. 2024 Aug 15;22(1):64.

doi: 10.1186/s12955-024-02277-4.

Converting PROMIS^®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

Gregor Liegl¹, Felix H Fischer², Carl N Martin^{3

4

5}, Maria Rönnefarth³, Annelie Blumrich³, Michael Ahmadi^{3

6

7}, Leif-Hendrik Boldt^{8

9

10}, Kai-Uwe Eckardt^{6

11}, Matthias Endres^{6

7

9

12

13}, Frank Edelmann^{3

8

9}, Holger Gerhardt^{3

9

14}, Ulrike Grittner^{3

15}, Arash Haghikia^{3

9

10}, Norbert Hübner^{3

9

16

17}, Ulf Landmesser^{3

9

10}, David Leistner^{18

19

20}, Knut Mai^{9

21

22

23}, Jil Kollmus-Heege^{3

15}, Dominik N Müller^{3

9

14

17

24}, Christian H Nolte^{3

6

7

9}, Sophie K Piper^{3

15

25}, Kai M Schmidt-Ott^{3

11

16

26}, Tobias Pischon^{3

9

17

27

28}, Simrit Rattan^{3

15}, Ira Rohrpasser-Napierkowski³, Katharina Schönrath³, Jeanette Schulz-Menger^{9

16}, Oliver Schweizerhof^{3

15}, Joachim Spranger^{3

9

18

21

23}, Joachim E Weber^{3

6

7

9}, Martin Witzenrath^{29

30}, Sein Schmidt^#^{3

6

7}, Matthias Rose^#²

Affiliations

¹ Department of Psychosomatic Medicine, Center for Patient-Centered Outcomes Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. gregor.liegl@charite.de.
² Department of Psychosomatic Medicine, Center for Patient-Centered Outcomes Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
³ Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
⁴ Clinic for Psychosomatic Medicine and Psychotherapy, University of Duisburg-Essen, LVR-University Hospital Essen, Essen, Germany.
⁵ Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany.
⁶ Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁷ Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁸ Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁹ German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany.
¹⁰ Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany.
¹¹ Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹² German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany.
¹³ Exellence Cluster NeuroCure, Berlin, Germany.
¹⁴ Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
¹⁵ Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁶ ECRC, Department of Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁷ Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁸ Department of Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁹ Department of Medicine, Cardiology, Goethe University Hospital, Frankfurt, Germany.
²⁰ German Center for Cardiovascular Research (DZHK) Partner Site RheinMain, Frankfurt, Germany.
²¹ Department of Endocrinology & Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
²² Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charité-Center for Cardiovascular Research (CCR), Berlin, Germany.
²³ German Center for Diabetes Research, München-Neuherberg, Germany.
²⁴ Experimental and Clinical Research Center (ECRC), a cooperation of Charité - Universitätsmedizin Berlin and Max Delbruck Center for Molecular Medicine (MDC), Berlin, Germany.
²⁵ Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
²⁶ Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany.
²⁷ Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
²⁸ Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany.
²⁹ Division of Pulmonary Inflammation, Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
³⁰ German Center for Lung Research (DZL), Giessen, Germany.

^# Contributed equally.

PMID: 39148105
PMCID: PMC11328444
DOI: 10.1186/s12955-024-02277-4

Converting PROMIS^®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

Gregor Liegl et al. Health Qual Life Outcomes. 2024.

. 2024 Aug 15;22(1):64.

doi: 10.1186/s12955-024-02277-4.

Authors

Affiliations

¹ Department of Psychosomatic Medicine, Center for Patient-Centered Outcomes Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. gregor.liegl@charite.de.
² Department of Psychosomatic Medicine, Center for Patient-Centered Outcomes Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
³ Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
⁴ Clinic for Psychosomatic Medicine and Psychotherapy, University of Duisburg-Essen, LVR-University Hospital Essen, Essen, Germany.
⁵ Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany.
⁶ Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁷ Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁸ Department of Internal Medicine and Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
⁹ German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany.
¹⁰ Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany.
¹¹ Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹² German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany.
¹³ Exellence Cluster NeuroCure, Berlin, Germany.
¹⁴ Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
¹⁵ Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁶ ECRC, Department of Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁷ Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁸ Department of Cardiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
¹⁹ Department of Medicine, Cardiology, Goethe University Hospital, Frankfurt, Germany.
²⁰ German Center for Cardiovascular Research (DZHK) Partner Site RheinMain, Frankfurt, Germany.
²¹ Department of Endocrinology & Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
²² Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charité-Center for Cardiovascular Research (CCR), Berlin, Germany.
²³ German Center for Diabetes Research, München-Neuherberg, Germany.
²⁴ Experimental and Clinical Research Center (ECRC), a cooperation of Charité - Universitätsmedizin Berlin and Max Delbruck Center for Molecular Medicine (MDC), Berlin, Germany.
²⁵ Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
²⁶ Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany.
²⁷ Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
²⁸ Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany.
²⁹ Division of Pulmonary Inflammation, Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
³⁰ German Center for Lung Research (DZL), Giessen, Germany.

^# Contributed equally.

PMID: 39148105
PMCID: PMC11328444
DOI: 10.1186/s12955-024-02277-4

Abstract

Background: Health-related quality of life (HRQL) has become an important outcome parameter in cardiology. The MOS 36-ltem Short-Form Health Survey (SF-36) and the PROMIS-29 are two widely used generic measures providing composite HRQL scores. The domains of the SF-36, a well-established instrument utilized for several decades, can be aggregated to physical (PCS) and mental (MCS) component summary scores. Alternative scoring algorithms for correlated component scores (PCS_c and MCS_c) have also been suggested. The PROMIS-29 is a newer but increasingly used HRQL measure. Analogous to the SF-36, physical and mental health summary scores can be derived from PROMIS-29 domain scores, based on a correlated factor solution. So far, scores from the PROMIS-29 are not directly comparable to SF-36 results, complicating the aggregation of research findings. Thus, our aim was to provide algorithms to convert PROMIS-29 data to well-established SF-36 component summary scores.

Methods: Data from n = 662 participants of the Berlin Long-term Observation of Vascular Events (BeLOVE) study were used to estimate linear regression models with either PROMIS-29 domain scores or aggregated PROMIS-29 physical/mental health summary scores as predictors and SF-36 physical/mental component summary scores as outcomes. Data from a subsequent assessment point (n = 259) were used to evaluate the agreement between empirical and predicted SF-36 scores.

Results: PROMIS-29 domain scores as well as PROMIS-29 health summary scores showed high predictive value for PCS, PCS_c, and MCS_c (R² ≥ 70%), and moderate predictive value for MCS (R² = 57% and R² = 40%, respectively). After applying the regression coefficients to new data, empirical and predicted SF-36 component summary scores were highly correlated (r > 0.8) for most models. Mean differences between empirical and predicted scores were negligible (|SMD|<0.1).

Conclusions: This study provides easy-to-apply algorithms to convert PROMIS-29 data to well-established SF-36 physical and mental component summary scores in a cardiovascular population. Applied to new data, the agreement between empirical and predicted SF-36 scores was high. However, for SF-36 mental component summary scores, considerably better predictions were found under the correlated (MCS_c) than under the original factor model (MCS). Additionally, as a pertinent byproduct, our study confirmed construct validity of the relatively new PROMIS-29 health summary scores in cardiology patients.

Keywords: Cardiovascular diseases; Health composite scores; Health-related quality of life; Mapping; Outcome measures; PROMIS-29; Patient-reported outcomes; SF-36.

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Conflict of interest statement

Frank Edelmann (FE) reports grants from German Research Foundation (DFG), grants from German Ministry of Education and Research, grants from the German Herta Foundation; during the conduct of the study; personal fees and non-financial support from Novartis, grants and personal fees from Boehringer Ingelheim, personal fees from CVRx, Pfizer, Medtronic, grants and personal fees from Servier, personal fees from MSD, personal fees from Merck & Co., grants from AstraZeneca, personal fees from Bayer, personal fees from Resmed, personal fees from Berlin Chemie, grants from Thermo Fischer, personal fees from Vifor Pharma, personal fees from PharmaCosmos outside the submitted work.Matthias Endres (ME) reports grants from Bayer and fees paid to the Charité from Abbot, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, BMS, Daiichi Sankyo, Amgen, Sanofi, , Novartis, Pfizer, all outside the submitted work. ME received funding from DFG under Germany´s Excellence Strategy – EXC-2049 – 390688087, Collaborative Research Center ReTune TRR 295- 424778381, BMBF, DZNE, DZHK, EU, Corona Foundation, and Fondation Leducq.Holger Gerhardt (HG) reports grants from the DFG, the Leducq Foundation, the BMBF and the German Center for Cardiovascular Research (DZHK) during the conduct of the study, outside of the submitted work.Ulf Landmesser (UL) reports research funding from German Cardiovascular Research Network (DZHK); Fondation Leducq; research grants from Novartis, Bayer and AmgenKnut Mai (KM) declares that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.Gregor Liegl (GL), received funding for research from the German Research Foundation (DFG).Dominik N. Müller (DNM) received funding for research from Bayer Healthcare, Deutsche Forschungsgemeinschaft and from BMBF.Christian H Nolte (CHN) received research grants from German Ministry of Research and Education, German Center for neurodegenerative Diseases (DZNE), German Center for cardiovascular Research (DZHK), and speaker and/or consultation fees from Boehringer Ingelheim, Bristol-Myers Squibb, Pfizer Pharma, Abbott, Novartis, Daichii-Sankyo and Alexion all outside the submitted work.Tobias Pischon (TP) received grants from the Federal Ministry of Education and Research (BMBF), the Federal Ministry of Food and Agriculture (BMEL), the Federal Ministry for Economic Affairs and Energy (BMWi), the Deutsche Forschungsgemeinschaft (DFG), Deutsche Herzstiftung, German Academic Exchange Service (DAAD).Kai M. Schmidt-Ott (KMSO) reports receiving research funding from Deutsche Forschungsgemeinschaft (CRC 1365, GRK 2318, RU 2841), Urological Research Foundation Berlin, ERA PerMed (OnAKI-ICI), COVID-19-Forschungsnetzwerk Niedersachsen (EXTINCT post COVID), Niedersächsisches Ministerium für Wissenschaft und Kultur (zukunft.Niedersachsen), FAST BioMedical, Quark Pharmaceuticals, REATA, Boehringer Ingelheim, AstraZeneca, Sanofi, Alentis, Roche, and Alexion; having received consultancy fees from BioPorto Diagnostics and Abionyx; having participated in advisory boards with Bayer, Stadapharm, and Boehringer Ingelheim; having received license revenue related to the use of a neutrophil gelatinase- associated lipocalin assay via Columbia University; and being an editorial board member of Kidney International and Kidney International Reports; each outside the submitted work.Jeanette Schulz-Menger (JSM) reports grants from Bayer Healthcare, non-financial support from Siemens healthineers, non-financial support from Circle cardiovascular, non-financial support from Medis, outside the submitted work, and Bayer Healthcare, Advisor. Furthermore, funding for research from the EU, DZHK, Deutsche Herzstiftung.Jochen Spranger (JS) received funding for research from Deutsche Forschungsgemeinschaft and from BMBF.Martin Witzenrath (MW) received funding for research from Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Deutsche Gesellschaft für Pneumologie, European Respiratory Society, Marie Curie Foundation, Else Kröner Fresenius Foundation, Capnetz Foundation, International Max Planck Research School, Actelion, Bayer Health Care, Biotest, Boehringer Ingelheim, Noxxon, Pantherna, Quark Pharma, Vaxxilon, and for lectures and advisory from Actelion, Aptarion, Astra Zeneca, Bayer Health Care, Berlin Chemie, Biotest, Boehringer Ingelheim, Chiesi, Glaxo Smith Kline, Novartis, Noxxon, Pantherna, Teva und Vaxxilon.All remaining authors do not report potential conflicts of interest.

Figures

**Fig. 1**
Scatter plots showing the associations between predicted (x-axis) and observed (y-axis) SF-36 component summary scores (uncorrelated model)

**Fig. 2**
Scatter plots of the validation data showing the associations between predicted (x-axis) and observed (y-axis) SF-36 component summary scores (correlated model)

See this image and copyright information in PMC

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References

1. Angelis A, Lange A, Kanavos P. Using health technology assessment to assess the value of new medicines: results of a systematic review and expert consultation across eight European countries. Eur J Health Econ. 2018;19(1):123–52. 10.1007/s10198-017-0871-0 - DOI - PMC - PubMed
1. Burns DJP, Arora J, Okunade O, Beltrame JF, Bernardez-Pereira S, Crespo-Leiro MG, et al. International Consortium for Health Outcomes Measurement (ICHOM): standardized patient-centered outcomes measurement set for heart failure patients. JACC Heart Fail. 2020;8(3):212–22. 10.1016/j.jchf.2019.09.007 - DOI - PMC - PubMed
1. Hahn EA, Walsh MN, Allen LA, Lee CS, Denfeld QE, Teuteberg JJ, et al. Validity of patient-reported outcomes Measurement Information System Physical, Mental, and Social Health measures after Left Ventricular assist device implantation and implications for patient care. Circ Cardiovasc Qual Outcomes. 2023;16(2):e008690. 10.1161/CIRCOUTCOMES.121.008690 - DOI - PMC - PubMed
1. Marquis P, Caron M, Emery M-P, Scott JA, Arnould B, Acquadro C. The role of Health-Related Quality of Life Data in the drug approval processes in the US and Europe. Pharm Med. 2011;25(3):147–60.10.1007/BF03256856 - DOI
1. Kornowski R. Patient-reported outcome measures in cardiovascular disease. Eur Heart J - Qual Care Clin Outcomes. 2021. - PubMed

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Converting PROMIS^®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

Affiliations

Converting PROMIS^®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders

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Abstract

Conflict of interest statement

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