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

Author

Liegl, Gregor, H. Fischer, Felix, N. Martin, Carl, Rönnefarth, Maria, Blumrich, Annelie, Ahmadi, Michael, Boldt, Leif-Hendrik, Eckardt, Kai-Uwe, Endres, Matthias, Edelmann, Frank, Gerhardt, Holger, Grittner, Ulrike, Haghikia, Arash, Hübner, Norbert, Landmesser, Ulf, Leistner, David, Mai, Knut, Kollmus-Heege, Jil, N. Müller, Dominik, H. Nolte, Christian, K. Piper, Sophie, M. Schmidt-Ott, Kai, Pischon, Tobias, Rattan, Simrit, Rohrpasser-Napierkowski, Ira, Schönrath, Katharina, Schulz-Menger, Jeanette, Schweizerhof, Oliver, Spranger, Joachim, E. Weber, Joachim, Witzenrath, Martin, Schmidt, Sein, and Rose, Matthias

Published
2024
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5. The CONVINCE randomized trial found positive effects on quality of life for patients with chronic kidney disease treated with hemodiafiltration

Author

Rose, Matthias, Fischer, Felix H., Liegl, Gregor, Strippoli, Giovanni F.M., Hockham, Carina, Vernooij, Robin W.M., Barth, Claudia, Canaud, Bernard, Covic, Adrian, Cromm, Krister, Cucui, Andrea M., Davenport, Andrew, Fischer, Kathrin I., Hegbrant, Jörgen, Jaha, Hanna, Schappert, Anna, Török, Marietta, Woodward, Mark, Bots, Michiel L., and Blankestijn, Peter J.

Published
2024
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18. Towards Standardized Assessment of Outcomes in Back Pain—Validation of Linking Studies Between Disease-Specific and Generic Patient-Reported Outcome Measures.

Author

Hartmann, Claudia, Liegl, Gregor, Rose, Matthias, and Fischer, Felix

Subjects
*STANDARD deviations, *LUMBAR pain, *REGRESSION analysis, *SPINAL surgery, *CLINICAL medicine
Abstract

Background: Comparing outcomes across different health measurement tools is essential where various patient-reported outcome measures (PROMs) are used. In spinal surgery, where recent studies show that over 30 different PROMs are applied, this need becomes even more pressing. Although several statistical transformations between the Oswestry Disability Index (ODI) and the PROMIS Profile 29 have been proposed, validation studies on conversion equations and cross-walk tables remain limited. In this study, we examined the agreement between observed ODI scores and those predicted from the PROMIS Profile 29 in a large sample of patients with low back pain, collected from routine clinical care. Methods: We compared the performance of regression and linking models at both the individual and group levels. Using Bland–Altman plots, we assessed the mean difference, 95% limits of agreement, root mean squared error (RMSE), and standardized mean differences (Cohen's d) between predicted and observed ODI scores. Results: While group-level agreement was satisfactory, with negligible effect sizes, individual prediction accuracy was relatively poor. Additionally, regression models showed inconsistent performance across the ODI score range, though incorporating more domains marginally improved predictions. Conclusions: The equipercentile linking approach demonstrated stable agreement across all ODI scores, making it the preferred method. Future regression models should account for nonlinear relationships between PROMs to enhance prediction accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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23. #2528 Comparing patient-reported and performance-based physical function assessments in hemodialysis: insights from the CONVINCE trial

Author

Liegl, Gregor, primary, Fischer, Felix, additional, Canaud, Bernard, additional, Woodward, Mark, additional, Barth, Claudia, additional, Davenport, Andrew, additional, Strippoli, Giovanni, additional, Hegbrant, Jörgen, additional, Cromm, Krister, additional, Blankestijn, Peter J, additional, Fischer, Kathrin I, additional, and Rose, Matthias, additional

Published
2024
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25. Converting PROMIS®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders.

Author

Liegl, Gregor, H. Fischer, Felix, N. Martin, Carl, Rönnefarth, Maria, Blumrich, Annelie, Ahmadi, Michael, Boldt, Leif-Hendrik, Eckardt, Kai-Uwe, Endres, Matthias, Edelmann, Frank, Gerhardt, Holger, Grittner, Ulrike, Haghikia, Arash, Hübner, Norbert, Landmesser, Ulf, Leistner, David, Mai, Knut, Kollmus-Heege, Jil, N. Müller, Dominik, and H. Nolte, Christian

Subjects
*QUALITY of life, *REGRESSION analysis, *CARDIOVASCULAR diseases, *TEST validity, *HEALTH surveys
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 (PCSc and MCSc) 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, PCSc, and MCSc (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 (MCSc) 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. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Physical performance tasks were linked to the PROMIS physical function metric in patients undergoing hemodialysis

Author

Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Nefro Vasculaire Geneeskunde, Liegl, Gregor, Fischer, Felix H, Woodward, Mark, Török, Marietta, Strippoli, Giovanni F M, Hegbrant, Jörgen, Davenport, Andrew, Cromm, Krister, Canaud, Bernard, Bots, Michiel L, Blankestijn, Peter J, Barth, Claudia, Fischer, Kathrin I, Rose, Matthias, Cardiovasculaire Epi Team 5, Cardiovasculaire Epidemiologie, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Nefro Vasculaire Geneeskunde, Liegl, Gregor, Fischer, Felix H, Woodward, Mark, Török, Marietta, Strippoli, Giovanni F M, Hegbrant, Jörgen, Davenport, Andrew, Cromm, Krister, Canaud, Bernard, Bots, Michiel L, Blankestijn, Peter J, Barth, Claudia, Fischer, Kathrin I, and Rose, Matthias

Published
2023

36. The European Organisation for Research and Treatment of Cancer Quality of Life Utility-Core 10 Dimensions: Development and Investigation of General Population Utility Norms for Canada, France, Germany, Italy, Poland, and the United Kingdom

Author

Pilz, Micha Johannes, primary, Nolte, Sandra, additional, Liegl, Gregor, additional, King, Madeleine, additional, Norman, Richard, additional, McTaggart-Cowan, Helen, additional, Bottomley, Andrew, additional, Rose, Matthias, additional, Kemmler, Georg, additional, Holzner, Bernhard, additional, and Gamper, Eva Maria, additional

Published
2022
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43. Additional file 2 of General Spanish population normative data analysis for the EORTC QLQ-C30 by sex, age, and health condition

Author

Arraras, Juan Ignacio, Nolte, Sandra, Liegl, Gregor, Rose, Matthias, Manterola, Ana, Illarramendi, Jose Juan, Zarandona, Uxue, Rico, Mikel, Teiejria, Lucia, Asin, Gemma, Hernandez, Irene, Barrado, Marta, Vera, Ruth, Efficace, Fabio, and Giesinger, Johannes M.

Abstract

Additional file 2: Supplementary Table S2. Participants’ demographic characteristics by age group.

Published
2021
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44. Additional file 1 of General Spanish population normative data analysis for the EORTC QLQ-C30 by sex, age, and health condition

Author

Arraras, Juan Ignacio, Nolte, Sandra, Liegl, Gregor, Rose, Matthias, Manterola, Ana, Illarramendi, Jose Juan, Zarandona, Uxue, Rico, Mikel, Teiejria, Lucia, Asin, Gemma, Hernandez, Irene, Barrado, Marta, Vera, Ruth, Efficace, Fabio, and Giesinger, Johannes M.

Abstract

Additional file 1: Supplementary Table S1. Regression models for the EORTC QLQ-C30 values in the general population of Spain.

Published
2021
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45. A Modified Version of the Transactional Stress Concept According to Lazarus and Folkman Was Confirmed in a Psychosomatic Inpatient Sample

Author

Obbarius, Nina, Fischer, Felix, Liegl, Gregor, Obbarius, Alexander, and Rose, Matthias

Subjects
transactional model, stress, depression, structural equation model, Psychology, Lazarus, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit, Original Research
Abstract

Background: Stress is a major risk factor for the impairment of psychological well-being. The present study aimed to evaluate the empirical evidence of the Transactional Stress Model proposed by Lazarus and Folkman in patients with psychosomatic health conditions. Methods: A structural equation model was applied in two separate subsamples of inpatients from the Department of Psychosomatic Medicine (total n = 2,216) for consecutive model building (sample 1, n = 1,129) and confirmatory analyses (sample 2, n = 1,087) using self-reported health status information about perceived stress, personal resources, coping mechanisms, stress response, and psychological well-being. Results: The initial model was created to reflect the theoretical assumptions by Lazarus and Folkman about their transactional stress concept. This model was modified until a sufficient model fit was reached (sample 1: CFI = 0.904, TLI = 0.898, RMSEA = 0.072 [0.071-0.074], SRMR = 0.061). The modified model was confirmed in a second sample (sample 2: CFI = 0.932, TLI = 0.928, RMSEA = 0.066 [0.065-0.068], SRMR = 0.052). Perceived external stressors and personal resources explained 91% of the variance of the stress response, which was closely related to symptoms of depression (63% variance explained). The attenuating effect of resources on stress response was higher (standardized beta = -0.73, p < 0.001) than the impact of perceived stressors on stress response (standardized beta = 0.34, p < 0.001). Conclusion: The empirical data largely confirmed the theoretical assumption of the Transactional Stress Model, which was first presented by Lazarus and Folkman, in patients with a wide range of psychosomatic conditions. However, data analyses were solely based on self-reported health status. Thus, proposed inner psychological mechanisms such as the appraisal process could not be included in this empirical validation. The operationalization and understanding of coping processes should be further improved.

Published
2021
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46. A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment

Author

Obbarius, Alexander, Fischer, Felix, Liegl, Gregor, Obbarius, Nina, van Bebber, Jan, Hofmann, Tobias, and Rose, Matthias

Subjects
phenotyping, patient-reported outcomes, latent class analysis, multimodal treatment, Journal of Pain Research, chronic pain, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit, Original Research
Abstract

Alexander Obbarius,1 Felix Fischer,1 Gregor Liegl,1 Nina Obbarius,1 Jan van Bebber,1 Tobias Hofmann,1 Matthias Rose1,2 1Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Berlin, Germany; 2Quantitative Health Sciences, Outcomes Measurement Science, University of Massachusetts Medical School, Worcester, MA, USACorrespondence: Alexander ObbariusDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, GermanyTel +4930450653890Email alexander.obbarius@charite.dePurpose: The number of non-responders to treatment among patients with chronic pain (CP) is high, although intensive multimodal treatment is broadly accessible. One reason is the large variability in manifestations of CP. To facilitate the development of tailored treatment approaches, phenotypes of CP must be identified. In this study, we aim to identify subgroups in patients with CP based on several aspects of self-reported health.Patients and Methods: A latent class analysis (LCA) was carried out in retrospective data from 411 patients with CP of different origins. All patients experienced severe physical and psychosocial consequences and were therefore undergoing multimodal inpatient pain treatment. Self-reported measures of pain (visual analogue scales for pain intensity, frequency, and impairment; Pain Perception Scale), emotional distress (Patient Health Questionnaire, PHQ-9; Generalized Anxiety Disorder Scale, GAD-7) and physical health (Short Form Health Survey; SF-8) were collected immediately after admission and before discharge. Instruments assessed at admission were used as input to the LCA. Resulting classes were compared in terms of patient characteristics and treatment outcome.Results: A model with four latent classes demonstrated the best model fit and interpretability. Classes 1 to 4 included patients with high (54.7%), extreme (17.0%), moderate (15.6%), and low (12.7%) pain burden, respectively. Patients in class 4 showed high levels of emotional distress, whereas emotional distress in the other classes corresponded to the levels of pain burden. While pain as well as physical and mental health improved in class 1, only the levels of depression and anxiety improved in patients in the other groups during multimodal treatment.Conclusion: The specific needs of these subgroups should be taken into account when developing individualized treatment programs. However, the retrospective design limits the significance of the results and replication in prospective studies is desirable.Keywords: chronic pain, phenotyping, patient-reported outcomes, latent class analysis, multimodal treatment

Published
2020

47. Spanish General Population Normative Data Analysis for the EORTC QLQ-C30 and Relationships Between Sex, Age, and Health Conditions

Author

Arraras, Juan Ignacio, primary, Nolte, Sandra, additional, Liegl, Gregor, additional, Rose, Matthias, additional, Manterola, Ana, additional, Illarramendi, Jose Juan, additional, Uxue, Zarandona, additional, Rico, Mikel, additional, Teiejria, Lucia, additional, Asin, Gemma, additional, Hernandez, Irene, additional, Barrado, Marta, additional, Vera, Ruth, additional, Efficace, Fabio, additional, and Giesinger, Johannes M., additional

Published
2021
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50. A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment

Author

Obbarius,Alexander, Fischer,Felix, Liegl,Gregor, Obbarius,Nina, van Bebber,Jan, Hofmann,Tobias, Rose,Matthias, Obbarius,Alexander, Fischer,Felix, Liegl,Gregor, Obbarius,Nina, van Bebber,Jan, Hofmann,Tobias, and Rose,Matthias

Abstract

Alexander Obbarius,1 Felix Fischer,1 Gregor Liegl,1 Nina Obbarius,1 Jan van Bebber,1 Tobias Hofmann,1 Matthias Rose1,2 1Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Berlin, Germany; 2Quantitative Health Sciences, Outcomes Measurement Science, University of Massachusetts Medical School, Worcester, MA, USACorrespondence: Alexander ObbariusDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, GermanyTel +4930450653890Email alexander.obbarius@charite.dePurpose: The number of non-responders to treatment among patients with chronic pain (CP) is high, although intensive multimodal treatment is broadly accessible. One reason is the large variability in manifestations of CP. To facilitate the development of tailored treatment approaches, phenotypes of CP must be identified. In this study, we aim to identify subgroups in patients with CP based on several aspects of self-reported health.Patients and Methods: A latent class analysis (LCA) was carried out in retrospective data from 411 patients with CP of different origins. All patients experienced severe physical and psychosocial consequences and were therefore undergoing multimodal inpatient pain treatment. Self-reported measures of pain (visual analogue scales for pain intensity, frequency, and impairment; Pain Perception Scale), emotional distress (Patient Health Questionnaire, PHQ-9; Generalized Anxiety Disorder Scale, GAD-7) and physical health (Short Form Health Survey; SF-8) were collected immediately after admission and before discharge. Instruments assessed at admission were used as input to the LCA. Resulting classes were compared in terms of patient characteristics and treatment outcome.Results: A model with four latent classes demonstrated the best model fit and interpretabi

Published
2020

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