{"id":1804,"date":"2018-12-31T00:00:23","date_gmt":"2018-12-30T17:00:23","guid":{"rendered":"https:\/\/www.hivnat.org\/en\/?p=1804"},"modified":"2018-12-31T00:00:23","modified_gmt":"2018-12-30T17:00:23","slug":"depression-vitamin-d-deficiency-and-osteoporosis-among-aging-hiv-infected-and-hiv-uninfected-population-in-thailand","status":"publish","type":"post","link":"https:\/\/www.hivnat.org\/en\/studies\/1804\/","title":{"rendered":"Depression, Vitamin D deficiency and osteoporosis among aging HIV infected and HIV uninfected population in Thailand"},"content":{"rendered":"\n\t\t\t\t\n<p><strong>Project no.:<\/strong> HIV-NAT 207\/Aging study<\/p>\n\n\n\n<p>This study will assess the depression,\nvitamin D deficiency and osteoporosis among aging HIV-infected and\nHIV-uninfected population in Thailand <\/p>\n\n\n\n<p><strong>Results: <\/strong>Among 357\nparticipants (median [IQR] age of 54.4 [52.2-60.4] years, 37.5% female)\nenrolled, median CD4 was 614 (477-797) cells\/\u00b5L, 97.2% had HIV RNA &lt; 40\ncopies\/mL, and the most common ART were TDF (84%) and efavirenz (58.3%). A\ntotal of 216 (60.5%) had NCI, and women had higher NCI prevalence than men\n(70.9% vs 54.3%, p=0.002). Women performed significantly worse than men in\nvisuospatial\/executive, naming, attention, language, abstraction, and\norientation domains (p&lt; 0.05). More women had education lower than bachelor\ndegree (82.1% vs 61.0%, p&lt; 0.001) and income &lt; 300$\/month (52.2% vs\n31.8%, p&lt; 0.001); whereas more men had HBV infection (25.1% vs 14.9%,\np=0.02), HCV infection (13.1 vs 6%, p=0.03), class C CDC classification (20% vs\n9.2%, p=0.007), diabetes mellitus (21.1% vs 9.7%, p=0.005), hypertension (51.1%\nvs 29.1%, p&lt; 0.001), abnormal cIMT (6.4% vs 1.6%, p=0.042), and lower median\nCD4 cell counts (599 vs 675 cells\/\u00b5L, p=0.01). In multivariable regression\nanalysis, women (adjusted odd ratio [aOR] 1.9; 95%CI 1.1-3.6, p=0.019), age \u226560\nyears (aOR 1.9; 95%CI 1.1-3.4, p=0.03), and education lower than bachelor\ndegree (aOR 2.2; 95%CI 1.3-3.6, p=0.002) were associated with NCI. cIMT and HIV\nrelated factors were not associated with NCI. <\/p>\n\n\n\n<p>(Source: Hiransuthikul A., et al., Higher\nprevalence of neurocognitive impairment among aging HIV-infected women despite\nlower comorbidities than men. Abstract # TUPEB072. Presented at 22<sup>nd<\/sup>\nInternational AIDS Conference 2018)<\/p>\n\n\n\n<p>58.25% were males with median age 54 yrs, BMI\nof 23 kg\/m2. In the IR group, hypertension, body mass index (BMI), waist hip\nratio, body fat, visceral fat rating, fasting insulin, fasting plasma glucose,\ntriglyceride levels, TG\/HDL-C index, TyG index and Mets were significantly\nhigher than in the non-IR group. The median TyG index was significantly\ndifferent between the IR group (N=84) and non-IR group (N=201), at 9.1\n(IQR8.7-9.4) and 8.7 (IQR 8.3-9.1), respectively (P&lt; 0.001). The median\nTG\/HDL-C index was significantly higher among the IR group than non-IR group\n[4.3 (IQR 2.8-6.3) vs 2.8 (IQR 1.8-4.5); P&lt; 0.001]. The TyG index and\nTG\/HDL-C were well correlated with HOMA-IR (r=0.39; P&lt; 0.001 and r=0.31;\nP&lt; 0.001, respectively). The TyG index showed a strong positive association\nwith ASCVD (r=0.35; P&lt; 0.001). The cut-off of the TyG index for diagnosis of\ninsulin resistance was 9.0 with sensitivity 0.61 and specificity 0.72. HOMA-IR\nscore increased by 57% for every 1 unit increase in TyG. <\/p>\n\n\n\n<p>(Source: Apornpong T, et al.,\nTriglycerides\/glucose index is a simple and clinically useful surrogate for\ninsulin resistance among non-diabetic HIV-infected Aging in Asia. Abstract #\nTUPEB116. Presented at 22<sup>nd<\/sup> International AIDS Conference 2018)<\/p>\n\n\n\n<p>Totally 316 HIV-infected adults (median age\n54.4 years, 61% men, 15.8% diabetes, 40.2% hypertension) were included. The\nmedian duration of ART was 16.3 years and 32% were currently on boosted PI. The\nmean overall cIMT of the common carotid arteries were 0.63 (IQR 0.55-0.72) mm.\nMen had higher cIMT (0.64 (IQR 0.56-0.76) vs 0.60 (IQR 0.53-0.70), p=0.03.\nOverall, 3.8% had ciMT &gt;0.9 mm and 27.6% had carotid plaque. From the\nmultivariate logistic regression analysis, age [odds ratio (OR) 1.06; 95%\nconfidence interval (CI) 1.003-1.12; p=0.04] and CD4 nadir &lt; 200 cells\/mm3\n[OR 1.8; 95%CI 1.02-3.18, p=0.04] were significantly associated with\nsubclinical atherosclerosis. ART regimen and hs-CRP were not associated with\nsubclinical atherosclerosis.<\/p>\n\n\n\n<p>(Source: Avihingsanon A, et al., Prevalence\nand risk factors associated with carotid plaque and intima-medial thickness in\nvirologically suppressed HIV-infected Asians. Abstract # TUPEB101. Presented at\n22<sup>nd<\/sup> International AIDS Conference 2018)<\/p>\n\n\n\n<p>Among 357 participants (median [IQR] age of\n54.4 [52.2-60.4] years, 37.5% female) enrolled, median CD4 was 614 (477-797)\ncells\/\u00b5L, 97.2% had HIV RNA &lt; 40 copies\/mL, and the most common ART were TDF\n(84%) and efavirenz (58.3%). A total of 216 (60.5%) had NCI, and women had\nhigher NCI prevalence than men (70.9% vs 54.3%, p=0.002). Women performed\nsignificantly worse than men in visuospatial\/executive, naming, attention,\nlanguage, abstraction, and orientation domains (p&lt; 0.05). More women had\neducation lower than bachelor degree (82.1% vs 61.0%, p&lt; 0.001) and income\n&lt; 300$\/month (52.2% vs 31.8%, p&lt; 0.001); whereas more men had HBV\ninfection (25.1% vs 14.9%, p=0.02), HCV infection (13.1 vs 6%, p=0.03), class C\nCDC classification (20% vs 9.2%, p=0.007), diabetes mellitus (21.1% vs 9.7%,\np=0.005), hypertension (51.1% vs 29.1%, p&lt; 0.001), abnormal cIMT (6.4% vs\n1.6%, p=0.042), and lower median CD4 cell counts (599 vs 675 cells\/\u00b5L, p=0.01).\nIn multivariable regression analysis, women (adjusted odd ratio [aOR] 1.9;\n95%CI 1.1-3.6, p=0.019), age \u226560 years (aOR 1.9; 95%CI 1.1-3.4, p=0.03), and\neducation lower than bachelor degree (aOR 2.2; 95%CI 1.3-3.6, p=0.002) were\nassociated with NCI. cIMT and HIV related factors were not associated with NCI.<\/p>\n\n\n\n<p>(Source: Hiransuthikul A, et al., Higher\nprevalence of neurocognitive impairment among aging HIV-infected women despite\nlower comorbidities than men Abstract # TUPEB072. Presented at 22<sup>nd<\/sup>\nInternational AIDS Conference 2018)<\/p>\n\n\n\n<p>Participants were male (60%) with median (IQR)\nage 54.4 (51.9- 58.3) years. Most were non-smokers and reported no alcohol\nconsumption. HIV positive had been taking ART for a median of 16.1 (11.9-19.1)\nyears and 97% had HIV RNA&lt; 50 c\/mL. Baseline characteristics amongst study\ngroups were similar, but compared to HIV-negative participants, HIV-positive\nparticipants had lower BMI (median 22.8 vs 24.6kg\/m2 ), percent body fat (23%VS\n25.4%), and visceral fat rating in the high range (26% VS 44%), but higher\nprevalence of hypertension (HT) (37% VS 20%) and Hepatitis C (10% VS 2%). IR\nwas prevalent in 29% of HIV-positive compared to 16% in HIV-negative\nparticipants. In an adjusted model, IR was associated with HIV status (adjusted\nodds ratio [aOR] 5.22 (95%CI 1.91 &#8211; 14.24); P=001), HT (aOR 2.8 (95%CI\n1.48-5.28); P=0.002) , hsCRP &gt;3mg\/L (aOR 2.35 (95%CI 1.15 &#8211; 4.79); P=0.02),\nhigh visceral fat scores (aOR 3.87 (95%CI 1.81 &#8211; 8.29); P=0.001 and higher\nliver fibrosis scores (aOR 1.08 (95%CI 1.002 &#8211; 1.17); P=0.045). Association of\nART regimen and IR was not observed.<\/p>\n\n\n\n<p>(Source: Apornpong T, et al., Higher\nprevalence of insulin resistance among non diabetes HIV-infected ageing Asian\nreceived long term ART compared to HIV uninfected control. Abstract # TUPEB119.\nPresented at 22<sup>nd<\/sup> International AIDS Conference 2018)<\/p>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\t\t\t\tThis study will assess the depression, vitamin D deficiency and osteoporosis among aging HIV-infected and HIV-uninfected population in Thailand \t\t<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[],"class_list":["post-1804","post","type-post","status-publish","format-standard","hentry","category-studies"],"_links":{"self":[{"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/posts\/1804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/comments?post=1804"}],"version-history":[{"count":0,"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/posts\/1804\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/media?parent=1804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/categories?post=1804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hivnat.org\/en\/wp-json\/wp\/v2\/tags?post=1804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}