Prospective association of social circumstance, socioeconomic, lifestyle and mental health factors with subsequent hospitalisation over 6–7 year follow up in people living with HIV

Rein, Sophia M.; Smith, Colette; Chaloner, Clinton; Stafford, Adam; Rodger, Alison; Johnson, Margaret; McDonnell, Jeffrey J.; Burns, Fiona; Madge, Sara; Miners, Alec; Sherr, Lorraine; Collins, Simon; Speakman, Andrew; Phillips, Andrew; Lampe, Fiona

doi:10.1016/j.eclinm.2020.100665

Cited by 12 publications

(14 citation statements)

References 37 publications

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“…Globally, IDU was estimated to cause 4.0% (2.82 million) of disability-adjusted life year due to HIV (DEGENHARDT et al, 2013). On the other hand, socioeconomic disadvantage, adverse lifestyle factors and poorer mental health were strong predictors of hospitalization in IDU (REIN et al, 2020). The authors hypothesize that reduced previous ART taking, inconstant healthcare, and possible socioeconomic circumstances may contribute to mortality in this cohort.…”

Section: Three-year Mortality Predictive Factorsmentioning

confidence: 84%

Mortality predictive factors of people living with human immunodeficiency virus and bloodstream infection

Matos¹,

Lopes²,

Serra³

et al. 2021

International Journal of Infectious Diseases

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Section: Three-year Mortality Predictive Factorsmentioning

confidence: 84%

Mortality predictive factors of people living with human immunodeficiency virus and bloodstream infection

Matos¹,

Lopes²,

Serra³

et al. 2021

International Journal of Infectious Diseases

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“…Overall, 43% of those hospitalised had previous AIDS at baseline (2011) compared to 34% in the whole study population. Our previous findings showed that lower baseline CD4 nadir predicted hospitalisation in this population [ 9 ]. The potential long-lasting effects of immunosuppression on a range of morbidities beyond ADIs specifically [ 17 ] reinforces the importance of timely diagnosis and treatment for HIV.…”

Section: Discussionmentioning

confidence: 95%

“…We previously reported on the association of baseline factors with subsequent all cause hospitalisation [ 9 ]; this report presents a descriptive analysis of the causes of hospitalisation and patient characteristics of those admitted for the most common causes.…”

Section: Methodsmentioning

confidence: 99%

“…We investigated hospitalisations during a six-to-seven-year period among 798 PLHIV recruited from a London centre in 2011. We previously reported on predictors of all-cause hospitalisation in this cohort [ 9 ]. Based on a detailed individual record review, we now describe the spectrum of ICD-10 classified causes of hospitalisations, and patient and clinical characteristics at admission.…”

Section: Introductionmentioning

confidence: 99%

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Causes of hospitalisation among a cohort of people with HIV from a London centre followed from 2011 to 2018

et al. 2021

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Background We describe the spectrum of ICD-10 classified causes for hospitalisations occurring between 2011 and 2018 in a cohort of people living with HIV (PLHIV). Methods This sub-study includes 798 PLHIV participating in the Antiretroviral, Sexual Transmission Risk and Attitudes (ASTRA) questionnaire study who were recruited from a large London centre. A medical record review identified the occurrence and causes of hospitalisation from the date of questionnaire completion (February–December 2011) until 1 June 2018. Up to five causes were classified by an HIV clinician using the ICD-10 system. Results There were 274 hospitalisations in 153 people (rate = 5.8/100 person-years; 95% CI: 5.1, 6.5). Causes were wide-ranging; the most common were circulatory (16.8%), digestive (13.1%), respiratory (11.7%), infectious diseases (11.0%), injury/poisoning (10.6%), genitourinary diseases (9.9%) and neoplasms (9.1%). A tenth (27/274) of hospitalisations were related to at least one AIDS-defining illness. Median duration of hospitalisation was 5 days (IQR 2–9). At the time of hospitalisation, median CD4 count was high (510 cells/μl; IQR: 315–739), while median CD4 nadir was relatively low (113 cells/μl; IQR: 40–239). At admission, half of individuals (51%) had a previous AIDS-defining illness and 21% had viral load > 50 copies/ml. Individuals admitted for infectious diseases were particularly likely to have unfavourable HIV-related clinical characteristics (low CD4, viral non-suppression, not on antiretroviral therapy (ART), previous AIDS). Conclusions In the modern combination antiretroviral therapy era, the spectrum of causes of hospitalisation in PLHIV in the UK is wide-ranging, highlighting the importance of holistic care for PLHIV, including prevention, early detection and treatment of comorbidities.

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“…Based on table 2 2 articles were assessed for risk of bias using the JBI critical appraisal checklist for a cohort study and the results were: a score of 81.8% (n=2 articles) (Giraud, J.S, et al, 2020, S.M. Rein et al, 2021). Based on the identification in table 1, 20 articles were assessed for risk of bias using the JBI critical assessment checklist for the design of Cross-Sectional Study, Cohort Study, Prevalence Study, and QuasiExperimental Study.…”

Section: Resultsmentioning

confidence: 99%

PLWHA’s Perspective on Community Stigma for Getting Social Support and Improving Life Quality in the Digital Era

Erwansyah

Pandin

2022

Preprint

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Community stigma against HIV/AIDS is still a problem that must be faced by people living with HIV/AIDS (PLWHA). The existence of stigmatization and discrimination received by PLWHA causes the lack of social support they get. Social support is very important for PLWHA to improve their quality of life. In this digital era where the development of technology and social media is an alternative for PLWHA to get social support online through their community, by sharing information and experiences. This systematic review was conducted through Scopus, Science Direct, ProQuest, and SAGE. The selection of articles followed inclusion criteria, including articles published in the last five years and published in English and discussing perspectives on stigma. Articles published not in English and articles with unclear literature reviews were excluded from this study. The PRISMA flow chart and JBI assessment checklist were used to assess the risk of bias and article quality. 20 relevant articles will be reviewed. The results of the study found that in this digital era PLWHA can take advantage of technological developments and social media to improve their quality of life by getting social support through the online communities they follow.

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Prospective association of social circumstance, socioeconomic, lifestyle and mental health factors with subsequent hospitalisation over 6–7 year follow up in people living with HIV

Cited by 12 publications

References 37 publications

Mortality predictive factors of people living with human immunodeficiency virus and bloodstream infection

Mortality predictive factors of people living with human immunodeficiency virus and bloodstream infection

Causes of hospitalisation among a cohort of people with HIV from a London centre followed from 2011 to 2018

PLWHA’s Perspective on Community Stigma for Getting Social Support and Improving Life Quality in the Digital Era

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