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The early stage of chronic obstructive pulmonary disease (COPD) is not easily recognized. Screening tools can help to identify high-risk patients in primary care settings for spirometry and may be helpful in the early detection in COPD and management. This study aims to validate the PUMA questionnaire for use in Chinese primary care settings. This cross-sectional study recruited participants (≥40 years old, current or former smoker with ≥10 packs of cigarette per year) in primary health care clinics in Hong Kong. The Chinese version of the PUMA questionnaire was administered by trained research staff to participants awaiting consultation. COPD diagnosis was confirmed by spirometry (post-bronchodilator FEV1/FVC <0.70). A total 377 patients were recruited of which 373 completed the spirometry. The percentage of participants diagnosed with COPD (post-bronchodilator FEV1/FVC <0.70) was 27.1%. A higher PUMA score was more likely to have an advanced stage of GOLD classification (P = 0.013). The area under the ROC curve of the PUMA score was 0.753 (95%CI 0.698–0.807). The best cut-point according to Youden’s index for PUMA score was ≥6 with sensitivity 76.5%, specificity 63.3% and negative predictive value (NPV) 63.3%. A cut-off point of PUMA score ≥5 was selected due to higher sensitivity of 91.2%, specificity of 42.6% and high NPV of 92.7%. PUMA score performed better than CDQ and COPD-PS in the area under the ROC curve (0.753 versus 0.658 and 0.612 respectively), had higher sensitivity than COPD-PS (91.2% versus 61%) and had higher specificity than CDQ (42.6% versus 13.1%). The use of PUMA as a screening tool was feasible in Chinese primary care and can be conducted by trained staff and health professionals. The validation results showed high sensitivity and high NPV to identify high risk patient with COPD at cut-off point of ≥5. It can be useful for early detection and management of COPD.

Background/Objectives Most of the studies on functional outcomes in pediatric survivors of cancers and bone marrow failure disorders have been conducted in North American, European, and Oceanian populations, with few studies having been performed in China. The objective of this study was to evaluate psychosocial outcomes in a cohort of Chinese pediatric survivors diagnosed with cancer or conditions requiring hematopoietic stem cell transplantation (HSCT), and to identify clinical and behavioral factors associated with adverse psychosocial outcomes. Methods This was a cross-sectional survey study. We recruited pediatric survivors of cancer or inherited disorder requiring HSCT at ≤18 years old and were ≥6 months post-treatment. Parents completed the St. Jude Children’s Research Hospital After Completion of Therapy questionnaire to report their child’s emotional functioning, social functioning, attention/concentration and behavior. Multivariable general linear modeling was used to identify clinical, treatment and behavioral factors associated with psychosocial outcomes, adjusting for sex, age and cancer diagnoses. Results Ninety-five pediatric survivors were recruited (62.1% male; mean [standard deviation] age 9.7 [3.4] years; 4.1 [2.6] years post-diagnosis). They were diagnosed with bone marrow failure disorders (23.2%), hematological malignancies (45.3%) or solid tumors (23.2%). Compared with survivors with no current health problems, those with more than one current health problem performed worse in emotional functioning (Estimate = 2.42, SE = 0.88, P = 0.008) and social functioning (Estimate = 2.90, SE = 1.64, P = 0.03). Higher pain interference was significantly associated with worse emotional functioning (Estimate = 0.19, SE = 0.08, P = 0.03) and attention functioning (Estimate = 0.26, SE = 0.11, P = 0.03). Compared with survivors who reported less sleep problems, those who had more sleep problems demonstrated poorer emotional functioning (Estimate = 0.30, SE = 0.08, P = 0.001). Survivors who had a longer duration of screen usage per day reported more impairment on attention and behavior functioning than those who had a shorter duration of screen usage per day (both P<0.5). Conclusion Survivors who were diagnosed at a younger age or had unaddressed/untreated health problems may require additional psychological evaluation. The implementation of psychosocial assessments during routine long-term follow-up care may help to identify high-risk patients during the early phase of survivorship. Rehabilitation interventions should address modifiable behavioral factors (e.g. sleep habits, screen time and chronic pain).