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Hevessy Z, Toth G, Antal-Szalmas P, Tokes-Fuzesi M, Kappelmayer J, Karai B, Ajzner E. Algorithm of differential diagnosis of anemia involving laboratory medicine specialists to advance diagnostic excellence. Clin Chem Lab Med 2024; 62:410-420. [PMID: 37823455 DOI: 10.1515/cclm-2023-0807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/03/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVES Anemia is a severe global public health issue. Testing practices for anemia suggest overuse of screening laboratory tests and misinterpretation of studies even in "easy-to-diagnose" underlying causes, leading to late diagnoses and missed treatment opportunities. We aimed to develop a complete and efficient algorithm for clinical pathologists and laboratory medicine physicians for the differential diagnosis of anemia. METHODS Comprehensive literature search encompassing original articles, studies, reviews, gold standard books, and other evidence. RESULTS We created a complex algorithm, primarily for clinical pathology/laboratory use, that explores all major and several rare causes of anemia in an efficient and evidence-based manner. The algorithm includes gold-standard diagnostic laboratory tests available in most clinical laboratories and indices that can be easily calculated to provide an evidence-based differential diagnosis of anemia. CONCLUSIONS The diagnostic strategy combines previously available diagnostic tests and protocols in an efficient order. Clinical pathologists following the algorithm can independently provide valuable diagnostic support for healthcare providers. Clinical pathologists providing complete differential diagnostic services with the proposed algorithm may create an opportunity for an advanced diagnostic service that supports diagnostic excellence and helps patients receive a timely diagnosis and early treatment opportunities.
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Affiliation(s)
- Zsuzsanna Hevessy
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Gabor Toth
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Peter Antal-Szalmas
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Margit Tokes-Fuzesi
- Department of Laboratory Medicine, University of Pecs, Medical School, Pecs, Hungary
| | - Janos Kappelmayer
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Bettina Karai
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Eva Ajzner
- Central Laboratory of Szabolcs-Szatmar-Bereg County Teaching Hospital, Nyiregyhaza, Hungary
- Hematology Unit of South-Pest Central Hospital and National Institute of Hematology and Infectology, Budapest, Hungary
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2
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Guevara NA, Perez E, Sanchez J, Rosado F, Sequeira Gross HG, Fulger I. A Case Report of Cold Agglutinin Disease, Severe B12 Deficiency, and Pernicious Anemia: A Deadly Coincidence. Cureus 2023; 15:e38208. [PMID: 37252560 PMCID: PMC10224745 DOI: 10.7759/cureus.38208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/27/2023] [Indexed: 05/31/2023] Open
Abstract
Anemia is the most common hematological disorder. It is commonly a manifestation of an underlying disease. Its causes are multifactorial, including but not limited to nutritional deficiencies, chronic conditions, inflammatory processes, medications, malignancy, renal dysfunction, hereditary diseases, and bone marrow disorders. We present a case of a patient exhibiting anemia related to cold agglutin disease and severe B12 deficiency secondary to pernicious anemia.
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Affiliation(s)
| | - Esmirna Perez
- Internal Medicine, St. Barnabas Hospital Health System, Bronx, USA
| | - Jorge Sanchez
- Internal Medicine, St. Barnabas Hospital Health System, Bronx, USA
| | - Flor Rosado
- Internal Medicine, St. Barnabas Hospital Health System, Bronx, USA
| | | | - Ilmana Fulger
- Internal Medicine, Department of Hematology-Oncology, St. Barnabas Hospital Health System, Bronx, USA
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Read AJ, Zhou W, Saini SD, Zhu J, Waljee AK. Prediction of Gastrointestinal Tract Cancers Using Longitudinal Electronic Health Record Data. Cancers (Basel) 2023; 15:cancers15051399. [PMID: 36900192 PMCID: PMC10000707 DOI: 10.3390/cancers15051399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Luminal gastrointestinal (GI) tract cancers, including esophageal, gastric, small bowel, colorectal, and anal cancers, are often diagnosed at late stages. These tumors can cause gradual GI bleeding, which may be unrecognized but detectable by subtle laboratory changes. Our aim was to develop models to predict luminal GI tract cancers using laboratory studies and patient characteristics using logistic regression and random forest machine learning methods. METHODS The study was a single-center, retrospective cohort at an academic medical center, with enrollment between 2004-2013 and with follow-up until 2018, who had at least two complete blood counts (CBCs). The primary outcome was the diagnosis of GI tract cancer. Prediction models were developed using multivariable single timepoint logistic regression, longitudinal logistic regression, and random forest machine learning. RESULTS The cohort included 148,158 individuals, with 1025 GI tract cancers. For 3-year prediction of GI tract cancers, the longitudinal random forest model performed the best, with an area under the receiver operator curve (AuROC) of 0.750 (95% CI 0.729-0.771) and Brier score of 0.116, compared to the longitudinal logistic regression model, with an AuROC of 0.735 (95% CI 0.713-0.757) and Brier score of 0.205. CONCLUSIONS Prediction models incorporating longitudinal features of the CBC outperformed the single timepoint logistic regression models at 3-years, with a trend toward improved accuracy of prediction using a random forest machine learning model compared to a longitudinal logistic regression model.
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Affiliation(s)
- Andrew J. Read
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109, USA
- Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (A.J.R.); (W.Z.); Tel.: +1-(734)-936-4785 (A.J.R.); Fax: +1-(734)-936-5458 (A.J.R.)
| | - Wenjing Zhou
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (A.J.R.); (W.Z.); Tel.: +1-(734)-936-4785 (A.J.R.); Fax: +1-(734)-936-5458 (A.J.R.)
| | - Sameer D. Saini
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109, USA
- Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI 48109, USA
- VA HSR&D Center for Clinical Management Research, Ann Arbor, MI 48105, USA
| | - Ji Zhu
- Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Akbar K. Waljee
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109, USA
- Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, MI 48109, USA
- VA HSR&D Center for Clinical Management Research, Ann Arbor, MI 48105, USA
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4
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Lo JO, Benson AE, Martens K, Hedges MA, McMurry HS, DeLoughery T, Aslan JE, Shatzel JJ. The role of oral iron in the treatment of adults with iron deficiency. Eur J Haematol 2023; 110:123-130. [PMID: 36336470 PMCID: PMC9949769 DOI: 10.1111/ejh.13892] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/30/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022]
Abstract
Iron deficiency is the most common nutrient deficiency in the world, affecting over 20% of premenopausal women worldwide. Oral iron supplementation is often the first-line treatment for the acute and chronic management of iron deficiency due to its ease and accessibility. However, there is no consensus on the optimal formulation or dosing strategy, or which patients should be preferentially treated with intravenous iron. Management of iron deficiency is complicated by the hepcidin-ferroportin iron regulatory pathway, which has evolved to prevent iron overload and thereby creates an inherent limit on gastrointestinal iron uptake and efficacy of oral iron. Unabsorbed iron propagates many of the side effects that complicate oral iron use including dyspepsia and constipation, all of which can thus be exacerbated by excessive oral iron doses. Daily low dose and every other day dosing protocols have attempted to bypass this physiologic bottleneck to allow for effective absorption and limit side effects; however, this approach has still resulted in low fractional iron absorption. In the following manuscript, we review the pathophysiology of iron absorption and current evidence for various preparations of oral iron. Lastly, we highlight opportunities for further study to advance the care of individuals affected by iron deficiency.
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Affiliation(s)
- Jamie O Lo
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, OR USA
| | - Ashley E. Benson
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, OR USA
| | - Kylee Martens
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA
| | - Madeline A. Hedges
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, OR USA
| | - Hannah Stowe McMurry
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA
| | - Thomas DeLoughery
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA
| | - Joseph E. Aslan
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA
| | - Joseph J. Shatzel
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA
- Department of Biomedical Engineering, Oregon Health & Science University, OR USA
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5
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Benson AE, Shatzel JJ, Ryan KS, Hedges MA, Martens K, Aslan JE, Lo JO. The incidence, complications, and treatment of iron deficiency in pregnancy. Eur J Haematol 2022; 109:633-642. [PMID: 36153674 PMCID: PMC9669178 DOI: 10.1111/ejh.13870] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/20/2022] [Accepted: 09/22/2022] [Indexed: 11/30/2022]
Abstract
Iron deficiency and/or iron deficiency anemia (IDA) complicate nearly 50% of pregnancies globally, negatively impacting both maternal and fetal outcomes. Iron deficiency can cause a range of symptoms that range from aggravating to debilitating including fatigue, poor quality of life, pagophagia, and restless leg syndrome. Iron deficiency and IDA are also associated with maternal complications including preterm labor, increased rates of cesarean delivery, postpartum hemorrhage, and maternal death. Fetal complications include increased rates of low birth weight and small for gestational age newborns. Prenatal maternal anemia has also been associated with autism spectrum disorders in the neonate, although causation is not established. Deficiency in the newborn is associated with compromised memory, processing, and bonding, with some of these deficits persisting into adulthood. Despite the prevalence and consequences associated with iron deficiency in pregnancy, data show that it is routinely undertreated. Due to the physiologic changes of pregnancy, all pregnant individuals should receive oral iron supplementation. However, the bioavailability of oral iron is poor and it is often ineffective at preventing and treating iron deficiency. Likewise, it frequently causes gastrointestinal symptoms that can worsen the quality of life in pregnancy. Intravenous iron formulations administered in a single or multiple dose series are now available. There is increasing data suggesting that newer intravenous formulations are safe and effective in the second and third trimesters and should be strongly considered in pregnant individuals without optimal response to oral iron repletion.
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Affiliation(s)
- Ashley E Benson
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph J Shatzel
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA
| | - Kim S Ryan
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - Madeline A Hedges
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
| | - Kylee Martens
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph E Aslan
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Jamie O Lo
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon, USA
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6
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Jefferds MED, Mei Z, Addo Y, Hamner HC, Perrine CG, Flores-Ayala R, Pfeiffer CM, Sharma AJ. Iron Deficiency in the United States: Limitations in Guidelines, Data, and Monitoring of Disparities. Am J Public Health 2022; 112:S826-S835. [PMID: 36288529 PMCID: PMC9612197 DOI: 10.2105/ajph.2022.306998] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2022] [Indexed: 11/04/2022]
Abstract
Iron deficiency and the more severe sequela, iron deficiency anemia, are public health problems associated with morbidity and mortality, particularly among pregnant women and younger children. The 1998 Centers for Disease Control and Prevention recommendations for prevention and control of iron deficiency in the United States is old and does not reflect recent evidence but is a foundational reference for many federal, clinical, and program guidelines. Surveillance data for iron deficiency are sparse at all levels, with critical gaps for pregnant women and younger children. Anemia, iron deficiency, and iron deficiency anemia are often conflated but should not be. Clinical guidelines for anemia, iron deficiency, and iron deficiency anemia give inconsistent recommendations, causing nonsystematic assessment of iron deficiency. Screening for iron deficiency typically relies on identifying anemia, despite anemia's low sensitivity for iron deficiency. In the National Health and Nutrition Examination Survey, more than 70% of iron deficiency is missed among pregnant women and children by relying on hemoglobin for iron deficiency screening. To improve assessment and diagnosis and strengthen surveillance, better and more complete data and updated foundational guidance on iron deficiency and anemia are needed that consider new evidence for measuring and interpreting laboratory results. (Am J Public Health. 2022;112(S8):S826-S835. https://doi.org/10.2105/AJPH.2022.306998).
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Affiliation(s)
- Maria Elena D Jefferds
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Zuguo Mei
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Yaw Addo
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Heather C Hamner
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Cria G Perrine
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Rafael Flores-Ayala
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Christine M Pfeiffer
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
| | - Andrea J Sharma
- At the time of writing, Maria Elena D. Jefferds, Zuguo Mei, Yaw Addo, Heather C. Hamner, Cria G. Perrine, Rafael Flores-Ayala, and Andrea J. Sharma were with the National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Christine M. Pfeiffer was with the Nutritional Biomarkers Branch, National Center for Environmental Health, CDC, Atlanta
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