Objective:Sleep quality in kidney transplant recipients is closely associated with symptoms of fatigue and depression.Although subjective assessment tools like the Pittsburgh Sleep Quality Index and the Richards-Campb...Objective:Sleep quality in kidney transplant recipients is closely associated with symptoms of fatigue and depression.Although subjective assessment tools like the Pittsburgh Sleep Quality Index and the Richards-Campbell Sleep Questionnaire(RCSQ)are widely used to evaluate sleep quality,there is a lack of studies utilizing polysomnography for objective evaluation.This study aims to investigate the correlation between sleep quality,fatigue,and depression in kidney transplant recipients using both subjective and objective methods,providing scientific evidence for improving their quality of life.Methods:The cross-sectional study conveniently sampled 50 kidney transplant recipients from a transplant center in a general hospital between August 2018 and March 2020.Subjective and objective sleep parameters were evaluated using the RCQS and polysomnography,respectively.The Fatigue Severity Scale was used to assess fatigue,and the Hamilton Depression Scale was employed to measure depression levels.Results:A lower proportion of rapid eye movement(REM)sleep was associated with increased fatigue.Additionally,higher wake time percentages and poorer sleep quality were significantly correlated with greater depression severity.Conclusion:This study underscores the critical importance of effectively managing sleep quality in kidney transplant recipients and addressing their fatigue and depression symptoms.These findings lay a foundation for developing targeted nursing and therapeutic strategies.展开更多
Objective:Urinary calculi are characterized by a high recurrence rate,and patients’adherence to self-management after discharge directly affects health outcomes.Traditional offline follow-up models often face problem...Objective:Urinary calculi are characterized by a high recurrence rate,and patients’adherence to self-management after discharge directly affects health outcomes.Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources,making it difficult to meet individualized health management needs.Remote follow-up provides a novel solution to optimize long-term management,improve health literacy,and enhance clinical outcomes.This study aims to evaluate the effect of remote follow-up under an intelligent medical collaborative model on quality of life and health-promoting lifestyle in patients with urinary calculi,and to assess its short-term impact on clinical outcomes.Methods:A total of 118 patients with urinary calculi admitted to a tertiary hospital in Hunan Province between August and November 2024 were recruited and randomly assigned to a control group(n=59)or an intervention group(n=59).The control group received routine departmental follow-up,while the intervention group underwent remote follow-up based on an intelligent medical collaborative model for one month.Assessments were conducted before discharge(T0),15 days after discharge(T1),and one month after discharge(T2),using the Wisconsin Stone Quality of Life Questionnaire and the Health-Promoting Lifestyle Profile.At T2,the incidence of forgotten ureteral stents(FUS),ureteral stent-related complications,unplanned readmissions,and patient satisfaction were evaluated.Results:No significant differences were observed between groups at T0 in baseline characteristics or outcome measures(all P>0.05).At T1 and T2,the intervention group had significantly higher health-related quality of life scores than the control group(P<0.05).Generalized estimating equation(GEE)analysis showed significant between-group effects(Wald's χ^(2)=22.961,P<0.001),time effects(Wald's χ^(2)=23.065,P<0.001),and interaction effects(Wald's χ^(2)=6.930,P<0.05).Similarly,at T1 and T2,the intervention group scored significantly higher on health-promoting lifestyle than the control group(P<0.05),with significant between-group effects(Wald's χ^(2)=22.936,P<0.001),time effects(Wald's χ^(2)=10.694,P<0.001),and interaction effects(Wald's χ^(2)=18.921,P<0.05).No significant differences were found between groups in the incidence of FUS,ureteral stent-related complications,or unplanned readmissions(all P>0.05).Patient satisfaction was significantly higher in the intervention group(t=4.089,P<0.001).Conclusion:Remote follow-up under an intelligent medical collaborative model helps improve quality of life,promote health-oriented lifestyles,and enhance patient satisfaction among individuals with urinary calculi.展开更多
基金supported by the Clinical Medical Technology Innovation Guide Project of Hunan Province,China(2020SK53609).
文摘Objective:Sleep quality in kidney transplant recipients is closely associated with symptoms of fatigue and depression.Although subjective assessment tools like the Pittsburgh Sleep Quality Index and the Richards-Campbell Sleep Questionnaire(RCSQ)are widely used to evaluate sleep quality,there is a lack of studies utilizing polysomnography for objective evaluation.This study aims to investigate the correlation between sleep quality,fatigue,and depression in kidney transplant recipients using both subjective and objective methods,providing scientific evidence for improving their quality of life.Methods:The cross-sectional study conveniently sampled 50 kidney transplant recipients from a transplant center in a general hospital between August 2018 and March 2020.Subjective and objective sleep parameters were evaluated using the RCQS and polysomnography,respectively.The Fatigue Severity Scale was used to assess fatigue,and the Hamilton Depression Scale was employed to measure depression levels.Results:A lower proportion of rapid eye movement(REM)sleep was associated with increased fatigue.Additionally,higher wake time percentages and poorer sleep quality were significantly correlated with greater depression severity.Conclusion:This study underscores the critical importance of effectively managing sleep quality in kidney transplant recipients and addressing their fatigue and depression symptoms.These findings lay a foundation for developing targeted nursing and therapeutic strategies.
基金supported by the Innovation Platform’s Open Foundation of Education Department of Hunan Province(18K004)the Natural Science Foundation of Hunan Province(2025JJ50508),China.
文摘Objective:Urinary calculi are characterized by a high recurrence rate,and patients’adherence to self-management after discharge directly affects health outcomes.Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources,making it difficult to meet individualized health management needs.Remote follow-up provides a novel solution to optimize long-term management,improve health literacy,and enhance clinical outcomes.This study aims to evaluate the effect of remote follow-up under an intelligent medical collaborative model on quality of life and health-promoting lifestyle in patients with urinary calculi,and to assess its short-term impact on clinical outcomes.Methods:A total of 118 patients with urinary calculi admitted to a tertiary hospital in Hunan Province between August and November 2024 were recruited and randomly assigned to a control group(n=59)or an intervention group(n=59).The control group received routine departmental follow-up,while the intervention group underwent remote follow-up based on an intelligent medical collaborative model for one month.Assessments were conducted before discharge(T0),15 days after discharge(T1),and one month after discharge(T2),using the Wisconsin Stone Quality of Life Questionnaire and the Health-Promoting Lifestyle Profile.At T2,the incidence of forgotten ureteral stents(FUS),ureteral stent-related complications,unplanned readmissions,and patient satisfaction were evaluated.Results:No significant differences were observed between groups at T0 in baseline characteristics or outcome measures(all P>0.05).At T1 and T2,the intervention group had significantly higher health-related quality of life scores than the control group(P<0.05).Generalized estimating equation(GEE)analysis showed significant between-group effects(Wald's χ^(2)=22.961,P<0.001),time effects(Wald's χ^(2)=23.065,P<0.001),and interaction effects(Wald's χ^(2)=6.930,P<0.05).Similarly,at T1 and T2,the intervention group scored significantly higher on health-promoting lifestyle than the control group(P<0.05),with significant between-group effects(Wald's χ^(2)=22.936,P<0.001),time effects(Wald's χ^(2)=10.694,P<0.001),and interaction effects(Wald's χ^(2)=18.921,P<0.05).No significant differences were found between groups in the incidence of FUS,ureteral stent-related complications,or unplanned readmissions(all P>0.05).Patient satisfaction was significantly higher in the intervention group(t=4.089,P<0.001).Conclusion:Remote follow-up under an intelligent medical collaborative model helps improve quality of life,promote health-oriented lifestyles,and enhance patient satisfaction among individuals with urinary calculi.
