0
Letters |

Association Between Altitude and Mortality in Incident Dialysis Patients

Ji Young Shin, MD; William C. Steinmann, MD, MSc
JAMA. 2009;301(23):2442-2443. doi:10.1001/jama.2009.841
Text Size: A A A
Published online

To the Editor: The retrospective cohort study by Dr Winkelmayer and colleagues1 suggested an inverse relationship between increasing altitude and all-cause mortality among US dialysis patients after adjusting for age, sex, and race in the dialysis population. Race and ethnicity have been shown to be associated with differences in all-cause and disease-specific mortality.2 3 In addition to differences in risk factors and genetic influences, mortality rates reflect in part racial and ethnic differences associated with health care access and quality.4

Because of the lower prevalence of most comorbid conditions as altitude increases, lower proportion of African American and Asian patients at higher altitudes, and higher proportion of Native Americans residing at higher altitudes, the authors appropriately adjusted for race in their estimates of all-cause mortality in the dialysis patients. However, although the mortality rates by altitude for the dialysis patients were adjusted for age, sex, and race, the comparative general population mortality rates were standardized only for age and sex.

The failure to adjust for race in the general population mortality rates may result in underestimation of the mortality rate in the general population residing at lower altitudes. An increase in the race-adjusted general population rates may result in statistically nonsignificant differences (overlap of confidence intervals) when comparing the general population and the end-stage renal disease (ESRD) population, therefore decreasing the likelihood that these 2 groups are truly different. The authors had emphasized the lack of overlap of the confidence intervals when interpreting the significance of their findings.

Another concern is that if for a specific disease a patient's prognosis or quality of life is adversely affected by altitude, that may affect the choice of where to live. If these diseases are associated with race and with increased mortality (eg, sickle cell disease), the apparent protective effect on all-cause general mortality rates by increasing altitude may be confounded by these associations. Information on mortality rates for specific conditions and the number of deaths from these comorbid conditions by race would strengthen and help interpret the study results.

AUTHOR INFORMATION

Financial Disclosures: None reported.

REFERENCES

Winkelmayer WC, Liu J, Brookhart MA. Altitude and all-cause mortality in incident dialysis patients.  JAMA. 2009;301(5):508-512
PubMedCrossRef
Bloche MG. Health care disparities: science, politics, and race.  N Engl J Med. 2004;350(15):1568-1570
PubMedCrossRef
Pearson MZ. Racial disparities in chronic kidney disease: current data and nursing roles.  Nephrol Nurs J. 2008;35(5):485-489
PubMed
Lee C. “Race” and” ethnicity” in biomedical research: how do scientists construct and explain differences in health?  Soc Sci Med. 2009;68(6):1183-1190
PubMedCrossRef

First Page Preview

First page PDF preview

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Winkelmayer WC, Liu J, Brookhart MA. Altitude and all-cause mortality in incident dialysis patients.  JAMA. 2009;301(5):508-512
PubMedCrossRef
Bloche MG. Health care disparities: science, politics, and race.  N Engl J Med. 2004;350(15):1568-1570
PubMedCrossRef
Pearson MZ. Racial disparities in chronic kidney disease: current data and nursing roles.  Nephrol Nurs J. 2008;35(5):485-489
PubMed
Lee C. “Race” and” ethnicity” in biomedical research: how do scientists construct and explain differences in health?  Soc Sci Med. 2009;68(6):1183-1190
PubMedCrossRef
June 17, 2009
Robert Scragg, MBBS, PhD; Ravi Thadhani, MD, MPH; Carlos A. Camargo, MD, DrPH
JAMA. 2009;301(23):2442-2443.
June 17, 2009
Stanley Shaldon, MA, MD
JAMA. 2009;301(23):2442-2443.
June 17, 2009
Wolfgang C. Winkelmayer, MD, ScD, MPH; M. Alan Brookhart, PhD
JAMA. 2009;301(23):2442-2443.
CME Course for:


You need to register in order to view this quiz.


To understand the clinical management of acute heart failure syndromes.
Accreditation Information The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
To view and print your certificate and access a summary of your CME courses go to My CME.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Response

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.