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• W2891668189 abstract "10046 Background: The SIPAT is used to assess psychosocial risk in solid organ transplants but data in HSCT is lacking. We examined if pre-HSCT SIPAT scores predict mortality, morbidity, length of stay (LOS) and number of hospitalizations over a 1 year period. Methods: 89 adult HSCT (59% autologous, 38% allogeneic) pts from an academic medical center underwent the SIPAT pre-HSCT. Additional data were obtained on Day 0, and 3-, 6-, and 12-months. Univariable Cox proportional hazards models assessed the instantaneous risk of mortality at any given time after Day 0 as a function of baseline pt characteristics and the SIPAT score. Results: TheSIPAT categorized 28%, 66% and 5.7% respectively of the pts as excellent (E), good (G), and high risk (HR) candidates. One year post HSCT, 76% of E, 72% of G, and 40% of HR candidates were alive. Higher SIPAT scores were a significant predictor of mortality. Compared to E candidates, the HR candidates were 5.94 (95% CI: 1.31-26.81) times more likely to die any time after Day 0 – even after controlling for pts’ comorbidity index ( p = .02). Similarly, compared to G candidates, HR pts were 4.81 (95% CI: 1.33-17.47) times more likely to die even after controlling for pts’ comorbidity index ( p = .01). There was no difference between the G and E candidates on univariable ( p = .75) or multivariable analysis controlling for comorbidity index score ( p = .72). For every 1 point increase in pts’ adherence score, the risk of death was expected to decline by approximately 14% ( HR = 0.86, 95% CI: 0.78 – 0.96; p = .01). SIPAT items that predicted mortality were depression ( p = .02), deceptive behavior ( p < .001) and moderate alcohol abuse ( p < .001). In linear regression analysis, higher SIPAT score was associated with longer LOS ( p = .04) but not infection ( p = .23), GVHD ( p = .40), or number of hospitalizations ( p = .73). Because there were only 18 mortality events, multivariable analyses were limited. Future research will examine the effect of SIPAT on time to death controlling for other pt comorbidities. Conclusions: We found the SIPAT was able to predict mortality and LOS in HSCT pts. This finding if validated in a multi-center manner could be an important tool for HSCT pt selection." @default.
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• W2891668189 date "2017-05-20" @default.
• W2891668189 modified "2023-09-23" @default.
• W2891668189 title "Utility of the Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) in hematopoietic stem cell transplantation (HSCT)." @default.
• W2891668189 doi "https://doi.org/10.1200/jco.2017.35.15_suppl.10046" @default.
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