Hemang Yadav , Mehrdad Hefazi Torghabeh , Sumedh S Hoskote , Kelly M Pennington , Kaiser G Lim , Paul D Scanlon , Alexander S Niven , William J Hogan
{"title":"Adjusting diffusing capacity for anemia in patients undergoing allogeneic HCT: a comparison of two methodologies","authors":"Hemang Yadav , Mehrdad Hefazi Torghabeh , Sumedh S Hoskote , Kelly M Pennington , Kaiser G Lim , Paul D Scanlon , Alexander S Niven , William J Hogan","doi":"10.1016/j.retram.2023.103432","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Diffusing capacity<span> (DLCO) measurements are affected by hemoglobin. Two adjustment equations are used: Cotes (recommended by ATS/ERS) and Dinakara (used in the hematopoietic stem cell transplantation comorbidity index [HCT-CI]). It is unknown how these methods compare, and which is better from a prognostication standpoint.</span></p></div><div><h3>Study design</h3><p>This is a retrospective cohort of 1273 adult patients who underwent allogeneic HCT<span>, completed a pre-transplant DLCO and had a concurrent hemoglobin measurement. Non-relapse mortality was measured using competing risk analysis.</span></p></div><div><h3>Results</h3><p><span>Patients had normal spirometry (FEV</span><sub>1</sub><span><span> 99.7% [IQR: 89.4–109.8%; FVC 100.1% [IQR: 91.0-109.6%] predicted), left ventricular ejection fraction (57.2[6.7]%) and right ventricular </span>systolic pressure (30.1[7.0] mmHg). Cotes-DLCO was 85.6% (IQR: 76.5-95.7%) and Dinakara-DLCO was 103.6% (IQR: 90.7-117.2%) predicted. For anemic patients (Hb<10g/dL), Cotes-DLCO was 84.2% (IQR: 73.9–94.1%) while Dinakara-DLCO 111.0% (97.3–124.7%) predicted. Cotes-DLCO increased HCT-CI score for 323 (25.4%) and decreased for 4 (0.3%) patients. Cotes-DLCO was superior for predicting non-relapse mortality: for both mild (66-80% predicted, HR 1.55 [95%CI: 1.26-1.92, p < 0.001]) and moderate (<65% predicted, HR 2.11 [95%CI: 1.55-2.87, p<0.001]) impairment. In contrast, for Dinakara-DLCO, only mild impairment (HR 1.69 [95%CI 1.26-2.27, p < 0.001]) was associated with lower survival while moderate impairment was not (HR 1.44 [95%CI: 0.64-3.21, p = 0.4]). In multivariable analyses, after adjusting for demographics, hematologic variables, cardiac function and FEV</span><sub>1</sub>, Cotes-DLCO was predictive of overall survival at 1-year (OR 0.98 [95%CI: 0.97-1.00], p = 0.01), but Dinakara-DLCO was not (OR 1.00 [95%CI: 0.98-1.00], p = 0.20).</p></div><div><h3>Conclusion</h3><p>The ERS/ATS recommended Cotes method likely underestimates DLCO in patients with anemia, whereas the Dinakara (used in the HCT-CI score) overestimates DLCO. The Cotes method is superior to the Dinakara method score in predicting overall survival and relapse-free survival in patients undergoing allogeneic HCT.</p></div>","PeriodicalId":54260,"journal":{"name":"Current Research in Translational Medicine","volume":"72 2","pages":"Article 103432"},"PeriodicalIF":3.2000,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Research in Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452318623000569","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Diffusing capacity (DLCO) measurements are affected by hemoglobin. Two adjustment equations are used: Cotes (recommended by ATS/ERS) and Dinakara (used in the hematopoietic stem cell transplantation comorbidity index [HCT-CI]). It is unknown how these methods compare, and which is better from a prognostication standpoint.
Study design
This is a retrospective cohort of 1273 adult patients who underwent allogeneic HCT, completed a pre-transplant DLCO and had a concurrent hemoglobin measurement. Non-relapse mortality was measured using competing risk analysis.
Results
Patients had normal spirometry (FEV1 99.7% [IQR: 89.4–109.8%; FVC 100.1% [IQR: 91.0-109.6%] predicted), left ventricular ejection fraction (57.2[6.7]%) and right ventricular systolic pressure (30.1[7.0] mmHg). Cotes-DLCO was 85.6% (IQR: 76.5-95.7%) and Dinakara-DLCO was 103.6% (IQR: 90.7-117.2%) predicted. For anemic patients (Hb<10g/dL), Cotes-DLCO was 84.2% (IQR: 73.9–94.1%) while Dinakara-DLCO 111.0% (97.3–124.7%) predicted. Cotes-DLCO increased HCT-CI score for 323 (25.4%) and decreased for 4 (0.3%) patients. Cotes-DLCO was superior for predicting non-relapse mortality: for both mild (66-80% predicted, HR 1.55 [95%CI: 1.26-1.92, p < 0.001]) and moderate (<65% predicted, HR 2.11 [95%CI: 1.55-2.87, p<0.001]) impairment. In contrast, for Dinakara-DLCO, only mild impairment (HR 1.69 [95%CI 1.26-2.27, p < 0.001]) was associated with lower survival while moderate impairment was not (HR 1.44 [95%CI: 0.64-3.21, p = 0.4]). In multivariable analyses, after adjusting for demographics, hematologic variables, cardiac function and FEV1, Cotes-DLCO was predictive of overall survival at 1-year (OR 0.98 [95%CI: 0.97-1.00], p = 0.01), but Dinakara-DLCO was not (OR 1.00 [95%CI: 0.98-1.00], p = 0.20).
Conclusion
The ERS/ATS recommended Cotes method likely underestimates DLCO in patients with anemia, whereas the Dinakara (used in the HCT-CI score) overestimates DLCO. The Cotes method is superior to the Dinakara method score in predicting overall survival and relapse-free survival in patients undergoing allogeneic HCT.
期刊介绍:
Current Research in Translational Medicine is a peer-reviewed journal, publishing worldwide clinical and basic research in the field of hematology, immunology, infectiology, hematopoietic cell transplantation, and cellular and gene therapy. The journal considers for publication English-language editorials, original articles, reviews, and short reports including case-reports. Contributions are intended to draw attention to experimental medicine and translational research. Current Research in Translational Medicine periodically publishes thematic issues and is indexed in all major international databases (2017 Impact Factor is 1.9).
Core areas covered in Current Research in Translational Medicine are:
Hematology,
Immunology,
Infectiology,
Hematopoietic,
Cell Transplantation,
Cellular and Gene Therapy.