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印度高危人群慢性肾脏病筛查的即时检验与集成数字健康技术

Point-of-Care Testing and Integrated Digital Health Technology for CKD Screening in High-Risk Populations of India.

作者信息

Rama Krishna Chinta, Venkateswar Shri, Bogdan Milojkovic, Dennis Begos, Shyamala Kemisetti, Naresh Kumar Chintagunti, Boris Bikbov

机构信息

Department of Nephrology, Vedanta Hospitals, Guntur, Andhra Pradesh, India.

HelloKidney.ai, Hyderabad, Telangana, India.

出版信息

Kidney Int Rep. 2025 Apr 21;10(7):2128-2139. doi: 10.1016/j.ekir.2025.04.014. eCollection 2025 Jul.

Abstract

INTRODUCTION

Chronic kidney disease (CKD) is a significant contributor to morbidity, mortality, and health care expenditure. Lack of early diagnosis with treatment leads to progression to advanced stages requiring high-cost interventions. The current pilot study examined the feasibility of using point-of-care testing (POCT) and digital health technology for CKD screening.

METHODS

We performed screening in the following 2 populations: (i) 843 persons from high-risk urban (HRU) population with noncommunicable diseases (NCDs), and (ii) 1217 persons from the hotspot CKD of unknown etiology (CKDu) rural (HCR) area population followed up in primary health centers (PHCs) in the Andhra Pradesh state of India. We followed the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines suggesting POCT use for serum creatinine and urinary albumin-to-creatinine ratio (UACR) determination in the settings with limited laboratory access.

RESULTS

Mean age was 54.4 (12.1) years, and 60.9% were female. CKD was identified in 57.5% and 61.8% of the city and rural groups, respectively. The HRU and HCR groups differed in the percentage of estimated glomerular filtration rate (eGFR) grade 4 (4.4% vs. 12.5%) and grade 5 (1.4% vs. 9.8%) and albuminuria grade A2 (8.1% vs. 20.6%) and A3 (12.6% vs. 7.1). In the HCR 48.4% of patients with CKD had no comorbidities. Only 1.4% in the HRU and 16.5% in the HCR groups were aware of existing CKD, even in the presence of multiple CKD risk factors.

CONCLUSION

CKD screening using POCT and digital health technology allowed diagnosis of CKD in patients of high-risk groups and should be scaled up with the final goal to ensure early diagnosis, decrease costs, and improve patients' clinical management.

摘要

引言

慢性肾脏病(CKD)是导致发病、死亡和医疗保健支出的重要因素。缺乏早期诊断和治疗会导致疾病进展到晚期,需要进行高成本干预。当前的试点研究考察了使用即时检验(POCT)和数字健康技术进行CKD筛查的可行性。

方法

我们在以下两组人群中进行了筛查:(i)来自城市高危(HRU)非传染性疾病(NCD)人群的843人,以及(ii)来自印度安得拉邦农村地区病因不明的慢性肾脏病热点地区(CKDu)的1217人,这些人在初级卫生中心(PHC)接受随访。我们遵循了肾脏病:改善全球预后(KDIGO)指南,该指南建议在实验室条件有限的情况下使用POCT测定血清肌酐和尿白蛋白与肌酐比值(UACR)。

结果

平均年龄为54.4(12.1)岁,女性占60.9%。城市和农村组中分别有57.5%和61.8%的人被诊断为CKD。HRU组和HCR组在估计肾小球滤过率(eGFR)4级(4.4%对12.5%)和5级(1.4%对9.8%)以及白蛋白尿A2级(8.1%对20.6%)和A3级(12.6%对7.1%)的百分比方面存在差异。在HCR组中,48.4%的CKD患者没有合并症。即使存在多种CKD危险因素,HRU组中只有1.4%的人、HCR组中只有16.5%的人知晓自己患有CKD。

结论

使用POCT和数字健康技术进行CKD筛查能够诊断高危人群中的CKD患者,应扩大规模,最终目标是确保早期诊断、降低成本并改善患者的临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c297/12266205/b1bbda5f28b1/ga1.jpg

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