The impact on health-related quality of life of treatment interruptions in HIV-1-infected patients
Bibliographic record
Abstract
To examine health-related quality of life (HRQOL) before, during and after treatment interruptions (TI) in antiretroviral therapy, we analysed results from Medical Outcomes Study HIV health surveys on 50 HIV-1-infected patients. HRQOL scores decreased during a TI but increased after re-initiating treatment, although scores remained lower than those preceding the TI. The reasons for a TI differentially affected HRQOL. The findings suggest that TI should be based on medical decisions and not used to increase HRQOL. Treatment interruptions (TI) in highly active antiretroviral therapy (HAART) are used for a wide range of legitimate clinical reasons [1–8]. The demands of adhering rigorously to a HAART regimen over many years as well as the toxicities associated with almost every antiretroviral drug suggests that there might be a substantial benefit in health-related quality of life (HRQOL) from stopping treatment [9–11]. The well-described deterioration in laboratory markers such as the declining CD4 cell count and a burst in viral replication after a TI might be balanced by a short-term improvement in the quality of life [12–14]. We investigated this relationship by using a well-used and reliable instrument, the Medical Outcomes Study HIV Health Survey (MOS-HIV) to look at the HRQOL data in both the general and the TI subset of a large cohort of patients being followed, prospectively, over many years in a health economics study. HRQOL is a multidimensional concept that includes general health perceptions, physical and social functional status, psychological and mental health, and cognitive perceptions. It is a measure used to evaluate self-perceived health status. HRQOL has been measured in a variety of HIV-positive populations [15]. The impact a TI has on HRQOL has not yet been well described. We analysed this impact before, during and after a TI and compared any changes in HRQOL with patients remaining on continuous therapy. From October 1999 to April 2002, 294 patients at the Southern Alberta Clinic were administered a MOS-HIV health survey as part of an ongoing economic study involving 80% of eligible patients attending our clinic. The study is independent of any drug regimen or subsequent changes in their drugs. HRQOL measures were collected at the initial visit after the patient consented to participate in the study, and at subsequent visits at approximately 3–4 month intervals. HRQOL was evaluated using the MOS-HIV [16], which is a 35-item general HRQOL measure containing 11 subscales that are scored independently. Subscale dimensions include: general overall perception of health, quality of life, mental health, physical functioning, pain, levels of energy and fatigue, social functioning, role functioning, health distress, cognitive functioning, and health transition. Higher scores on all of the scales (range 0–100) indicate better functioning. Univariate and bivariate analysis was used to compare populations experiencing a TI with the population remaining on treatment. Non-parametric tests (sign test; Wilcoxon matched-pairs signed-rank test) compared subpopulations of patients who experienced TI. Of the 294 patients enrolled in the ongoing economic study, 50 had experienced a TI of 2 or more months, and completed the MOS-HIV survey before, during or after their TI. Patients experiencing a TI were younger than those remaining on therapy (P = 0.10), but otherwise did not exhibit significant sociodemographic differences. They had, however, lower mean CD4 cell counts, slightly longer times since HIV diagnosis, and were more likely to have AIDS (P = 0.05). The most frequent reasons for undergoing TI included virological failure and drug resistance (41%), adverse effects or toxicity to antiretroviral drugs (36%), or patient decision (14%). Mental health issues and inadequate adherence accounted for the remaining 10% of TI. The mean length of a TI was 5.5 months (range 2–22 months). CD4 cell counts declined from a mean of 443 cells/mm3 before the TI to 328 cells/mm3 during the TI. The mean decline in the CD4 cell count per month during the TI was 65 cells/mm3. The mean HRQOL scores at baseline between patients remaining on therapy and those experiencing a TI are shown in Table 1. Patients starting a TI, however, had a lower mean baseline scores in 10 of the 11 HRQOL dimensions than those remaining on therapy, with only the mental health score higher in the TI population. Scores for pain, levels of energy and fatigue, social functioning, role functioning, and health transition showed statistically significant differences (P < 0.05) at baseline. The mean MOS-HIV scores for the 210 non-TI patients did not show significant trends over 96 weeks, and remained essentially stable.Table 1: Mean health-related quality of life subscale dimension scores between non-treatment interruptions (i.e. patients remaining on therapy) and treatment interruption patients at baseline, and for treatment interruption patients, the mean health-related quality of life subscale scores preceding, during and after a treatment interruption of 2 or more months.For patients experiencing a TI, mean HRQOL scores decreased in nine out of 11 dimensions, with five dimensions declining significantly. When HAART treatment was re-initiated, the mean HRQOL scores increased in seven dimensions but decreased in four dimensions. In only one dimension, health transition, did the mean scores reach or exceed the pre-TI scores. The reason for a TI may significantly impact on HRQOL. Patients starting a TI as a result of viral failure showed significant decreases in HRQOL scores during the TI but rebounded to near pre-TI levels after re-initiating therapy. For patients stopping treatment because of adverse effects HRQOL scores showed more variability. When these patients re-initiated treatment, HRQOL declined for most dimensions, indicating that there was a negative impact on their perception of health. HRQOL scores for patients choosing to stop treatment increased during the TI and decreased when therapy was re-initiated. Small sample sizes preclude overinterpretation of the data; however, the trends seen here indicate important differences in HRQOL between these subsets when the reason for the TI is taken into consideration. Our on-going study continues to analyse these differences. TI are indicated for a variety of reasons. Whereas the virological, immunological, economic, and clinical merits of a TI remain debatable, our study has shown that a TI does not necessarily increase HRQOL, but we did see an improvement in HRQOL on restarting therapy. Overall, we found that TI negatively affects HRQOL both during and after a TI. The findings of this study suggest that healthcare providers and patients should view a TI as a medical decision and not as a means to increase HRQOL. Acknowledgements The authors would like to thank Cailen Henry for her assistance in data collection and analysis, and to acknowledge the support received from the HIV Economic Study Group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".