Functional outcomes after critical illness in the elderly.
Functional outcomes after critical illness in the elderly.
复制标题
老年人危重疾病后的功能结果。
DOI:
10.1097/ccm.0000000000001026
复制
发表时间:
2015
影响因子:
8.8
通讯作者:
Eckenhoff,RodericG
中科院分区:
文献类型:
--
作者:
Neuman,MarkD;Eckenhoff,RodericG
Functional Outcomes After Critical Illness in the Elderly* associations between housing status and health, the unique use of propensity matching suggests that homeless patients have no additional sequelae specifically from their homelessness and indeed benefit from the same care. Indeed, this finding alone is extremely interesting and worthy of note and will no doubt be an impetus for discussion and additional study. The literature surrounding this area and general mantra suggests that homeless patients have poor medical care, a greater burden of chronic disease, and worsened outcomes (2, 4). This “disease of poverty” has been widely reported, and it is safe to say generally believed to do poorly. Whether this was because of something inherent in these patients or because of a generally worse health compared with the overall population has something that has not been evaluated until now. Propensity matching suggests that patients do not indeed suffer inherently from being homeless but are similar to equally ill-housed patients. Hence, the authors conclude that homelessness is problematic in that it prevents access to health care and results in a chronically ill cohort but that there is nothing inherently different about these patients or the care they should get in the ICU. Although these findings are of interest, there remain some questions about the matching of these patients. Indeed, matching patients’ illness severity and then suggesting that these patients benefit similarly from ICU care, which is based on a large part on treating that severity, could constitute a circular argument. Of course, there is no way to assess this because these patients are fit on their matching. For those of us who regularly care for homeless and poor patients, it does seem anecdotally as they lack prior care, and increased comorbidities result in a “sicker” patient and difficult outcomes. Perhaps matching via diagnosis or prospectively enrolling patients into an observational trial is warranted Only a larger cohort across multiple centers can assess whether the main finding of the article is an inherent truth or is a result of the matching methodology. Finally and worthy of considerable discussion is the issue of attributable risk. Indeed, the difference of modifiable risk (potentially due to housing status and socieoeconomic status) and non–modifiable risk (disease severity upon arrival in the ICU) and the dynamics of this risk (eg, whether the sequelae of homelessness can be addressed once the patient is in the ICU) are the crucial question illuminated by this important article. I hope that rather than fostering the belief that all patients are the same when they enter the ICU to be differentiated only upon their illness and severity, this article begins a larger discussion and analysis of the demographics and socieoeconomic impact on illness of similar severity.