Longitudinal Trajectories of Clean Intermittent Catheterization Responsibility in Youths with Spina Bifida

Trajectories of self-management and independence in youth with spina bifida: Demographic predictors of growth

AIM

The purpose of this study was to examine the trajectories of condition and independent living self-management in youth with spina bifida (SB).

METHODS

A diverse sample of adolescents and young adults (AYAs) with SB completed the Adolescent/Young Adult Self-Management and Independence Scale (AMIS-II) across four time points. Parents reported on demographic characteristics including age, sex, race/ethnicity, and family income. Growth in self-management and its subscales (condition and independent living) were estimated using linear mixed-effect models as a function of respondents' demographics.

RESULTS

This study included 99 respondents age 18 to 27 years old. About half were female (52.5%) and White (52.5%); 15.2% were Black, and about a third were Hispanic/Latino (32.3%). Eighty-seven AYAs (87.9%) had myelomeningocele. The lesion level was 31.3% sacral, 48.5% lumbar and 18.2% thoracic. A third of the families earned less than 50K. Overall, self-management growth was dependent on age, sex, and race/ethnicity, but not income. Growth in condition self-management depended on sex; only males demonstrated increasing growth ( β ̂  = 0.11, p < 0.001). Black participants endorsed higher increasing total and condition self-management when compared with White ( β ̂ diff  = 0.17 and 0.17, respectively, both p < 0.05) and Hispanic/Latino ( β ̂ diff  = 0.18 and 0.21, respectively, both p = 0.02) respondents.

CONCLUSION

This study provides evidence of differences in growth of self-management by demographic/social determinants of health. Possible reasons for differences are discussed. Predictors of changes in self-management behaviours over time in young adults with SB can identify subgroups in need of further study.

Dynamic trajectory of platelet counts after the first cycle of induction chemotherapy in AML patients

Background

Platelet counts varied over time after induction chemotherapy. We aimed to investigate the different trajectories of platelet counts after the first cycle of induction chemotherapy in patients newly diagnosed with acute myeloid leukemia.

Methods and results

In total, 149 individuals were included in this study. We identified four distinct trajectories using a group-based trajectory model: low- stability group (n = 27, 18.12%), low-level decrease–medium elevation group (n = 42, 28.19%), low-level decrease–high elevation group (n = 60, 40.27%), and high-level decrease–medium elevation group (n = 20, 13.42%). The baseline characteristics of the high-level decrease–medium elevation group included higher platelet count, lower white blood cell count, lower percentage of bone marrow blasts, and lower rates of complete remission after the first cycle of induction chemotherapy. Compared with the low-stability group, the hazard ratios were 0.32 (95% confidence interval, 0.15–0.68) for the low-level decrease–medium elevation group, 0.31 (95% confidence interval, 0.15–0.63) for the low-level decrease–high elevation group, and 0.35 (95% confidence interval, 0.13–0.89) for the high-level decrease–medium elevation group after adjustment for age and gender by Cox proportional hazard regression. Compared with the low-stability group, the hazard ratios were 0.33 (95% confidence interval, 0.14–0.77) for the low-level decrease–medium elevation group and 0.31 (95% confidence interval, 0.14–0.67) for the low-level decrease–high elevation group after adjustment for age, gender, white blood cell count, and bone marrow blasts. These associations persisted after adjusting for age, gender, white blood cell count, bone marrow blasts, and platelet count.

Conclusion

The dynamic trajectory of platelet counts after the first cycle of induction chemotherapy is a significant predictor of all-cause mortality in patients with acute myeloid leukemia. Timely intervention should be considered for the low-stability group. The low-level decrease–medium elevation and low-level decrease-high elevation groups were independent protective factors for all-cause mortality.