Evidence map›Paper›PMID 37489866›Full record

ArticleClinical cardiology2023

Secular trends of health care resource utilization and costs between Brugada syndrome and congenital long QT syndrome: A territory-wide study.

Sharen Lee, Cheuk To Skylar Chung, Danny Radford, Oscar Hou In Chou, Teddy Tai Loy Lee, Zita Man Wai Ng, Leonardo Roever, Rajesh Rajan, George Bazoukis, Konstantinos P Letsas and 5 more

Abstract read
In one paragraph

Article in Clinical cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sharen LeeCardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China.
Cheuk To Skylar ChungCardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China.
Danny RadfordKent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, Kent, UK.
Oscar Hou In ChouCardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China.
Teddy Tai Loy LeeCardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China.
Zita Man Wai NgCardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China.
Leonardo RoeverDepartment of Clinical Research, Federal University of Uberlandia, Uberlandia, Brazil.ORCID http://orcid.org/0000-0002-7517-5548
Rajesh RajanDepartment of Cardiology, Sabah Al Ahmed Cardiac Centre, Kuwait City, Kuwait.
George BazoukisSecond Department of Cardiology, Evangelismos General Hospital of Athens, Athens, Greece.
Konstantinos P LetsasArrhythmia Unit, Onassis Cardiac Surgery Center, Athens, Greece.
Shaoying ZengGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, China.
Fang Zhou LiuDepartment of Cardiology, Atrial Fibrillation Center, Guangdong Provincial Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Wing Tak WongState Key Laboratory of Agrobiotechnology (CUHK), School of Life Sciences, Chinese University of Hong Kong, Hong Kong, China.
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
Gary TseTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0001-5510-1253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care resource utilization (HCRU) and costs are important metrics of health care burden, but they have rarely been explored in the setting of cardiac ion channelopathies. HYPOTHESIS: This study tested the hypothesis that attendance-related HCRUs and costs differed between patients with Brugada syndrome (BrS) and congenital long QT syndrome (LQTS).

methodsThis was a retrospective cohort study of consecutive BrS and LQTS patients at public hospitals or clinics in Hong Kong, China. HCRUs and costs (in USD) for Accident and Emergency (A&E), inpatient, general outpatient and specialist outpatient attendances were analyzed between 2001 and 2019 at the cohort level. Comparisons were made using incidence rate ratios (IRRs [95% confidence intervals]).

resultsOver the 19-year period, 516 BrS (median age of initial presentation: 51 [interquartile range: 38-61] years, 92% male) and 134 LQTS (median age of initial presentation: 21 [9-44] years, 32% male) patients were included. Compared to LQTS patients, BrS patients had lower total costs (2 008 126 [2 007 622-2 008 629] vs. 2 343 864 [2 342 828-2 344 900]; IRR: 0.857 [0.855-0.858]), higher costs for A&E attendances (83 113 [83 048-83 177] vs. 70 604 [70 487-70 721]; IRR: 1.177 [1.165-1.189]) and general outpatient services (2,176 [2,166-2,187] vs. 921 [908-935]; IRR: 2.363 [2.187-2.552]), but lower costs for inpatient stay (1 391 624 [1 391 359-1 391 889] vs. 1 713 742 [1 713 166-1 714 319]; IRR: 0.812 [0.810-0.814]) and lower costs for specialist outpatient services (531 213 [531 049-531 376] vs. 558 597 [558268-558926]; IRR: 0.951 [0.947-0.9550]).

conclusionsOverall, BrS patients consume 14% less health care resources compared to LQTS patients in terms of attendance costs. BrS patients require more A&E and general outpatient services, but less inpatient and specialist outpatient services than LQTS patients.

Indexed as

Brugada SyndromeLong QT SyndromeAdultArrhythmias, CardiacFemaleHealth Care CostsHumansMaleMiddle AgedPatient Acceptance of Health CareRetrospective StudiesHealth care resource utilization

Identifiers

PMID37489866
PMCPMC10577540

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.