Effect of weight gain on blood pressure in Ugandan persons with HIV on dolutegravir/lamivudine/ tenofovir disoproxil fumarate over 48 weeks Article Swipe
Willington Amutuhaire
,
Barbara Castelnuovo
,
Nele Brusselaers
,
Martin Nabwana
,
Lal Muhammad
,
Brendan Maloney
,
B. Nixon
,
Jean‐Marc Schwarz
,
Frank Mulindwa
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0325020
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0325020
Background Most people living with HIV in low and middle-income countries are taking fixed dose combination tenofovir disoproxil fumarate/lamivudine/dolutegravir (TLD). Dolutegravir use has been associated with weight gain, a known risk factor for hypertension. We aimed to determine if weight gain in Ugandan anti-retroviral therapy (ART) naïve patients on TLD correlated with increase in blood pressure. Methods We analyzed data from the ‘Glucose metabolism changes in Ugandan persons with HIV (PLHIV) on Dolutegravir (GLUMED)’ study which was a prospective cohort study with ART naïve persons with HIV ≥ 18 years followed up on TLD over 48 weeks. A scatter plot with 95% confidence intervals and regression line illustrating the relationship between weight change and mean arterial pressure (MAP) change from baseline to 48 weeks was created. To further examine the effect of weight change on MAP, we performed a linear regression analysis, with MAP change as the dependent variable and weight change as the independent variable. Results Of the 220 patients’ data analyzed, 129 (58.6%) were female, the median baseline age was 31 years (interquartile range (IQR): 27.0–38.0), the median baseline CD4 cell count was 319 cells/mm 3 (IQR 160.0–524.0). The median weight gain over 48 weeks was 3.0 (IQR: −0.1–6.3). We found a moderate positive linear relationship between weight gain and MAP over 48 weeks. For every increase in weight of 1 kg over 48 weeks, there was an adjusted increase in MAP by 0.62mmHG. Conclusion We provide additional evidence to suggest that the noticed weight gain after starting dolutegravir based ART may be associated with a heightened risk of incident hypertension.
Related Topics
Concepts
Dolutegravir
Tenofovir
Lamivudine
Medicine
Virology
Human immunodeficiency virus (HIV)
Blood pressure
Pharmacology
Internal medicine
Viral load
Antiretroviral therapy
Virus
Hepatitis B virus
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0325020
- OA Status
- gold
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411203859
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411203859Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0325020Digital Object Identifier
- Title
-
Effect of weight gain on blood pressure in Ugandan persons with HIV on dolutegravir/lamivudine/ tenofovir disoproxil fumarate over 48 weeksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-11Full publication date if available
- Authors
-
Willington Amutuhaire, Barbara Castelnuovo, Nele Brusselaers, Martin Nabwana, Lal Muhammad, Brendan Maloney, B. Nixon, Jean‐Marc Schwarz, Frank MulindwaList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0325020Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0325020Direct OA link when available
- Concepts
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Dolutegravir, Tenofovir, Lamivudine, Medicine, Virology, Human immunodeficiency virus (HIV), Blood pressure, Pharmacology, Internal medicine, Viral load, Antiretroviral therapy, Virus, Hepatitis B virusTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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25Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.MAP | 143, 212, 233 |
| abstract_inverted_index.TLD | 49, 93 |
| abstract_inverted_index.The | 190 |
| abstract_inverted_index.age | 170 |
| abstract_inverted_index.and | 8, 104, 113, 149, 211 |
| abstract_inverted_index.are | 11 |
| abstract_inverted_index.for | 32 |
| abstract_inverted_index.has | 22 |
| abstract_inverted_index.low | 7 |
| abstract_inverted_index.may | 253 |
| abstract_inverted_index.the | 61, 108, 129, 146, 153, 158, 167, 178, 244 |
| abstract_inverted_index.use | 21 |
| abstract_inverted_index.was | 76, 124, 171, 184, 197, 228 |
| abstract_inverted_index.≥ | 87 |
| abstract_inverted_index.(IQR | 188 |
| abstract_inverted_index.MAP, | 135 |
| abstract_inverted_index.Most | 1 |
| abstract_inverted_index.been | 23 |
| abstract_inverted_index.cell | 182 |
| abstract_inverted_index.data | 59, 161 |
| abstract_inverted_index.dose | 14 |
| abstract_inverted_index.from | 60, 119 |
| abstract_inverted_index.gain | 40, 193, 210, 247 |
| abstract_inverted_index.line | 106 |
| abstract_inverted_index.mean | 114 |
| abstract_inverted_index.over | 94, 194, 213, 224 |
| abstract_inverted_index.plot | 99 |
| abstract_inverted_index.risk | 30, 259 |
| abstract_inverted_index.that | 243 |
| abstract_inverted_index.were | 165 |
| abstract_inverted_index.with | 4, 25, 51, 68, 81, 85, 100, 142, 256 |
| abstract_inverted_index.(ART) | 45 |
| abstract_inverted_index.(IQR: | 199 |
| abstract_inverted_index.(MAP) | 117 |
| abstract_inverted_index.after | 248 |
| abstract_inverted_index.aimed | 35 |
| abstract_inverted_index.based | 251 |
| abstract_inverted_index.blood | 54 |
| abstract_inverted_index.count | 183 |
| abstract_inverted_index.every | 217 |
| abstract_inverted_index.fixed | 13 |
| abstract_inverted_index.found | 202 |
| abstract_inverted_index.gain, | 27 |
| abstract_inverted_index.known | 29 |
| abstract_inverted_index.range | 175 |
| abstract_inverted_index.study | 74, 80 |
| abstract_inverted_index.there | 227 |
| abstract_inverted_index.weeks | 123, 196 |
| abstract_inverted_index.which | 75 |
| abstract_inverted_index.years | 89, 173 |
| abstract_inverted_index.(IQR): | 176 |
| abstract_inverted_index.(TLD). | 19 |
| abstract_inverted_index.change | 112, 118, 133, 144, 151 |
| abstract_inverted_index.cohort | 79 |
| abstract_inverted_index.effect | 130 |
| abstract_inverted_index.factor | 31 |
| abstract_inverted_index.linear | 139, 206 |
| abstract_inverted_index.living | 3 |
| abstract_inverted_index.median | 168, 179, 191 |
| abstract_inverted_index.naïve | 46, 83 |
| abstract_inverted_index.people | 2 |
| abstract_inverted_index.taking | 12 |
| abstract_inverted_index.weeks, | 226 |
| abstract_inverted_index.weeks. | 96, 215 |
| abstract_inverted_index.weight | 26, 39, 111, 132, 150, 192, 209, 220, 246 |
| abstract_inverted_index.(58.6%) | 164 |
| abstract_inverted_index.(PLHIV) | 70 |
| abstract_inverted_index.Methods | 56 |
| abstract_inverted_index.Results | 156 |
| abstract_inverted_index.Ugandan | 42, 66 |
| abstract_inverted_index.between | 110, 208 |
| abstract_inverted_index.changes | 64 |
| abstract_inverted_index.examine | 128 |
| abstract_inverted_index.female, | 166 |
| abstract_inverted_index.further | 127 |
| abstract_inverted_index.noticed | 245 |
| abstract_inverted_index.persons | 67, 84 |
| abstract_inverted_index.provide | 238 |
| abstract_inverted_index.scatter | 98 |
| abstract_inverted_index.suggest | 242 |
| abstract_inverted_index.therapy | 44 |
| abstract_inverted_index.adjusted | 230 |
| abstract_inverted_index.analyzed | 58 |
| abstract_inverted_index.arterial | 115 |
| abstract_inverted_index.baseline | 120, 169, 180 |
| abstract_inverted_index.cells/mm | 186 |
| abstract_inverted_index.created. | 125 |
| abstract_inverted_index.evidence | 240 |
| abstract_inverted_index.followed | 90 |
| abstract_inverted_index.incident | 261 |
| abstract_inverted_index.increase | 52, 218, 231 |
| abstract_inverted_index.moderate | 204 |
| abstract_inverted_index.patients | 47 |
| abstract_inverted_index.positive | 205 |
| abstract_inverted_index.pressure | 116 |
| abstract_inverted_index.starting | 249 |
| abstract_inverted_index.variable | 148 |
| abstract_inverted_index.0.62mmHG. | 235 |
| abstract_inverted_index.analysis, | 141 |
| abstract_inverted_index.analyzed, | 162 |
| abstract_inverted_index.countries | 10 |
| abstract_inverted_index.dependent | 147 |
| abstract_inverted_index.determine | 37 |
| abstract_inverted_index.intervals | 103 |
| abstract_inverted_index.performed | 137 |
| abstract_inverted_index.pressure. | 55 |
| abstract_inverted_index.tenofovir | 16 |
| abstract_inverted_index.variable. | 155 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 236 |
| abstract_inverted_index.additional | 239 |
| abstract_inverted_index.associated | 24, 255 |
| abstract_inverted_index.confidence | 102 |
| abstract_inverted_index.correlated | 50 |
| abstract_inverted_index.disoproxil | 17 |
| abstract_inverted_index.heightened | 258 |
| abstract_inverted_index.metabolism | 63 |
| abstract_inverted_index.regression | 105, 140 |
| abstract_inverted_index.‘Glucose | 62 |
| abstract_inverted_index.(GLUMED)’ | 73 |
| abstract_inverted_index.combination | 15 |
| abstract_inverted_index.independent | 154 |
| abstract_inverted_index.patients’ | 160 |
| abstract_inverted_index.prospective | 78 |
| abstract_inverted_index.Dolutegravir | 20, 72 |
| abstract_inverted_index.dolutegravir | 250 |
| abstract_inverted_index.illustrating | 107 |
| abstract_inverted_index.relationship | 109, 207 |
| abstract_inverted_index.27.0–38.0), | 177 |
| abstract_inverted_index.hypertension. | 33, 262 |
| abstract_inverted_index.middle-income | 9 |
| abstract_inverted_index.(interquartile | 174 |
| abstract_inverted_index.−0.1–6.3). | 200 |
| abstract_inverted_index.160.0–524.0). | 189 |
| abstract_inverted_index.anti-retroviral | 43 |
| abstract_inverted_index.fumarate/lamivudine/dolutegravir | 18 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5118122526, https://openalex.org/A5026295604, https://openalex.org/A5051436469, https://openalex.org/A5067597194, https://openalex.org/A5076036163, https://openalex.org/A5024925052, https://openalex.org/A5066398802, https://openalex.org/A5078997902, https://openalex.org/A5033622874 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I1335113835, https://openalex.org/I149213910, https://openalex.org/I180670191, https://openalex.org/I20388574, https://openalex.org/I24624658, https://openalex.org/I32971472, https://openalex.org/I4210113162, https://openalex.org/I4210116188, https://openalex.org/I4210121676, https://openalex.org/I72227227 |
| citation_normalized_percentile.value | 0.32912489 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |