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Red Blood Cell Distribution Width and the Risk of Death in Middle-aged and Older Adults
Open accessAbstract
BACKGROUND: Red blood cell distribution width (RDW), a component of an electronic complete blood count, is a measure of heterogeneity in the size of circulating erythrocytes. In patients with symptomatic cardiovascular disease (CVD), RDW is associated with mortality. However, it has not been demonstrated that RDW is a predictor of mortality independent of nutritional deficiencies or in the general population. METHODS: Red blood cell distribution width was measured in a national sample of 8175 community-dwelling adults 45 years or older who participated in the 1988-1994 National Health and Nutrition Examination Survey; mortality follow-up occurred through December 31, 2000. Deaths from all causes, CVD, cancer, and other causes were examined as a function of RDW. RESULTS: Higher RDW values were strongly associated with an increased risk of death. Compared with the lowest quintile of RDW, the following were adjusted hazard ratios (HRs) for all-cause mortality (and 95% confidence intervals [CIs]): second quintile, HR, 1.1 (95% CI, 0.9-1.3); third quintile, HR, 1.2 (95% CI, 1.0-1.4); fourth quintile, HR, 1.4 (95% CI, 1.2-1.8); and fifth quintile, HR, 2.1 (95% CI, 1.7-2.6). For every 1% increment in RDW, all-cause mortality risk increased by 22% (HR, 1.22; 95% CI, 1.15-1.30; P < .001). Even when analyses were restricted to nonanemic participants or to those in the reference range of RDW (11%-15%) without iron, folate, or vitamin B(12) deficiency, RDW remained strongly associated with mortality. The prognostic effect of RDW was observed in both middle-aged and older adults for multiple causes of death. CONCLUSION: Red blood cell distribution width is a widely available test that is a strong predictor of mortality in the general population of adults 45 years or older.
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“Like several other well-described markers in blood cells, such as red cell distribution width 83, DNA methylation clocks 84, and loss of Y-chromosome 85, CHIP is associated with multiple adverse outcomes in epidemiological studies.”
From Clonal hematopoiesis in human aging and disease (2019) · cites this paper as [83]
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Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Levey, A. S., Coresh, J., Greene, T., Stevens, L. A., Zhang, Y., Hendriksen, S. M., Kusek, J. W., & Lente, F. V. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-4-200608150-00004 · Cited by 5,726
Weiss, G., & Goodnough, L. T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra041809 · Cited by 3,800
Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction
Cook, N. R. (2007) · Circulation · doi:10.1161/circulationaha.106.672402 · Cited by 2,156
Greenland, P. (2007) · Statistics in Medicine · doi:10.1002/sim.2976 · Cited by 1,300
Prevalence of Iron Deficiency in the United States
Looker, A. C. (1997) · JAMA · doi:10.1001/jama.1997.03540360041028 · Cited by 1,137
Red Cell Distribution Width as a Novel Prognostic Marker in Heart Failure
Felker, G. M., Allen, L. A., Pocock, S., Shaw, L. K., McMurray, J. J. V., Pfeffer, M. A., Swedberg, K. B., Wang, D., Yusuf, S., Michelson, E. L., et al. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.02.067 · Cited by 953
Tonelli, M. A., Sacks, F. M., Arnold, M., Moyé, L. A., Davis, B. R., & Pfeffer, M. A. (2008) · Circulation · doi:10.1161/circulationaha.107.727545 · Cited by 821
Service, P. H. (1994) · PubMed · Cited by 740
Statistical Evaluation of Prognostic versus Diagnostic Models: Beyond the ROC Curve
Cook, N. R. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.096529 · Cited by 697
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Items 101–200 of 620
García‐Escobar, A., Lázaro-García, R., Goicolea-Ruigómez, J., González‐Casal, D., Fontenla, A., Soto, N., González‐Panizo, J., Datino, T., Pizarro, G., Moreno, R., et al. (2024) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-024-00662-0 · Cited by 58
ZALAWADIYA, S. K., Veeranna, V., Panaich, S., Afonso, L., & Ghali, J. K. (2012) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2012.01.396 · Cited by 52
Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
Mahmoodpoor, A., Yousefi, B., Ghamari, A. A., Soleimanpour, H., & Karimian, A. (2019) · Indian Journal of Critical Care Medicine · doi:10.5005/jp-journals-10071-23328 · Cited by 51
Pedrazzani, C., Tripepi, M., Turri, G., Fernandes, E., Scotton, G., Conci, S., Campagnaro, T., Ruzzenente, A., & Guglielmi, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-57721-4 · Cited by 51
High red blood cell distribution width is closely associated with nonalcoholic fatty liver disease
Yang, W., Huang, H., Wang, Y., Yu, X., & Yang, Z. (2013) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0b013e328365c403 · Cited by 51
Personalized lab test models to quantify disease potentials in healthy individuals
Cohen, N. M., Schwartzman, O., Jaschek, R., Lifshitz, A., Hoichman, M., Balicer, R. D., Shlush, L. I., Barbash, G., & Tanay, A. (2021) · Nature Medicine · doi:10.1038/s41591-021-01468-6 · Cited by 49
Smith, S. G., Witkowski, A., Moghul, A., Yoshinaga, Y., Nefedov, M., de Jong, P., Feng, D., Fong, L. G., Tu, Y., Hu, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047196 · Cited by 50
Effect of Atorvastatin on Hematologic Parameters in Patients With Hypercholesterolemia
Akın, F., Ayça, B., Köse, N., Şahin, İ., Akın, M. N., Canbek, T. D., & Güngör, Ö. (2013) · Angiology · doi:10.1177/0003319713479154 · Cited by 50
Muhlestein, J. B., LAPPE, D. L., Anderson, J. L., Muhlestein, J. B., Budge, D., May, H. T., Bennett, S. T., Bair, T. L., & Horne, B. D. (2016) · International Journal of Laboratory Hematology · doi:10.1111/ijlh.12490 · Cited by 50
Sheikh, O., Hei, A. V., Battisha, A., Hammad, T., Pham, S. V., & CHILTON, R. J. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0887-0 · Cited by 52
Lenti, M. V., Lahner, E., Bergamaschi, G., Miceli, E., Conti, L., Massironi, S., Cococcia, S., Zilli, A., Caprioli, F., Vecchi, M. L., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8111992 · Cited by 50
Subhashree, A. R. (2012) · JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · doi:10.7860/jcdr/2012/4882.2630 · Cited by 49
Băicuş, C., Caraiola, S., Rimbaș, M., Pătraşcu, R., Băicuş, A., Involuntare, G. D. S. A. S. P., Băicuş, C., Badea, C. G., Balanescu, A., Balea, M. I., et al. (2011) · Journal of Investigative Medicine · doi:10.2310/jim.0b013e31822467a3 · Cited by 49
ZALAWADIYA, S. K., Zmily, H. D., Farah, J. O., Daifallah, S., Ali, O., & Ghali, J. K. (2010) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2010.11.006 · Cited by 50
Chen, G., Huang, Y., Yang, X., & Feng, J. (2015) · Mediators of Inflammation · doi:10.1155/2015/854670 · Cited by 49
Horne, B. D., Anderson, J. L., Muhlestein, J. B., Ridker, P. M., & Paynter, N. P. (2014) · European Journal of Preventive Cardiology · doi:10.1177/2047487313519347 · Cited by 49
The role of red cell distribution width in the prognosis of patients with gastric cancer
Yazıcı, P., Demir, U., Bozkurt, E., Işıl, R. G., & Mihmanlı, M. (2016) · Cancer Biomarkers · doi:10.3233/cbm-160668 · Cited by 49
Pinho, J., Marques, S. A., Freitas, E., Araújo, J. M., Taveira, M., Alves, J. M., & Ferreira, C. O. (2018) · Thrombosis Research · doi:10.1016/j.thromres.2018.02.002 · Cited by 49
Sazawal, S., Dhingra, U., Dhingra, P., Dutta, A., Shabir, H., Menon, V. P., & Black, R. E. (2014) · BMC Pediatrics · doi:10.1186/1471-2431-14-8 · Cited by 49
Lippi, G., Mattiuzzi, C., & Cervellin, G. (2016) · Acta bio-medica dell'Ateneo parmense/Acta biomedica · Cited by 48
The emerging role of red blood cells in cytokine signalling and modulating immune cells
Karsten, E., & Herbert, B. R. (2019) · Blood Reviews · doi:10.1016/j.blre.2019.100644 · Cited by 49
Wang, L., Wang, C., Wu, S., Li, Y., Guo, W. Q., & Liu, M. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2019.12.142 · Cited by 48
Yoon, H. E., Kim, S. J., Hwang, H. S., Chung, S., Yang, C. W., & Shin, S. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126272 · Cited by 48
Kim, M.-Y., Jee, S. H., Yun, J. E., Baek, S. J., & Lee, D. (2013) · Journal of Korean Medical Science · doi:10.3346/jkms.2013.28.9.1316 · Cited by 51
The Association Between Red Cell Distribution Width and Stroke in Patients with Atrial Fibrillation
Saliba, W., Barnett‐Griness, O., Elias, M. S., & Rennert, G. (2014) · The American Journal of Medicine · doi:10.1016/j.amjmed.2014.09.020 · Cited by 47
DeBari, V. A., Mahmood, N., Mathew, J. J., Kang, B., & Khan, M. (2014) · International Journal of Critical Illness and Injury Science · doi:10.4103/2229-5151.147518 · Cited by 47
Can Red Blood Cell Distribution Width Predict Severity of Obstructive Sleep Apnea Syndrome?
Sökücü, S. N., Karasulu, L., Dalar, L., Seyhan, E. C., & Altın, S. (2012) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2146 · Cited by 46
Yčas, J. W. (2017) · Advances in clinical chemistry · doi:10.1016/bs.acc.2017.06.002 · Cited by 45
Uffen, J. W., Oomen, P. G. A., de Regt, M. J. A., Oosterheert, J. J., & Kaasjager, K. A. H. (2019) · BMC Emergency Medicine · doi:10.1186/s12873-019-0293-7 · Cited by 48
High red blood cell distribution width is associated with the metabolic syndrome
Perl, M. L., Havakuk, O., Finkelstein, A., Halkin, A., Revivo, M., Elbaz, M., Herz, I., Keren, G., Banai, S., & Arbel, Y. (2016) · Clinical Hemorheology and Microcirculation · doi:10.3233/ch-151978 · Cited by 45
Afonso, L., ZALAWADIYA, S. K., Veeranna, V., Panaich, S., Niraj, A., & Jacob, S. (2011) · Nephron Clinical Practice · doi:10.1159/000328918 · Cited by 45
Garofoli, F., Ciardelli, L. M., Mazzucchelli, I., Borghesi, A., Angelini, M., Bollani, L., Genini, E., Manzoni, P., Paolillo, P., Tinelli, C., et al. (2013) · Hematology · doi:10.1179/1607845413y.0000000141 · Cited by 45
Baggen, V. J. M., van den Bosch, A. E., van Kimmenade, R. R. J., Eindhoven, J. A., Witsenburg, M., Cuypers, J. A. A. E., Leebeek, F. W. G., Boersma, E. H., & Roos‐Hesselink, J. W. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.02.118 · Cited by 47
Rosenfeld, L. G., Malta, D. C., Szwarcwald, C. L., Bacal, N. S., Cuder, M. A. M., Pereira, C. A., Figueiredo, A. W., da Silva, A. G., Machado, Í. E., da Silva, W. A., et al. (2019) · Revista Brasileira de Epidemiologia · doi:10.1590/1980-549720190003.supl.2 · Cited by 44
He, J., Li, H., Zhang, Y., Li, C., Hu, Y., & Xia, C. (2015) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2015.04.005 · Cited by 44
The Red Cell Distribution Width and Anemia in Association With Prevalent Dementia
Weuve, J., de Leon, C. F. M., Bennett, D. A. A., Dong, X., & Evans, D. A. (2013) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318299673c · Cited by 44
Fatemi, O., Paranilam, J., Rainow, A., Kennedy, K. F., Choi, J. C., Cutlip, D. E., Pencina, M. J., Berger, P. B., Cohen, D. J., & Kleiman, N. S. (2012) · Journal of Thrombosis and Thrombolysis · doi:10.1007/s11239-012-0767-x · Cited by 43
Nishizaki, Y., Yamagami, S., Suzuki, H., Joki, Y., Takahashi, S., Sesoko, M., Yamashita, H., Kuremoto, K., Shinozaki, T., & Daida, H. (2012) · Internal Medicine · doi:10.2169/internalmedicine.51.7938 · Cited by 43
Zurauskaité, G., Meier, M. A., Voegeli, A., Koch, D., Haubitz, S., Kutz, A., Bernasconi, L., Huber, A., Bargetzi, M. J., Müeller, B., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191280 · Cited by 44
Wang, B., Lu, H.-Y., Gong, Y., Ying, B., & Cheng, B. (2018) · BioMed Research International · doi:10.1155/2018/9658216 · Cited by 43
Red cell distribution width is associated with mortality in kidney transplant recipients
Mucsi, I., Újszászi, Á., Czira, M. E., Novák, M., & Molnar, M. Z. (2013) · International Urology and Nephrology · doi:10.1007/s11255-013-0530-z · Cited by 42
Red Cell Distribution Width Does Not Predict Stroke Severity or Functional Outcome
Ntaios, G., Gurer, O., Faouzi, M., Aubert, C. E., & Michel, P. (2011) · International Journal of Stroke · doi:10.1111/j.1747-4949.2011.00609.x · Cited by 42
Relation between Red Blood Cell Distribution Width and Ischemic Stroke: A Case-Control Study
Ramírez-Moreno, J. M., González‐Gómez, M., Ollero-Ortiz, A., Roa-Montero, A. M., Gómez-Baquero, M. J., & Constantino-Silva, A. B. (2013) · International Journal of Stroke · doi:10.1111/ijs.12091 · Cited by 42
Hu, Y., Liu, H., Fu, S., Wan, J., & Li, X. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000485866 · Cited by 43
Red Cell Distribution Width Is a Risk Factor for Hip Fracture in Elderly Men Without Anemia
Kim, K. M., Lui, L., Cauley, J. A., Ensrud, K. E., ORWOLL, E. S., Schousboe, J. T., & Cummings, S. R. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3963 · Cited by 41
Smirne, C., Grossi, G., Pinato, D. J., Burlone, M. E., Mauri, F. A., Januszewski, A. P., Oldani, A., Minisini, R., Sharma, R., & Pirisi, M. (2015) · Digestive and Liver Disease · doi:10.1016/j.dld.2015.03.011 · Cited by 41
Luo, R., Hu, J., Jiang, L., & Zhang, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167000 · Cited by 41
Age acquired skewed X chromosome inactivation is associated with adverse health outcomes in humans
Roberts, A. L., Morea, A., Amar, A., Zito, A., Moustafa, J. S. E.-S., Tomlinson, M., Bowyer, R. C. E., Zhang, X., Christiansen, C., Costeira, R., et al. (2022) · eLife · doi:10.7554/elife.78263 · Cited by 44
Afşar, B., Saglam, M., Yuceturk, C., & Ağca, E. (2012) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2012.11.017 · Cited by 41
Red blood cell distribution width predicts new-onset anemia in heart failure patients
Pascual-Figal, D. A., Bonaque, J. C., Manzano‐Fernández, S., Fernández, A., Garrido, I. P., Pastor‐Pérez, F. J., Lax, A., Valdés, M., & Januzzi, J. L. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.04.018 · Cited by 40
Özgül, G., Seyhan, E. C., Özgül, M. A., & Günlüoğlu, M. Z. (2016) · Archivos de Bronconeumología · doi:10.1016/j.arbr.2016.06.027 · Cited by 40
Smukowska-Gorynia, A., Tomaszewska, I., Małaczyńska-Rajpold, K., Marcinkowska, J., Komosa, A., Janus, M., Olasińska‐Wiśniewska, A., Sławek-Szmyt, S., Araszkiewicz, A., Jankiewicz, S., et al. (2017) · Heart Lung and Circulation · doi:10.1016/j.hlc.2017.08.007 · Cited by 40
Kim, S., Lee, K., Kim, I. B., Jung, S.-Y., & Kim, M. J. (2015) · Clinical and Experimental Emergency Medicine · doi:10.15441/ceem.15.037 · Cited by 40
Red blood cell distribution width is not correlated with preeclampsia among pregnant Sudanese women
Abdullahi, H., Ameer, O., Rayis, D. A., Gasim, G. I., Imam, A. M., & Adam, I. (2014) · Diagnostic Pathology · doi:10.1186/1746-1596-9-29 · Cited by 40
Improvement of Mortality Prognostication in Patients With Epidermal Necrolysis
Koh, H. K., Fook-Chong, S. M. C., & Lee, H. Y. (2021) · JAMA Dermatology · doi:10.1001/jamadermatol.2021.5119 · Cited by 39
Predicting bloodstream infection outcome using machine learning
Zoabi, Y., Kehat, O., Lahav, D., Weiss-Meilik, A., Adler, A., & Shomron, N. (2021) · Scientific Reports · doi:10.1038/s41598-021-99105-2 · Cited by 37
Red Cell Distribution Width and Mortality in Newly Hospitalized Patients
Hunziker, S., Stevens, J. P., & Howell, M. D. (2012) · The American Journal of Medicine · doi:10.1016/j.amjmed.2011.08.021 · Cited by 38
Kurtul, A., Yarlıoğlueş, M., Murat, S. N., Demirçelik, M. B., Açi̇kgöz, S. K., Ergün, G., Duran, M., Çetın, M., & Örnek, E. (2014) · Angiology · doi:10.1177/0003319714535238 · Cited by 38
In search of antiaging modalities: Evaluation of mTOR‐ and ROS/DNA damage‐signaling by cytometry
Darżynkiewicz, Z., Zhao, H., Halicka, H. D., Li, J., Lee, Y., Hsieh, T., & WU, J. M. (2014) · Cytometry Part A · doi:10.1002/cyto.a.22452 · Cited by 39
The Association between Red Blood Cell Distribution Width and Sarcopenia in U.S. Adults
Kim, J., Im, J.-S., Choi, C. H., Park, C. H., Lee, J. I., Son, K. H., & Choi, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-29855-z · Cited by 42
Martínez‐Velilla, N., Ibáñez, B., Cambra, K., & Alonso‐Renedo, J. (2011) · AGE · doi:10.1007/s11357-011-9254-0 · Cited by 38
Huang, R., Yang, C., Wu, K., Cao, S., Liu, Y., Su, R., Xiong, Y., Huang, A., & Wu, C. (2014) · Hepatology Research · doi:10.1111/hepr.12342 · Cited by 37
Red cell distribution width predicts deaths in patients with acute pancreatitis
Liu, M., Wang, D., Yang, J., Zhang, J., Zhang, S., Wang, B., & Wang, R. (2015) · Journal of Research in Medical Sciences · doi:10.4103/1735-1995.163951 · Cited by 37
Lim, S.-L., Mustapha, N. M., Goh, Y. M., Bakar, N. A. A., & Mohamed, S. (2016) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-016-2698-x · Cited by 37
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Jaman, M. S. (2017) · Annals of Clinical Endocrinology and Metabolism · doi:10.29328/journal.acem.1001004 · Cited by 45
Elkhatib, T. H. M., Shehta, N., & Bessar, A. A. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.04.038 · Cited by 37
Abdullah, H. R., Sim, Y. E., Sim, Y.-E., Ang, A. L., Chan, Y. H., Richards, T., & Ong, B. C. (2018) · Scientific Reports · doi:10.1038/s41598-018-24556-z · Cited by 35
Zhang, M., Zhang, Y., Li, C., & He, L. (2015) · Renal Failure · doi:10.3109/0886022x.2015.1010938 · Cited by 36
Özgül, G., Seyhan, E. C., Özgül, M. A., & Günlüoğlu, M. Z. (2016) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2016.05.021 · Cited by 36
Red cell distribution width associations with clinical outcomes: A population-based cohort study
Tonelli, M. A., Wiebe, N., James, M. T., Naugler, C. T., Manns, B., Klarenbach, S. W., & Hemmelgarn, B. R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212374 · Cited by 35
Yao, H.-M., Sun, T., Zhang, X., Shen, D., Du, Y., Wan, Y., Zhang, J., Li, L., & Zhao, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094887 · Cited by 36
Vayá, A., Rivera, L., de la Espriella, R., Sanchez, F., Suescún, M., Hernandez, J. L., & Fácila, L. (2015) · Clinical Hemorheology and Microcirculation · doi:10.3233/ch-131751 · Cited by 35
Oh, J., Kang, S., Won, H., Hong, N., Kim, S. Y., Park, S., Lee, S., Jang, Y., & Chung, N. (2011) · Circulation Journal · doi:10.1253/circj.cj-11-0664 · Cited by 34
Red cell distribution width as a bleeding predictor after percutaneous coronary intervention
Fatemi, O., Torguson, R., Chen, F., Ahmad, S., Badr, S. M., Satler, L. F., Pichard, A. D., Kleiman, N. S., & Waksman, R. (2013) · American Heart Journal · doi:10.1016/j.ahj.2013.04.006 · Cited by 34
Bello, S., Fandos, S., Lasierra, A., Mincholé, E., Panadero, C., Simon, A. L., Gavín, O., Pablo, F. D., Menéndez, R., & Torres, A. (2015) · Respiratory Medicine · doi:10.1016/j.rmed.2015.07.003 · Cited by 34
The predictive value of RDW in AKI and mortality in patients with traumatic brain injury
Wang, R. R., He, M., Ou, X. F., Xie, X. Q., & Kang, Y. (2020) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23373 · Cited by 34
Association Between Variation in Red Cell Size and Multiple Aging-Related Outcomes
Kim, K. M., Lui, L., Browner, W. S., Cauley, J. A., Ensrud, K. E., Kado, D. M., ORWOLL, E. S., Schousboe, J. T., & Cummings, S. R. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa217 · Cited by 33
Zehir, S., Sipahioğlu, S., Özdemir, G., Şahin, E., Yar, Ü., & Akgül, T. (2014) · Acta Orthopaedica et Traumatologica Turcica · doi:10.3944/aott.2014.2859 · Cited by 34
Lappegård, J., Skjelbakken, T., Brækkan, S. K., Hansen, J., & Ellingsen, T. S. (2014) · Thrombosis and Haemostasis · doi:10.1160/th14-04-0335 · Cited by 34
Loprinzi, P. D., Loenneke, J. P., & Abe, T. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.01.011 · Cited by 33
Kaya, A., Işık, T., Kaya, Y., Enginyurt, Ö., Günaydın, Z. Y., İşcanlı, M. D., Kurt, M., & Tanboğa, İ. H. (2013) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/1076029613493658 · Cited by 33
Ye, W., Li, J., Li, X., Yang, X., Weng, Y.-Y., Xiang, W., Zhang, O., Ke, B., & Zhang, X. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s233701 · Cited by 33
Pinho, J., Silva, L., Quintas-Neves, M., Marques, L., Amorim, J. M., Reich, A., & Ferreira, C. O. (2020) · Neurocritical Care · doi:10.1007/s12028-020-01103-1 · Cited by 33
Chugh, C., Nyirjesy, S. C., Nawalinski, K., Sandsmark, D. K., Frangos, S. G., Maloney‐Wilensky, E., Stein, S. C., Levine, J. M., Kasner, S. E., & Kumar, M. A. (2015) · Neurocritical Care · doi:10.1007/s12028-015-0117-x · Cited by 33
Red blood cell distribution width and 3-year outcome in patients undergoing cardiac catheterization
Arbel, Y., Birati, E. Y., Finkelstein, A., Halkin, A., Berliner, S. A., Katz, B., Revivo, M., Saranga, H., Herz, I., Keren, G., et al. (2013) · Journal of Thrombosis and Thrombolysis · doi:10.1007/s11239-013-0964-2 · Cited by 32
Platelet to lymphocyte ratio in acute aortic dissection
Sbarouni, E., Γεωργιάδου, Π., Kosmas, I., Analitis, A., & Voudris, V. A. (2018) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.22447 · Cited by 32
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Reisz, J. A., Earley, E. J., Nemkov, T. G., Key, A., Stephenson, D., Keele, G. R., Dzieciątkowska, M., Spitalnik, S. L., Hod, E. A., Kleinman, S. H., et al. (2024) · Aging Cell · doi:10.1111/acel.14388 · Cited by 33
Bonaque, J. C., Pascual-Figal, D. A., Manzano‐Fernández, S., González-Cánovas, C., Vidal, A., Muñoz‐Esparza, C., Garrido, I. P., Pastor‐Pérez, F. J., & Valdés, M. (2012) · Revista Española de Cardiología · doi:10.1016/j.recesp.2011.12.006 · Cited by 31
Chronic training increases blood oxidative damage but promotes health in elderly men
de Gonzalo‐Calvo, D., Fernández‐Garcia, B., de Luxán‐Delgado, B., Rodríguez‐González, S., Macia, M. G., Suárez, F. M., Solano, J. J., Rodríguez‐Colunga, M. J., & Coto‐Montes, A. M. (2012) · AGE · doi:10.1007/s11357-011-9358-6 · Cited by 31
Xiong, X., Yuan, Y., Chen, X., Zhu, X., Hu, C., Han, Y., Zhao, L., Liu, F., & Sun, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-02904-9 · Cited by 31
Tajuddin, S. M., Nalls, M. A., Zonderman, A. B., & Evans, M. K. (2017) · Journal of Translational Medicine · doi:10.1186/s12967-017-1313-6 · Cited by 31
Li, Y., Cao, Y. Y., Wang, M., Wang, L., Wu, Y., Fang, Y., Zhao, Y., Fan, Y., Liu, X., Liang, H., et al. (2024) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-024-01428-y · Cited by 33
Lu, Y.-A., Fan, P., Lee, C., Wu, V. C., Tian, Y., Yang, C.-W., Chen, Y., & Chang, C. (2017) · BMC Nephrology · doi:10.1186/s12882-017-0766-4 · Cited by 30
Życzkowski, M., Rajwa, P., Gabryś, E., Jakubowska, K., Jantos, E., & Paradysz, A. (2017) · Clinical Genitourinary Cancer · doi:10.1016/j.clgc.2017.12.003 · Cited by 30
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Adam, I., Mutabingwa, T. K., & Malik, E. M. (2019) · Clinical Hypertension · doi:10.1186/s40885-019-0119-7 · Cited by 29
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Zhou, D., Xu, P., Peng, M., Shao, X., Wang, M., Ouyang, J., & Chen, B. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.02.009 · Cited by 29
Uche, E. I., Akinbami, A., Odesanya, M., John‐Olabode, S., Adediran, A., Oshinaike, O. O., Ogbera, A. O., Ekwere, T. A., Aile, K., Okunoye, O., et al. (2014) · Journal of Blood Medicine · doi:10.2147/jbm.s67989 · Cited by 29
Decker, I., Ghosh, S., COMHAIR, S. A. A., Farha, S., Tang, W. H. W., Park, M. M., Wang, S., Lichtin, A. E., & ERZURUM, S. C. (2011) · Clinical and Translational Science · doi:10.1111/j.1752-8062.2011.00301.x · Cited by 29
Vayá, A., Alis, R., Suescún, M., Rivera, L., Murado, J., Romagnoli, M., Solá, E., & Hernández‐Mijares, A. (2016) · Clinical Hemorheology and Microcirculation · doi:10.3233/ch-141859 · Cited by 29
Metadata
- Authors
- Patel, K. V., Ferrucci, L., Ershler, W. B., Longo, D. L., & Guralnik, J. M.
- Affiliations
- National Institutes of Health (US)
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2009-03-09
- Volume
- 169
- Issue
- 5
- Pages
- 515
- ISSN
- 0003-9926 (ISSN-L)
- PMC
- PMC2765040
- OpenAlex
- W2060671390
- Cited by
- 618
- References
- 24
- Citations by year
- 2026: 28 · 2025: 24 · 2024: 21 · 2023: 40 · 2022: 37 · 2021: 52 · 2020: 45 · 2019: 33 · 2018: 39 · 2017: 43 · 2016: 46 · 2015: 45 · 2014: 48 · 2013: 35 · 2012: 41
- FWCI
- 13.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 AG999999)
- Topics
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Hematology › Blood properties and coagulation
- Health Sciences › Medicine › Physiology (medical) › Erythrocyte Function and Pathophysiology
- Keywords
- red cell distribution width, all-cause mortality, mortality prediction, complete blood count, middle-aged and older adults, cardiovascular mortality, cancer mortality, nutritional deficiency, iron deficiency, folate deficiency, vitamin B12 deficiency
- MeSH terms
- Aged, Erythrocyte Indices, Erythrocytes, Female, Humans, Male, Middle Aged, Mortality, Risk Factors
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