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Article ; Online: Correction to: Postural orthostatic tachycardia syndrome (POTS) and other autonomic disorders after COVID-19 infection: a case series of 20 patients.

Blitshteyn, Svetlana / Whitelaw, Sera

2021 Volume 69, Issue 2, Page(s) 212

Language	English
Publishing date	2021-04-13
Publishing country	United States
Document type	Published Erratum
ZDB-ID	632857-x
ISSN	1559-0755 ; 0257-277X
ISSN (online)	1559-0755
ISSN	0257-277X
DOI	10.1007/s12026-021-09191-7
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Article ; Online: Postural orthostatic tachycardia syndrome (POTS) and other autonomic disorders after COVID-19 infection: a case series of 20 patients.

Blitshteyn, Svetlana / Whitelaw, Sera

Immunologic research

2021 Volume 69, Issue 2, Page(s) 205–211

Abstract: Objective: To describe clinical features, diagnostic findings, treatments, and outcomes in patients with new-onset postural orthostatic tachycardia syndrome (POTS) and other autonomic disorders following SARS-CoV-2 infection (COVID-19).: Methods: We ... ...

Abstract	Objective: To describe clinical features, diagnostic findings, treatments, and outcomes in patients with new-onset postural orthostatic tachycardia syndrome (POTS) and other autonomic disorders following SARS-CoV-2 infection (COVID-19). Methods: We retrospectively reviewed medical records for patients who presented with persistent neurologic and cardiovascular complaints between April and December 2020 following COVID-19 infection. Results: Twenty patients (70% female) were included in this study.Fifteen had POTS, 3 had neurocardiogenic syncope, and 2 had orthostatic hypotension. Six patients had abnormalities on cardiac or pulmonary testing, and 4 had elevated autoimmune or inflammatory markers. All patients were treated with non-pharmacologic therapies, and most required pharmacologic therapies. Six to 8 months after COVID-19, 17 (85%) patients had residual autonomic symptoms, with 12 (60%) unable to return to work. Conclusions: POTS can follow COVID-19 in previously healthy patients. Appropriate diagnostic investigations and therapies are necessary to identify and treat autonomic dysfunction after COVID-19.
MeSH term(s)	Adult ; Aged ; COVID-19/complications ; COVID-19/physiopathology ; COVID-19/therapy ; Female ; Humans ; Male ; Middle Aged ; Postural Orthostatic Tachycardia Syndrome/etiology ; Postural Orthostatic Tachycardia Syndrome/physiopathology ; Postural Orthostatic Tachycardia Syndrome/therapy ; Retrospective Studies ; SARS-CoV-2
Language	English
Publishing date	2021-03-30
Publishing country	United States
Document type	Clinical Trial ; Journal Article
ZDB-ID	632857-x
ISSN	1559-0755 ; 0257-277X
ISSN (online)	1559-0755
ISSN	0257-277X
DOI	10.1007/s12026-021-09185-5
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Article ; Online: A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data.

Abdulazeem, Hebatullah / Whitelaw, Sera / Schauberger, Gunther / Klug, Stefanie J

PloS one

2023 Volume 18, Issue 9, Page(s) e0274276

Abstract: With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. However, there is a lack of literature addressing the health conditions targeted by the ML prediction models within primary health ...

Abstract	With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. However, there is a lack of literature addressing the health conditions targeted by the ML prediction models within primary health care (PHC) to date. To fill this gap in knowledge, we conducted a systematic review following the PRISMA guidelines to identify health conditions targeted by ML in PHC. We searched the Cochrane Library, Web of Science, PubMed, Elsevier, BioRxiv, Association of Computing Machinery (ACM), and IEEE Xplore databases for studies published from January 1990 to January 2022. We included primary studies addressing ML diagnostic or prognostic predictive models that were supplied completely or partially by real-world PHC data. Studies selection, data extraction, and risk of bias assessment using the prediction model study risk of bias assessment tool were performed by two investigators. Health conditions were categorized according to international classification of diseases (ICD-10). Extracted data were analyzed quantitatively. We identified 106 studies investigating 42 health conditions. These studies included 207 ML prediction models supplied by the PHC data of 24.2 million participants from 19 countries. We found that 92.4% of the studies were retrospective and 77.3% of the studies reported diagnostic predictive ML models. A majority (76.4%) of all the studies were for models' development without conducting external validation. Risk of bias assessment revealed that 90.8% of the studies were of high or unclear risk of bias. The most frequently reported health conditions were diabetes mellitus (19.8%) and Alzheimer's disease (11.3%). Our study provides a summary on the presently available ML prediction models within PHC. We draw the attention of digital health policy makers, ML models developer, and health care professionals for more future interdisciplinary research collaboration in this regard.
MeSH term(s)	Humans ; Prognosis ; Retrospective Studies ; Administrative Personnel ; Machine Learning ; Primary Health Care
Language	English
Publishing date	2023-09-08
Publishing country	United States
Document type	Systematic Review ; Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0274276
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Article ; Online: Medical publishing under review.

Van Spall, Harriette Gillian Christine / Whitelaw, Sera

European heart journal

2020 Volume 42, Issue 7, Page(s) 723–725

MeSH term(s)	Humans ; Publishing
Language	English
Publishing date	2020-11-23
Publishing country	England
Document type	Journal Article
ZDB-ID	603098-1
ISSN	1522-9645 ; 0195-668X
ISSN (online)	1522-9645
ISSN	0195-668X
DOI	10.1093/eurheartj/ehaa856
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Zs.A 1563: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Flattening the hierarchies in academic medicine: the importance of diversity in leadership, contribution, and thought.

Whitelaw, Sera / Kalra, Ankur / Van Spall, Harriette G C

European heart journal

2020 Volume 41, Issue 1, Page(s) 9–10

Language	English
Publishing date	2020-01-09
Publishing country	England
Document type	Journal Article
ZDB-ID	603098-1
ISSN	1522-9645 ; 0195-668X
ISSN (online)	1522-9645
ISSN	0195-668X
DOI	10.1093/eurheartj/ehz886
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Zs.A 1563: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Patient-Reported Outcome Measures in Cardiovascular Disease: An Evidence Map of the Psychometric Properties of Health Status Instruments.

Chew, Derek S / Whitelaw, Sera / Vaduganathan, Muthiah / Mark, Daniel B / Van Spall, Harriette G C

Annals of internal medicine

2022 Volume 175, Issue 10, Page(s) 1431–1439

Abstract: Background: Patient-reported outcomes (PROs) are important measures of treatment effect and can be used to inform the approval of cardiovascular drugs and devices by the U.S. Food and Drug Administration (FDA).: Purpose: To catalogue the health ... ...

Abstract	Background: Patient-reported outcomes (PROs) are important measures of treatment effect and can be used to inform the approval of cardiovascular drugs and devices by the U.S. Food and Drug Administration (FDA). Purpose: To catalogue the health status patient-reported outcome measures (PROMs) validated in cardiovascular diseases (CVDs), describe their psychometric properties, and assess adherence with both FDA recommendations and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) framework. Data sources: MEDLINE, EMBASE, CINAHL, and Allied and Complementary Medicine Database from inception to August 2022. Study selection: Studies that developed and/or validated health status PROMs in CVD populations. Data extraction: Two study authors extracted data on CVD type, PROM psychometric properties, and adherence to FDA recommendations. The risk of bias informing the development or validation of PROMs was assessed using the COSMIN framework. Data synthesis: Fifty health status PROMs (described in 83 studies) were identified, of which 45 were disease specific and 5 were generic. Eleven (22%) of the 50 PROMs validated in CVDs had minimally important differences (MIDs) established, and 8 (16%) reported on the validation of all psychometric properties recommended by the FDA. By COSMIN standards, only 2 PROMs (4%) had all of their psychometric properties rated as sufficient in quality, and 32 PROMs (64%) had less than 50% of psychometric properties rated as sufficient. Limitation: The quality of reporting varied across included studies. Conclusion: Of 50 PROMs validated in CVDs, only a small minority reported on the validation of all FDA-recommended psychometric properties, had psychometric properties rated as sufficient by COSMIN, or had MIDs established. Given the use of PROMs to guide FDA approvals of drugs and devices in CVDs, there is a need for better adherence to quality standards in PROM validation. Primary funding source: None.
MeSH term(s)	Cardiovascular Agents ; Cardiovascular Diseases/therapy ; Health Status ; Humans ; Patient Reported Outcome Measures ; Psychometrics ; Quality of Life ; Surveys and Questionnaires
Chemical Substances	Cardiovascular Agents
Language	English
Publishing date	2022-09-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	336-0
ISSN	1539-3704 ; 0003-4819
ISSN (online)	1539-3704
ISSN	0003-4819
DOI	10.7326/M22-2234
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Article ; Online: A scoping review of heart failure transitional care quality indicators and outcomes for use in clinical care and research.

Oskouie, Suzanne / Michael, Faith / Whitelaw, Sera / Bozkurt, Biykem / Fonarow, Gregg C / Van Spall, Harriette G C

European journal of heart failure

2023 Volume 25, Issue 10, Page(s) 1842–1848

Abstract: Aims: There are no accepted quality indicators for transitional care following hospitalization for heart failure (HF). Current quality measures focus on 30-day readmissions without accounting for competing risks such as death. In this scoping review of ... ...

Abstract	Aims: There are no accepted quality indicators for transitional care following hospitalization for heart failure (HF). Current quality measures focus on 30-day readmissions without accounting for competing risks such as death. In this scoping review of clinical trials, we aimed to develop a set of HF transitional care quality indicators for clinical or research applications following hospitalization for HF. Methods and results: We performed a scoping review using MEDLINE, Embase, CINAHL, HealthSTAR, reference lists and grey literature from January 1990 to November 2022. We included randomized controlled trials (RCTs) of adults hospitalized for HF who received a healthcare service or strategy intervention that aimed to improve patient-reported or clinical outcomes. We independently extracted data and performed a qualitative synthesis of the results. We generated a list of process, structure, patient-reported, and clinical measures that could be used as quality indicators. We highlighted process indicators that were associated with improved clinical outcomes and patient-reported outcomes that had high adherence to COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and United States Food and Drug Administration standards. From 42 RCTs included in the study, we identified a set of process, structure, patient-reported, and clinical indicators that could be used as transitional care measures in clinical or research settings. Conclusion: In this scoping review, we developed a list of quality indicators that could guide clinical efforts or serve as research endpoints in transitional care in HF. Clinicians, researchers, institutions, and policymakers can use the indicators to guide management, design research, allocate resources, and fund services that improve clinical outcomes.
MeSH term(s)	Adult ; Humans ; Transitional Care ; Quality Indicators, Health Care ; Heart Failure/therapy ; Hospitalization ; Patient Readmission
Language	English
Publishing date	2023-08-30
Publishing country	England
Document type	Review ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1483672-5
ISSN	1879-0844 ; 1388-9842
ISSN (online)	1879-0844
ISSN	1388-9842
DOI	10.1002/ejhf.2955
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Zs.A 5299: Show issues

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Article ; Online: Transitional care quality indicators to assess quality of care following hospitalisation for chronic obstructive pulmonary disease and heart failure: a systematic review protocol.

Michael, Faith / Whitelaw, Sera / Van Spall, Harriette Gc

BMJ open

2019 Volume 9, Issue 12, Page(s) e032764

Abstract: Introduction: The period following hospitalisation for chronic obstructive pulmonary disease (COPD) or heart failure (HF)-when patients transition between settings and clinicians-is one of high risk. Transitional care services that bridge the gap from ... ...

Abstract	Introduction: The period following hospitalisation for chronic obstructive pulmonary disease (COPD) or heart failure (HF)-when patients transition between settings and clinicians-is one of high risk. Transitional care services that bridge the gap from hospital to home can improve outcomes, but there are no widely accepted indicators to assess their quality. Methods and analysis: In this systematic review, we will summarise transitional care quality indicators, and describe their associations with clinical, patient-reported and cost outcomes. We will search MEDLINE, Embase, CINAHL and HealthSTAR, as well as grey literature and reference lists of included articles. We will screen all studies published between January 1990 and October 2019 that test an intervention that aims to improve the hospital-to-home transition for patients with COPD and/or HF; and measure at least one process (eg, medication errors), clinical (eg, hospital readmissions) or patient-reported (eg, health-related quality of life) outcome which will serve as a transitional care quality indicator . We will include randomised controlled trials, cohort studies, cross-sectional studies, interrupted time series studies and before-after studies. We will extract data in duplicate and classify transitional care quality indicators as structural, process-related or outcome-related. When possible, we will assess associations between transitional care quality indicators and clinical outcomes. In anticipation of conceptual and statistical heterogeneity, we will provide a qualitative synthesis and narrative review of the results. Ethics and dissemination: This review will provide a list of transitional care quality indicators and their associations with clinical outcomes. These results can be used by hospitals, administrators and clinicians for assessing the quality of transitional care provided to patients with COPD and HF. The findings can also be used by policy-makers to assess and incentivise transitional care quality. We will disseminate results through publications, social media releases and presentations. Prospero registration number: This study is registered on PROSPERO.
MeSH term(s)	Heart Failure/therapy ; Humans ; Patient Discharge ; Pulmonary Disease, Chronic Obstructive/therapy ; Quality Indicators, Health Care ; Research Design ; Systematic Reviews as Topic ; Transitional Care/standards
Language	English
Publishing date	2019-12-31
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2599832-8
ISSN	2044-6055 ; 2044-6055
ISSN (online)	2044-6055
ISSN	2044-6055
DOI	10.1136/bmjopen-2019-032764
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Article ; Online: Barriers and facilitators of the uptake of digital health technology in cardiovascular care: a systematic scoping review.

Whitelaw, Sera / Pellegrini, Danielle M / Mamas, Mamas A / Cowie, Martin / Van Spall, Harriette G C

European heart journal. Digital health

2021 Volume 2, Issue 1, Page(s) 62–74

Abstract: Digital health technology (DHT) has the potential to revolutionize healthcare delivery but its uptake has been low in clinical and research settings. The factors that contribute to the limited adoption of DHT, particularly in cardiovascular settings, are ...

Abstract	Digital health technology (DHT) has the potential to revolutionize healthcare delivery but its uptake has been low in clinical and research settings. The factors that contribute to the limited adoption of DHT, particularly in cardiovascular settings, are unclear. The objective of this review was to determine the barriers and facilitators of DHT uptake from the perspective of patients, clinicians, and researchers. We searched MEDLINE, EMBASE, and CINAHL databases for studies published from inception to May 2020 that reported barriers and/or facilitators of DHT adoption in cardiovascular care. We extracted data on study design, setting, cardiovascular condition, and type of DHT. We conducted a thematic analysis to identify barriers and facilitators of DHT uptake. The search identified 3075 unique studies, of which 29 studies met eligibility criteria. Studies employed: qualitative methods (
Language	English
Publishing date	2021-02-04
Publishing country	England
Document type	Journal Article ; Review
ISSN	2634-3916
ISSN (online)	2634-3916
DOI	10.1093/ehjdh/ztab005
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Article ; Online: Applications of digital technology in COVID-19 pandemic planning and response.

Whitelaw, Sera / Mamas, Mamas A / Topol, Eric / Van Spall, Harriette G C

The Lancet. Digital health

2020 Volume 2, Issue 8, Page(s) e435–e440

Abstract: With high transmissibility and no effective vaccine or therapy, COVID-19 is now a global pandemic. Government-coordinated efforts across the globe have focused on containment and mitigation, with varying degrees of success. Countries that have maintained ...

Abstract	With high transmissibility and no effective vaccine or therapy, COVID-19 is now a global pandemic. Government-coordinated efforts across the globe have focused on containment and mitigation, with varying degrees of success. Countries that have maintained low COVID-19 per-capita mortality rates appear to share strategies that include early surveillance, testing, contact tracing, and strict quarantine. The scale of coordination and data management required for effective implementation of these strategies has-in most successful countries-relied on adopting digital technology and integrating it into policy and health care. This Viewpoint provides a framework for the application of digital technologies in pandemic management and response, highlighting ways in which successful countries have adopted these technologies for pandemic planning, surveillance, testing, contact tracing, quarantine, and health care.
MeSH term(s)	COVID-19 ; Contact Tracing ; Digital Technology ; Disease Management ; Humans ; Pandemics/prevention & control ; Quarantine ; Risk Factors ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-06-29
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ISSN	2589-7500
ISSN (online)	2589-7500
DOI	10.1016/S2589-7500(20)30142-4
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