[7,8].Indeed,theriskofDMis
multipliedby7inthesepatients[9].
AccordingtotheAmericanDiabetesAssociation(ADA),diabetesscreeningisrecommendedinPCOS
patients,astheriskofprogressiontoDMis2-3%peryear.Thisscreeningismadebya75-goral
glucosetolerancetestorHbA1cdeterminationaccordingtotheADAin2018[10].
CGMcanrecordinterstitialglucosevaluesrangingfrom0.4to4g/l.Itismoresensitiveinthe
detectionofstrongglycemicvariations[11].Itwasinitiallyusedindiabeticsubjects.Currently,itis
alsousedinhealthysubjects,pregnantwomen[12,13]andeveninthecardiacintensivecareunit
[14],toevaluatetheeffectofBMI,somefoods,physicalactivity,andstressonbloodglucoselevels
variations[13].CGMisalsousedtodiagnoseearlyglycemicabnormalitiesinallhighriskpatients
[15].
AChinesestudythatperformedCGMin434healthyvolunteers[16]chosetherangeofnormalblood
glucosebetween0.70and1.40g/l.AnotherItalianstudythatincluded15healthyvolunteers[13]
setthenormalrangeofbloodglucosebetween0.70and1.25g/l.Inourstudy,wechosetheinterval
7
between0.70and1.40g/l,sincethepopulationoftheChinesestudy[16]wasimportantand
especiallybecauseinthisstudy,thetimespentoutsidethenormalrangewaslessthan1hourover
theentire72hours.Thisintervalwouldthereforereflectthephysiologicalvariationsofbloodglucose.
AnotherChinesestudy[3]performedcontinuousbloodglucoserecordingin20patientswithPCOS
(withnormalcarbohydratetolerance)and20age-matchedhealthywomenwithnormalmenstruation.
MBGandMAGEwerecomparableinbothgroups.Incontrast,thepeakingtimeofpost-breakfast
plasmaglucoselevelofthePCOSgroupwassignificantlylongerthanthatofthecontrolgroup.CGM
diagnosedanabnormalmodeofdailyglucosechangecharacterizedbyadelayedpeakofpost-
breakfastplasmaglucoselevel.
Athirdstudy[4]alsoperformedCGMin45patientswithPCOSwithnormalglucosetoleranceand45
age-matchedcontrolsfemale.Postprandialbloodglucosewassignificantlyhigherinpatientswith
PCOS.
Ourstudyhighlightssomeglycemicdisordersthatcouldpredictapre-diabetesconditioninpatients
withPCOS.Thesedisordersareundetectableonoralglycemictolerancetestandunpredictableby
otherclinicalandbiologicalparameters.Larger-scalecontrolledstudiesareneededtobetterclarify
thesedata.
Conclusion
PCOSisacommonendocrinepathologyinwomenofchildbearingage.Themetabolicdisordersare
frequentinthesepatients.Theaimofourworkwastolookforsubclinicalabnormalitiesin
carbohydratemetabolismusinga72hoursCGM,in20normoglycemicpatientswithPCOS.
TheCGMhasindeedhighlightedsomedisorders,especiallyalowbloodglucoseandevenauthentic
asymptomatichypoglycaemia(<0.50g/l).Thisprofilecouldpredictapre-diabetescondition.
Weemphasizetheimportanceofearlydiagnosisandregularscreeningofmetabolicanomaliesin
patientswithPCOS.TheCGMmightbeinterestingforearlydetectionofsubclinicalglycemic
disorders.
ListOfAbbreviations
ADA:AmericanDiabetesAssociation
8
BMI:bodymassindex
CGM:continuousglucosemonitoring
DM:diabetesmellitus
FBG:Fastingbloodglucose
FI:fastinginsulinemia
HbA1c:glycatedhemoglobin
IR:Insulinresistance
MAGE:meanamplitudeoftheglycemicexcursions
MBG:meanbloodglucose
PCOS:Polycysticovarysyndrome
Declarations
Ethicalapprovalandconsenttoparticipate:Thestudywasapprovedbytheethicscommitteeof
theNationalNutritionInstituteofTunis.Writteninformedconsentwasobtainedfromallparticipants.
Consentforpublication:NotApplicable
Availabilityofdataandmaterials:Thedatasetsusedand/oranalysedduringthecurrentstudy
areavailablefromthecorrespondingauthoronreasonablerequest
CompetingInterests:Theauthorsdeclarethattheyhavenocompetinginterests
Funding:Thisresearchdidnotreceiveanyspecificgrantfromanyfundingagencyinthepublic,
commercialornot-for-profitsector.
Authorscontributions:IKparticipatedintheconception,designofthework,interpretationofdata
andrevisionofthefinalmanuscript.WBShavedraftedthework.HKparticipatedintheconception
andanalysis.RGparticipatedinthewritingofthemanuscript.RBSparticipatedintheacquisitionof
data.CBSsubstantivelyrevisedthemanuscript.MJparticipatedintheacquisitionofdata.Allauthors
readandapprovedthefinalmanuscript.
Acknowledgements:NotApplicable
References
[1]Consensusonwomen’shealthaspectsofpolycysticovarysyndrome(PCOS).TheAmsterdam
9
ESHRE/ASRM-Sponsored3rdPCOSConsensusWorkshopGroup.HumReprod.2012;27(1):14-24.
[2]NavaratnarajahR,PillayOC,HardimanP.Polycysticovarysyndromeandendometrialcancer.
SeminReprodMed.2008;(26):62-71.
[3]TaoMF,ZhuJP,ZhouJ,LuW,QinW,TengYC,etal.Insulinreleaseanddailyglucosechangein
polycysticovarysyndromewomenwithnormalglucosetolerance.ZhonghuaYiXueZaZhi.
2009;89(10):659-63.
[4]TaoM,ZhouJ,ZhuJ,LuW,JiaW.Continuousglucosemonitoringrevealsabnormalfeaturesof
postprandialglycemicexcursionsinwomenwithpolycysticovariansyndrome.PostgradMed.
2011;123(2):185-90.
[5]TheRotterdamESHRE/ASRM-SponsoredPCOSConsensusWorkshopgrouprevised2003consensus
ondiagnosticcriteriaandlong-termhealthrisksrelatedtopolycysticovarysyndrome.HumReprod.
2004;(19):41-7.
[6]AchardC,ThiersJ.Levirilismeetsonassociationàl’insuffisanceglycolytique(diabètedesfemmes
àbarbe).BullAcadNatMed.1921;86-51.
[7]LegroRS,KunselmanAR,DodsonWC,etal.Prevalenceandpredictorsofriskfortype2
diabetesmellitusandimpairedglucosetoleranceinpolycysticovarysyndrome:aprospective,
controlledstudyin254affectedwomen.JClinEndocrinolMetab.1999;84(1):165–169.
[8]EhrmannDA,BarnesRB,RosenfieldRL,etal.Prevalenceofimpairedglucosetolerance
anddiabetesinwomenwithpolycysticovarysyndrome.DiabetesCare.1999;22(1):141–146.
[9]AzzizR,CarminaE,DewaillyD,Diamanti-KandarakisE,Escobar-MorrealeHF,FutterweitW,etal.
TheAndrogenExcessandPCOSSocietycriteriaforthepolycysticovarysyndrome:thecompletetask
forcereport.FertilSteril.2009;91(2):456-88.
[10]ClassificationandDiagnosisofDiabetes:StandardsofMedicalCareinDiabetes.DiabetesCare
2018;41(Suppl.1):S13–S27.
[11]KaushikPandit,Continuousglucosemonitoring.IndianJEndocrinolMetab.2012dec;16(2):S263
–S266.
[12]RomanaD,HeatherI.K,AllenR.K,andRichardS.L.ContinuousGlucoseMonitoringDuring
10
PregnancyinWomenWithPolycysticOvarySyndrome.ObstetGynecol.2011October;118(4):878–
885.
[13]GiuseppeD,SibillaAT,SalvadeoM,RobertoM,AngelaD,LeonardinaC,etal.ContinuousGlucose
MonitoringSysteminFree-LivingHealthySubjects:ResultsfromaPilotStudy.DiabetesTechnolTher.
2009;11(3):159-69.
[14]LauraA.Sc,BrittanyA.P,FrankW.S,M.RuhulA.ContinuousGlucoseMonitoringintheCardiac
ICU:CurrentUseandFutureDirections.ClinicalMedicineResearch2017;6(6):173-176.
[15]SolimanA,DeSanctisV,YassinM,ElalailyR,EldarsyNE.Continuousglucosemonitoringsystem
andneweraofearlydiagnosisofdiabetesinhighriskgroups.IndianJEndocrinolMetab.2014
May;18(3):274-82.
[16]JianZ,HongL,XingwuR,WenyingY,QiangL,YongdeP,etal.ReferenceValuesforContinuous
GlucoseMonitoringinChineseSubjects.DiabetesCare.2009;(32):1188–93.
Tables
Table1.Timespentoutsidethelimitsof0.7-1.4g/l
1stday 2ndday 3dday Totalof72hours
G>1,40g/l(n=5) 0,04±0,17H 0,08±0,3H 0,3±0,6H 0,14H
G<0,70g/l(n=14) 2,7±3H 0,93±1,52H 0,08±0,24H 1,23H
Table2:ComparisonbetweennormalandpathologicalCGMgroup
NormalCGMGroup(n=6) PathologicalCGMGroup
(n=14) p
Age(year) 26±8,2 21,3±7,4 ns
BMI(Kg/m²) 32,1±10 33,2±8 ns
Waistcircumference(cm) 97,5±16,3 97,7±15,4 ns
Acanthosisnigricans(n) 2 7 ns
Menstrueldisorders(n) 4 12 ns
Familyhistoryofdiabetes(n) 2 2 ns
FBG(mmol/l) 5,1±0,26 5±0,47 ns
HbA1c(%) 5,4±0,2 5,3±0,4 ns
FI(µUI/ml) 11,2±8,5 24,14±20 0,08
HOMAIndex 2,5±1,9 5,4±4,6 ns
Testosterone(nmol/l) 2±0,7 2,4±0,6 ns
n:numberns:notsignificant
Figures
11
Figure1
Continuousglucosemonitoringshowingsubclinicalglycemicabnormalitiesinourpatients
SupplementaryFiles
Thisisalistofsupplementaryfilesassociatedwiththispreprint.Clicktodownload.
STROBE_checklist_cross-sectional.doc
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Perioperative glucose control is highly important, particularly for patients undergoing cardiac surgery. Variable glucose levels before, during and after cardiac surgery lead to increased post-operative complications and patient mortality. [1] Current methods for intensive monitoring and treating hyperglycemia in the Intensive Care Unit (ICU) usually involve hourly glucose monitoring and continuous intravenous insulin infusions. With the advent of more accurate subcutaneous glucose monitoring systems, the role of improved glucose control with newer systems deserves consideration for widespread adoption.
Article
Full-text available
Continuous glucose monitoring (CGM) systems are an emerging technology that allows frequent glucose measurements to monitor glucose trends in real time. Their use as a diagnostic tool is still developing and appears to be promising. Combining intermittent glucose self-monitoring (SGM) and CGM combines the benefi ts of both. Signifi cant improvement in the treatment modalities that may prevent the progress of prediabetes to diabetes have been achieved recently and dictates screening of high risk patients for early diagnosis and management of glycemic abnormalities. The use of CGMS in the diagnosis of early dysglycemia (prediabetes) especially in high risk patients appears to be an attractive approach. In this review we searched the literature to investigate the value of using CGMS as a diagnostic tool compared to other known tools, namely oral glucose tolerance test (OGTT) and measurement of glycated hemoglobin (HbA1C) in high risk groups. Those categories of patients include adolescents and adults with obesity especially those with family history of type 2 diabetes mellitus, polycystic ovary syndrome (PCO), gestational diabetes, cystic fi brosis, thalassemia major, acute coronary syndrome (ACS), and after renal transplantation. It appears that the ability of the CGMS for frequently monitoring (every 5 min) glucose changes during real-life settings for 3 to 5 days stretches the chance to detect more glycemic abnormalities during basal and postprandial conditions compared to other short-timed methods.
Article
Full-text available
Continuous glucose monitoring (CGM) technology with its recent development in the real-time feedback has got the potential to revolutionize diabetes care in the near future in the arena of the rapeutic interventions and flexibility in variations in lifestyle or dietary intake. CGM has made the attainment of near-normal blood glucose concentrations, a practical goal for most patients with diabetes.
Article
Full-text available
The widespread clinical application of continuous glucose monitoring (CGM) is limited by the lack of generally accepted reference values. This multicenter study aims to establish preliminary normal reference values for CGM parameters in a sample of healthy Chinese subjects. A total of 434 healthy individuals with normal glucose regulation completed a 3-day period of glucose monitoring using a CGM system. The 24-h mean blood glucose (24-h MBG) and the percentage of time that subjects' blood glucose levels were >or=140 mg/dl (PT140) and <or=70 mg/dl (PT70) within 24 h were analyzed. There was excellent compliance of finger stick blood glucose values with CGM measurements for subjects. Among the 434 subjects, the daily blood glucose varied from 76.9 +/- 11.3 to 144.2 +/- 23.2 mg/dl. The 24-h MBG, PT140, and PT70 were 104 +/- 10 mg/dl, 4.1 +/- 5.8%, and 2.4 +/- 5.3%, respectively. As for these parameters, no significant differences were found between men and women. The 95th percentile values were adopted as the upper limits of CGM parameters, which revealed 119 mg/dl (6.6 mmol/l) for 24-h MBG, 17.1% for PT140, and 11.7% for PT70. We recommend a 24-h MBG value <119 mg/dl, PT140 <17% (4 h), and PT70 <12% (3 h) as normal ranges for the Chinese population.
Article
To determine the features of postprandial glycemic excursions (PPGEs) in patients with polycystic ovarian syndrome (PCOS) using continuous glucose monitoring (CGM). Forty-five women with PCOS and normal glucose tolerance and 45 healthy, age-matched women (control group) underwent a 3-day period of blood glucose (BG) monitoring using the CGM system. The glycemic level was calculated as the mean level of 24-hour BG value (MBG), and intra-day glycemic excursions were calculated as standard deviation of BG (SDBG) and mean amplitude of glycemic excursion (MAGE). Postprandial glycemic excursions were characterized by the amplitude of the postprandial BG spike and the interval between the meal and the maximal BG value. Based on CGM, the times to peak glucose of patients with PCOS after 3 meals were higher than the control group (42 ± 18 min vs 32 ± 12 min, 54 ± 25 min vs 39 ± 18 min, and 45 ± 16 min vs 38 ± 16 min, respectively; P < 0.05), and the amplitude of PPGEs after breakfast was higher than the control group (P < 0.05). However, there were no significant differences between the amplitudes of PPGEs after lunch and dinner compared with the control group (P > 0.05). The 24-hour MBG, SDBG, and MAGE of the patients with PCOS were 5.45 ± 0.51 mmol/L, 0.74 ± 0.32 mmol/L, and 1.83 ± 0.97 mmol/L, respectively, and there were no statistically significant differences compared with the control group (P > 0.05). Women with PCOS and normal glucose tolerance have changes in PPGEs. Continuous glucose monitoring can detect alterations in a comprehensive and sensitive way.
Article
To evaluate the characteristics of daily glucose change, insulin sensitivity, and insulin release in polycystic ovary syndrome (PCOS) women with normal glucose tolerance. Oral glucose tolerance test (OGTT) with 75 g glucose was conducted on 20 PCOS women with normal glucose tolerance and 20 age-matched healthy women with normal menstruation. Before the glucose uptake and 30, 60, and 120 min after samples of venous blood were collected to detect the blood glucose and insulin. Continuous glucose monitoring system (CGMS) was used to monitor the glucose concentration of subcutaneous interstitial fluid so as to reflect the blood glucose level. Mean blood glucose level (MBG) and its standard deviation (SDBG), mean amplitude of glycemic excursion (MAGE), peak level of postprandial plasma glucose as well as its peaking time during a 48-hour period CGMS were calculated. Stumvoll first-phase and second-phase (1st PH and 2nd PH) insulin release during OGTT were evaluated by Stumvoll formula, whereas baseline insulin release by HOMA-B. Insulin sensitivity index (ISI) was evaluated by Cederholm formula. (1) The 1-hour and 3-hour plasma glucose levels during OGTT of the PCOS group were higher than those of the control group (P < 0.01 and P < 0.05 respectively). The fasting insulin level and insulin levels 30, 60, 120, and 180 min after the glucose uptake during OGTT of the PCOS group were all significantly higher than those of the control group (all P < 0.01). (2) The daily MBG, SDBG, and MAGE of the PCOS group were (5.43 +/- 0.44), (0.66 +/- 0.24), and (1.46 +/- 0.47) mmol/L respectively, all similar to those of the control group [(5.3 +/- 0.5), (0.67 +/- 0.27), and (1.7 +/- 0.7) mmol/L respectively, all P > 0.05]. The peaking time of post-breakfast plasma glucose level of the PCOS group was (40 +/- 18) min, significantly longer than that of the control group [(30 +/- 10) min, P < 0.05]. (3) The ISI of the PCOS group was 64 (59 - 81), significantly lower than that of the control group [95 (78 - 102), P < 0.01]. The Stumvoll 1st PH and 2nd PH insulin release levels of the PCOS group were 1779 (1411 - 2194) mU/L and 440 (361 - 545) mU/L respectively, both significantly higher than those of the control group [1217 (1056 - 1477) and 320 (283 - 375) mU/L respectively, P < 0.01 and P < 0.05]. With normal glucose tolerance, the PCOS women show (1) a backwardly-shifted peak of glucose -stimulated insulin secretion, (2) an abnormal mode of daily glucose change characterized by a delayed peak of post-breakfast plasma glucose level, and (3) significant decrease of peripheral insulin sensitivity with compensated increase of insulin secretion.
Article
Women with polycystic ovary syndrome (PCOS) are insulin resistant, have insulin secretory defects, and are at high risk for glucose intolerance. We performed this study to determine the prevalence of glucose intolerance and parameters associated with risk for this in PCOS women. Two-hundred and fifty-four PCOS women, aged 14-44 yr, were prospectively evaluated at 2 centers, 1 urban and ethnically diverse (n = 110) and 1 rural and ethnically homogeneous (n = 144). The rural PCOS women were compared to 80 control women of similar weight, ethnicity, and age. A 75-g oral glucose challenge was administered after a 3-day 300-g carbohydrate diet and an overnight fast with 0 and 2 h blood samples for glucose levels. Diabetes was categorized according to WHO criteria. The prevalence of glucose intolerance was 31.1% impaired glucose intolerance (IGT) and 7.5% diabetes. In nonobese PCOS women (body mass index, <27 kg/m2), 10.3% IGT and 1.5% diabetes were found. The prevalence of glucose intolerance was significantly higher in PCOS vs. control women (chi2 = 7.0; P = 0.01; odds ratio = 2.76; 95% confidence interval = 1.23-6.57). Variables most associated with postchallenge glucose levels were fasting glucose levels (P < 0.0001), PCOS status (P = 0.002), waist/hip ratio (P = 0.01), and body mass index (P = 0.021). The American Diabetes Association criteria applied to fasting glucose significantly underdiagnosed diabetes compared to the WHO criteria (3.2% vs. 7.5%; chi2 = 4.7; P = 0.046; odds ratio = 2.48; 95% confidence interval = 1.01-6.69). We conclude that 1) PCOS women are at significantly increased risk for IGT and type 2 diabetes mellitus at all weights and at a young age; 2) these prevalence rates are similar in 2 different populations of PCOS women, suggesting that PCOS may be a more important risk factor than ethnicity or race for glucose intolerance in young women; and 3) the American Diabetes Association diabetes diagnostic criteria failed to detect a significant number of PCOS women with diabetes by postchallenge glucose values.
Article
NIDDM occurs commonly among women with polycystic ovary syndrome (PCOS). The prevalence and natural history of its precursor, impaired glucose tolerance (IGT), is less well known. The objective of this study was to characterize the prevalence and incidence of glucose intolerance in a large cohort of women with well-characterized PCOS. A total of 122 women with clinical and hormonal evidence of PCOS were recruited from the Medicine, Endocrinology, Gynecology, and Pediatrics Clinics at the University of Chicago. All women had a standard oral glucose tolerance test (OGTT) with measurement of glucose and insulin levels. A subset of 25 women were subsequently restudied with the aim of characterizing the natural history of glucose tolerance in PCOS. Glucose tolerance was abnormal in 55 (45%) of the 122 women: 43 (35%) had IGT and 12 (10%) had NIDDM at the time of initial study. The women with NIDDM differed from those with normal glucose tolerance in that they had a 2.6-fold higher prevalence of first-degree relatives with NIDDM (83 vs. 31%, P < 0.01 by chi 2) and were significantly more obese (BMI 41.0 +/- 2.4 vs. 33.4 +/- 1.1 kg/m2, P < 0.01). For the entire cohort of 122 women, there was a significant correlation between fasting and 2-h glucose concentrations (r = 0.76, P < 0.0001); among the subset with IGT, the fasting glucose concentration was poorly predictive of the 2-h level (r = 0.25, NS). After a mean follow-up of 2.4 +/- 0.3 years (range 0.5-6.3), 25 women had a second OGTT. The glucose concentration at 2 h during the second glucose tolerance test was significantly higher than the 2-h concentration during the first study (161 +/- 9 vs. 139 +/- 6 mg/dl, P < 0.02). The prevalence of IGT and NIDDM in women with PCOS is substantially higher than expected when compared with age- and weight-matched populations of women without PCOS. The conversion from IGT to NIDDM is accelerated in PCOS. The fasting glucose concentration does not reliably predict the glucose concentration at 2 h after an oral glucose challenge, particularly among those with IGT, the subgroup at highest risk for subsequent development of NIDDM. We conclude that women with PCOS should periodically have an OGTT and must be closely monitored for deterioration in glucose tolerance.
Article
An association between polycystic ovary syndrome (PCOS) and endometrial carcinoma was first suggested in 1949. Since then, several studies have been published that appear to support this association, and it is common practice among gynecologists and physicians to prescribe hormonal treatment to reduce this perceived risk, although there is no consensus as to the subgroup of PCOS in whom this is required. The mechanism(s) underlying any association are also unclear, but it is again widely assumed that chronic anovulation, which results in continuous estrogen stimulation of the endometrium unopposed by progesterone, is a major factor. However, obesity, hyperinsulinemia, and hyperandrogenism, which are also features of PCOS, are risk factors for endometrial carcinoma, but it does not necessarily follow that the incidence or mortality from endometrial cancer is increased in women with the syndrome. Potential strategies to prevent endometrial cancer in PCOS women are discussed.