Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose

Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on...
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Autor*in:	Anne Njoroge [verfasserIn] Orvalho Augusto [verfasserIn] Stephanie T. Page [verfasserIn] Christine Kigondu [verfasserIn] Margaret Oluka [verfasserIn] Nancy Puttkammer [verfasserIn] Carey Farquhar [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	HIV prediabetes type 2 diabetes viral suppression

Übergeordnetes Werk:	In: Endocrinology, Diabetes & Metabolism - Wiley, 2018, 4(2021), 4, Seite n/a-n/a
Übergeordnetes Werk:	volume:4 ; year:2021 ; number:4 ; pages:n/a-n/a

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/edm2.292

Katalog-ID:	DOAJ051434989

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520			\|a Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.
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650		4	\|a viral suppression
653		0	\|a Diseases of the endocrine glands. Clinical endocrinology
700	0		\|a Orvalho Augusto \|e verfasserin \|4 aut
700	0		\|a Stephanie T. Page \|e verfasserin \|4 aut
700	0		\|a Christine Kigondu \|e verfasserin \|4 aut
700	0		\|a Margaret Oluka \|e verfasserin \|4 aut
700	0		\|a Nancy Puttkammer \|e verfasserin \|4 aut
700	0		\|a Carey Farquhar \|e verfasserin \|4 aut
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allfields	10.1002/edm2.292 doi (DE-627)DOAJ051434989 (DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d DE-627 ger DE-627 rakwb eng RC648-665 Anne Njoroge verfasserin aut Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention. HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology Orvalho Augusto verfasserin aut Stephanie T. Page verfasserin aut Christine Kigondu verfasserin aut Margaret Oluka verfasserin aut Nancy Puttkammer verfasserin aut Carey Farquhar verfasserin aut In Endocrinology, Diabetes & Metabolism Wiley, 2018 4(2021), 4, Seite n/a-n/a (DE-627)1025398645 (DE-600)2934368-9 23989238 nnns volume:4 year:2021 number:4 pages:n/a-n/a https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d kostenfrei https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/toc/2398-9238 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2021 4 n/a-n/a
spelling	10.1002/edm2.292 doi (DE-627)DOAJ051434989 (DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d DE-627 ger DE-627 rakwb eng RC648-665 Anne Njoroge verfasserin aut Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention. HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology Orvalho Augusto verfasserin aut Stephanie T. Page verfasserin aut Christine Kigondu verfasserin aut Margaret Oluka verfasserin aut Nancy Puttkammer verfasserin aut Carey Farquhar verfasserin aut In Endocrinology, Diabetes & Metabolism Wiley, 2018 4(2021), 4, Seite n/a-n/a (DE-627)1025398645 (DE-600)2934368-9 23989238 nnns volume:4 year:2021 number:4 pages:n/a-n/a https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d kostenfrei https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/toc/2398-9238 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2021 4 n/a-n/a
allfields_unstemmed	10.1002/edm2.292 doi (DE-627)DOAJ051434989 (DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d DE-627 ger DE-627 rakwb eng RC648-665 Anne Njoroge verfasserin aut Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention. HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology Orvalho Augusto verfasserin aut Stephanie T. Page verfasserin aut Christine Kigondu verfasserin aut Margaret Oluka verfasserin aut Nancy Puttkammer verfasserin aut Carey Farquhar verfasserin aut In Endocrinology, Diabetes & Metabolism Wiley, 2018 4(2021), 4, Seite n/a-n/a (DE-627)1025398645 (DE-600)2934368-9 23989238 nnns volume:4 year:2021 number:4 pages:n/a-n/a https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d kostenfrei https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/toc/2398-9238 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2021 4 n/a-n/a
allfieldsGer	10.1002/edm2.292 doi (DE-627)DOAJ051434989 (DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d DE-627 ger DE-627 rakwb eng RC648-665 Anne Njoroge verfasserin aut Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention. HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology Orvalho Augusto verfasserin aut Stephanie T. Page verfasserin aut Christine Kigondu verfasserin aut Margaret Oluka verfasserin aut Nancy Puttkammer verfasserin aut Carey Farquhar verfasserin aut In Endocrinology, Diabetes & Metabolism Wiley, 2018 4(2021), 4, Seite n/a-n/a (DE-627)1025398645 (DE-600)2934368-9 23989238 nnns volume:4 year:2021 number:4 pages:n/a-n/a https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d kostenfrei https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/toc/2398-9238 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2021 4 n/a-n/a
allfieldsSound	10.1002/edm2.292 doi (DE-627)DOAJ051434989 (DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d DE-627 ger DE-627 rakwb eng RC648-665 Anne Njoroge verfasserin aut Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention. HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology Orvalho Augusto verfasserin aut Stephanie T. Page verfasserin aut Christine Kigondu verfasserin aut Margaret Oluka verfasserin aut Nancy Puttkammer verfasserin aut Carey Farquhar verfasserin aut In Endocrinology, Diabetes & Metabolism Wiley, 2018 4(2021), 4, Seite n/a-n/a (DE-627)1025398645 (DE-600)2934368-9 23989238 nnns volume:4 year:2021 number:4 pages:n/a-n/a https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d kostenfrei https://doi.org/10.1002/edm2.292 kostenfrei https://doaj.org/toc/2398-9238 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2021 4 n/a-n/a
language	English
source	In Endocrinology, Diabetes & Metabolism 4(2021), 4, Seite n/a-n/a volume:4 year:2021 number:4 pages:n/a-n/a
sourceStr	In Endocrinology, Diabetes & Metabolism 4(2021), 4, Seite n/a-n/a volume:4 year:2021 number:4 pages:n/a-n/a
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	HIV prediabetes type 2 diabetes viral suppression Diseases of the endocrine glands. Clinical endocrinology
isfreeaccess_bool	true
container_title	Endocrinology, Diabetes & Metabolism
authorswithroles_txt_mv	Anne Njoroge @@aut@@ Orvalho Augusto @@aut@@ Stephanie T. Page @@aut@@ Christine Kigondu @@aut@@ Margaret Oluka @@aut@@ Nancy Puttkammer @@aut@@ Carey Farquhar @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	1025398645
id	DOAJ051434989
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ051434989</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308161443.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/edm2.292</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ051434989</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC648-665</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Anne Njoroge</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">HIV</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prediabetes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">type 2 diabetes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">viral suppression</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Diseases of the endocrine glands. Clinical endocrinology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Orvalho Augusto</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Stephanie T. 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callnumber-first	R - Medicine
author	Anne Njoroge
spellingShingle	Anne Njoroge misc RC648-665 misc HIV misc prediabetes misc type 2 diabetes misc viral suppression misc Diseases of the endocrine glands. Clinical endocrinology Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose
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topic_title	RC648-665 Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose HIV prediabetes type 2 diabetes viral suppression
topic	misc RC648-665 misc HIV misc prediabetes misc type 2 diabetes misc viral suppression misc Diseases of the endocrine glands. Clinical endocrinology
topic_unstemmed	misc RC648-665 misc HIV misc prediabetes misc type 2 diabetes misc viral suppression misc Diseases of the endocrine glands. Clinical endocrinology
topic_browse	misc RC648-665 misc HIV misc prediabetes misc type 2 diabetes misc viral suppression misc Diseases of the endocrine glands. Clinical endocrinology
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title	Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose
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title_full	Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose
author_sort	Anne Njoroge
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author_browse	Anne Njoroge Orvalho Augusto Stephanie T. Page Christine Kigondu Margaret Oluka Nancy Puttkammer Carey Farquhar
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title_sort	increased risk of prediabetes among virally suppressed adults with hiv in central kenya detected using glycated haemoglobin and fasting blood glucose
callnumber	RC648-665
title_auth	Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose
abstract	Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.
abstractGer	Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.
abstract_unstemmed	Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.
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title_short	Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose
url	https://doi.org/10.1002/edm2.292 https://doaj.org/article/aa026b03e4bf49d490e060b7dc7fd97d https://doaj.org/toc/2398-9238
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up_date	2024-07-03T20:20:19.709Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ051434989</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308161443.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/edm2.292</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ051434989</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJaa026b03e4bf49d490e060b7dc7fd97d</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC648-665</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Anne Njoroge</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Aims As survival among people living with HIV (PLHIV) improves with universal HIV treatment, new strategies are needed to support management of co‐morbidities like type 2 diabetes (T2D). We assessed prediabetes and T2D prevalence and risk factors using haemoglobin A1c (HbA1c) among PLHIV on antiretroviral therapy (ART) in Central Kenya. Methods This cross‐sectional study, conducted at a rural and urban site, enrolled PLHIV aged ≥35 years on ART for at least 5 years. HbA1c was assayed using Cobas b 101®, a point‐of‐care device. HbA1c levels ≥6.5% were considered diagnostic of T2D. For pre‐diabetic HbA1c levels (5.7%–6.4%), participants were requested to return the following day for a fasting blood glucose (FBG) to rule out T2D. Risk factors were assessed using multivariable log‐binomial regression. Results Of the 600 completing study procedures, the prevalence of diabetes was 5% (30/600). Ten participants were known to have diabetes; thus, prevalence of newly diagnosed T2D was 3.4% (20/590). Prevalence of prediabetes (HbA1c 5.7%–6.4%) was 14.2% (84/590). Significant predictors of elevated HbA1c were increase in age (Prevalence ratio [PR]: 1.10, CI: 1.02, 1.18, p = .012), hypertension (PR: 1.43, CI: 1.07–2.3, p = .015), central adiposity (PR: 2.11, CI: 1.57–2.84, p < .001) and use of Efavirenz (PR: 2.09, CI: 1.48, 2.96, p < .001). Conclusion There is a high prevalence of prediabetes, a significant predictor of T2D, among PLHIV in Central Kenya. Point‐of‐care HbA1c may help identify PLHIV with prediabetes in a single screening visit and provide an opportunity for early intervention.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">HIV</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">prediabetes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">type 2 diabetes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">viral suppression</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Diseases of the endocrine glands. Clinical endocrinology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Orvalho Augusto</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Stephanie T. Page</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Christine Kigondu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Margaret Oluka</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nancy Puttkammer</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Carey Farquhar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Endocrinology, Diabetes & Metabolism</subfield><subfield code="d">Wiley, 2018</subfield><subfield code="g">4(2021), 4, Seite 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Increased risk of prediabetes among virally suppressed adults with HIV in Central Kenya detected using glycated haemoglobin and fasting blood glucose

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