five

Unexpected CD4 decay and hidden adherence gaps

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://data.mendeley.com/datasets/3424c9c6k6
下载链接
链接失效反馈
官方服务:
资源简介:
Dataset of hidden non adherent patients related to paper "Unexpected CD4 decay, hidden adherence gaps, resilience and the need for long-acting therapy in a single HIV outpatients’ cohort" This study examines hidden non-adherence to antiretroviral therapy in a setting of persistent optimal viral suppression but concordant absolute and percent CD4 decay by >10% from the previous test. Investigated, 25% admitted very long treatment interruptions, compensated by treatment resumption before the subsequent testing. Of 668 HIV-infected subjects, 61 fulfilled the pre-specified criteria for significant CD4 decay and 15 (2.25%) admitted treatment interruptions. Eleven treatment interruptions exceeded 28 days, and none was shorter than 15 days. CD4 recovery was worse at 6 months in non-adherent subjects (-0.5 vs + 16/mmc, p<0.0001) and in non adherence vs immune decay time-related with COVID-19 (0 vs + 22/mmc, p<0.0001). Reasons for interrupting treatment were travel, psychological, poverty-related, addiction and love problems. Long-acting regimens, with stringent control of precision in timely administration, may protect PLWH from damaging their health status and possibly transmit HIV.

隐匿性不依从患者数据集,关联论文《单中心HIV门诊队列中意外的CD4细胞计数下降、隐匿性服药依从性缺口、免疫韧性与长效治疗的必要性》("Unexpected CD4 decay, hidden adherence gaps, resilience and the need for long-acting therapy in a single HIV outpatients’ cohort")。本研究针对持续实现最优病毒学抑制、且CD4细胞绝对计数及百分比较上次检测均下降超10%的队列,探讨患者对抗逆转录病毒疗法(antiretroviral therapy)的隐匿性不依从情况。在受访对象中,25%的患者承认存在长时间治疗中断,并在后续检测前恢复服药以弥补中断带来的影响。在668名HIV感染者中,共有61名符合预先设定的显著CD4细胞下降标准,其中15名(占比2.25%)承认存在治疗中断行为。11次治疗中断时长超过28天,无一次短于15天。不依从患者在6个月时的CD4细胞恢复情况显著更差(-0.5 vs +16/立方毫米,p<0.0001);在合并COVID-19相关免疫下降的不依从患者亚组中,其CD4恢复情况同样不佳(0 vs +22/立方毫米,p<0.0001)。治疗中断的原因包括出行、心理问题、贫困相关因素、成瘾行为及情感婚恋问题。严格把控给药及时性与精准度的长效治疗方案,可保护人类免疫缺陷病毒感染者(People Living with HIV, PLWH)避免健康状况受损,并可能降低HIV传播风险。
创建时间:
2023-05-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作