Optimizing home visits through machine learning for preventing peritoneal dialysis-associated peritonitis: a proof of concept study and results from PDOPPS

Tossaporn Sapsitthikul¹, Krit Pongpirul^{2

3

4}, Talerngsak Kanjanabuch^{1

5

6}, Piyatida Chuengsaman⁷, Proadpran Punyabukkana⁸, Ploy N Pratanwanich^{9

10}, Panus Sawetpiyakul¹¹, Dhammika Leshan Wannigama^{12

13

14

15

16

17}, Paweena Susantitaphong^{1

18}, Natavudh Townamchai¹, Yingyos Avihingsanon¹, Jeffrey Perl¹⁹, David W Johnson^{20

21

22}, Roberto Pecoits-Filho²³, Somchai Eiam-Ong¹, Kriang Tungsanga¹, Jiruth Sriratanaban²; Thailand PDOPPS Steering Committee

Collaborators, Affiliations

Collaborators

Thailand PDOPPS Steering Committee:
Kearkiat Praditpornsilpa, Kriang Tungsanga, Piyaporn Towannang, Kanittha Triamamornwooth, Pichet Lorvinitnun, Sirinart Raweewan, Jitta Matawon, Nisa Thongbor, Suchai Sritippayawan, Nipa Aiyasanon, Guttiga Halue, Donkum Kaewboonsert, Pensri Uttayotha, Kittisak Tangjittrong, Wichai Sopassathit, Salakjit Pitakmongkol, Ussanee Poonvivatchaikarn, Bunpring Jaroenpattrawut, Somphon Buranaosot, Sukit Nilvarangkul, Warakoan Satitkan, Wanida Somboonsilp, Pimpong Wongtrakul, Ampai Tongpliw, Anocha Pullboon, Chanchana Boonyakrai, Montha Jankramol, Surapong Narenpitak, Piyarat Rojsanga, Apinya Wechpradit, Sajja Tatiyanupanwong, Chadarat Kleebchaiyaphum, Wadsamon Saikong, Worauma Panya, Siriwan Thaweekote, Sriphrae Uppamai, Jarubut Phisutrattanaporn, Sirirat Sirinual, Natchaporn Doenphai, Setthapon Panyatong, Puntapong Taruangsri, Boontita Prasertkul, Thanchanok Buanet, Rutchanee Chieochanthanakij, Panthira Passorn, Niwat Lounseng, Rujira Luksanaprom, Angsuwarin Wongpiang, Metinee Chaiwut, Worapot Treamtrakanpon, Ruchdaporn Phaichan, Peerapach Rattanasoonton, Wanlaya Thongsiw, Narumon Lukrat, Sayumporn Thaitrong, Phichit Songviriyavithaya, Yupha Laoong, Niparat Pikul, Uraiwan Parinyasiri, Korawee Sukmee, Tossaporn Sapsitthikul, Hathairat Kosing, Hataishanok Boonprasert, Napassaporn Semtapra, Tharaporn Sudjai, Piyarat Kaewprasert, Jarika Homsang, Sudawan Iamngamsup, Pornpan Auamim, Nutchaprang Bumrungwat, Piyatida Chuengsaman, Kandasud Sriudom, Sumalee Chankalee, Banphaeo-Charoenkrung

Affiliations

¹ Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
² Center of Excellence in Preventive and Integrative Medicine and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
³ Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁴ Department of Infection Biology & Microbiomes, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
⁵ Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
⁶ Peritoneal Dialysis Excellent Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
⁷ Banphaeo-Charoenkrung Peritoneal Dialysis Center, Banphaeo Dialysis Group, Banphaeo Hospital, Bangkok, Thailand.
⁸ Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
⁹ Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
¹⁰ Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Bangkok, Thailand.
¹¹ International School of Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
¹² Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
¹³ Department of Microbiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
¹⁴ Center of Excellence in Antimicrobial Resistance and Stewardship, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
¹⁵ School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia.
¹⁶ Biofilms and Antimicrobial Resistance Consortium of ODA Receiving Countries, The University of Sheffield, Sheffield, UK.
¹⁷ Pathogen Hunter's Research Collaborative Team, Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
¹⁸ Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
¹⁹ St. Michael's Hospital, Toronto, ON, Canada.
²⁰ Department of Kidney and Transplant Services, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland, Australia.
²¹ Australasian Kidney Trials Network, University of Queensland, Brisbane, Australia.
²² Translational Research Institute, Brisbane, Australia.
²³ Arbor Research Collaborative for Health, Ann Arbor, MI, USA.

PMID: 38912223
PMCID: PMC11191826
DOI: 10.1093/ckj/sfae136

Optimizing home visits through machine learning for preventing peritoneal dialysis-associated peritonitis: a proof of concept study and results from PDOPPS

Tossaporn Sapsitthikul et al. Clin Kidney J. 2024.

. 2024 Apr 30;17(6):sfae136.

doi: 10.1093/ckj/sfae136. eCollection 2024 Jun.

Authors

Collaborators

Thailand PDOPPS Steering Committee:
Kearkiat Praditpornsilpa, Kriang Tungsanga, Piyaporn Towannang, Kanittha Triamamornwooth, Pichet Lorvinitnun, Sirinart Raweewan, Jitta Matawon, Nisa Thongbor, Suchai Sritippayawan, Nipa Aiyasanon, Guttiga Halue, Donkum Kaewboonsert, Pensri Uttayotha, Kittisak Tangjittrong, Wichai Sopassathit, Salakjit Pitakmongkol, Ussanee Poonvivatchaikarn, Bunpring Jaroenpattrawut, Somphon Buranaosot, Sukit Nilvarangkul, Warakoan Satitkan, Wanida Somboonsilp, Pimpong Wongtrakul, Ampai Tongpliw, Anocha Pullboon, Chanchana Boonyakrai, Montha Jankramol, Surapong Narenpitak, Piyarat Rojsanga, Apinya Wechpradit, Sajja Tatiyanupanwong, Chadarat Kleebchaiyaphum, Wadsamon Saikong, Worauma Panya, Siriwan Thaweekote, Sriphrae Uppamai, Jarubut Phisutrattanaporn, Sirirat Sirinual, Natchaporn Doenphai, Setthapon Panyatong, Puntapong Taruangsri, Boontita Prasertkul, Thanchanok Buanet, Rutchanee Chieochanthanakij, Panthira Passorn, Niwat Lounseng, Rujira Luksanaprom, Angsuwarin Wongpiang, Metinee Chaiwut, Worapot Treamtrakanpon, Ruchdaporn Phaichan, Peerapach Rattanasoonton, Wanlaya Thongsiw, Narumon Lukrat, Sayumporn Thaitrong, Phichit Songviriyavithaya, Yupha Laoong, Niparat Pikul, Uraiwan Parinyasiri, Korawee Sukmee, Tossaporn Sapsitthikul, Hathairat Kosing, Hataishanok Boonprasert, Napassaporn Semtapra, Tharaporn Sudjai, Piyarat Kaewprasert, Jarika Homsang, Sudawan Iamngamsup, Pornpan Auamim, Nutchaprang Bumrungwat, Piyatida Chuengsaman, Kandasud Sriudom, Sumalee Chankalee, Banphaeo-Charoenkrung

Affiliations

¹ Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
² Center of Excellence in Preventive and Integrative Medicine and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
³ Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁴ Department of Infection Biology & Microbiomes, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
⁵ Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
⁶ Peritoneal Dialysis Excellent Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
⁷ Banphaeo-Charoenkrung Peritoneal Dialysis Center, Banphaeo Dialysis Group, Banphaeo Hospital, Bangkok, Thailand.
⁸ Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
⁹ Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
¹⁰ Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Bangkok, Thailand.
¹¹ International School of Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
¹² Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
¹³ Department of Microbiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
¹⁴ Center of Excellence in Antimicrobial Resistance and Stewardship, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
¹⁵ School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia.
¹⁶ Biofilms and Antimicrobial Resistance Consortium of ODA Receiving Countries, The University of Sheffield, Sheffield, UK.
¹⁷ Pathogen Hunter's Research Collaborative Team, Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
¹⁸ Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
¹⁹ St. Michael's Hospital, Toronto, ON, Canada.
²⁰ Department of Kidney and Transplant Services, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland, Australia.
²¹ Australasian Kidney Trials Network, University of Queensland, Brisbane, Australia.
²² Translational Research Institute, Brisbane, Australia.
²³ Arbor Research Collaborative for Health, Ann Arbor, MI, USA.

PMID: 38912223
PMCID: PMC11191826
DOI: 10.1093/ckj/sfae136

No abstract available

PubMed Disclaimer

Conflict of interest statement

D.J. has previously received consultancy fees, research grants, speaker's honoraria, and travel sponsorships from Baxter Healthcare and Fresenius Medical Care, consultancy fees from AstraZeneca and AWAK, and travel sponsorships from Amgen. He is supported by an Australian National Health and Medical Research Council Leadership Investigator Grant. J.P. has received speaking honoraria from Astra Zeneca, Baxter Healthcare, DaVita Healthcare Partners, Fresenius Medical Care, Dialysis Clinics Incorporated, Satellite Healthcare, and has served as a consultant for Baxter Healthcare, DaVita Healthcare Partners, Fresenius Medical Care, and LiberDi. T.K. has received consultancy fees from VISTERRA as a country investigator and current recipient of the National Research Council of Thailand and received speaking honoraria from Astra Zeneca and Baxter Healthcare. The remaining authors have declared no commercial or financial relationships that could be perceived as potential conflicts of interest associated with this article.

Figures

**Figure 1:**
Top 50 sequences prioritized for visiting PD patients of Hospital B and Hospital S.

See this image and copyright information in PMC

References

1. Li PK, Chow KM, Cho Y et al. ISPD peritonitis guideline recommendations: 2022 update on prevention and treatment. Perit Dial Int 2022;42:110–53. 10.1177/08968608221080586 - DOI - PubMed
1. Figueiredo AE, Bernardini J, Bowes E et al. A syllabus for teaching peritoneal dialysis to patients and caregivers. Perit Dial Int 2016;36:592–605. 10.3747/pdi.2015.00277 - DOI - PMC - PubMed
1. Chan L, Vaid A, Nadkarni GN. Applications of machine learning methods in kidney disease: hope or hype? Curr Opin Nephrol Hypertens 2020;29:319–26. 10.1097/MNH.0000000000000604 - DOI - PMC - PubMed
1. Kanjanabuch T, Puapatanakul P, Halue G et al. Implementation of PDOPPS in a middle-income country: early lessons from Thailand. Perit Dial Int 2022;42:83–91. 10.1177/0896860821993950 - DOI - PubMed
1. Kanjanabuch T, Pongpirul K. Peritoneal dialysis care during the COVID-19 pandemic, Thailand. Bull World Health Organ 2022;100:155–60. 10.2471/BLT.21.286792 - DOI - PMC - PubMed

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Optimizing home visits through machine learning for preventing peritoneal dialysis-associated peritonitis: a proof of concept study and results from PDOPPS

Collaborators

Affiliations

Optimizing home visits through machine learning for preventing peritoneal dialysis-associated peritonitis: a proof of concept study and results from PDOPPS

Authors

Collaborators

Affiliations

Conflict of interest statement

Figures

References

LinkOut - more resources

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