Conectar
by Sanne H. B. van Dijk, Marjolein G. J. Brusse-Keizer, Bente Rodenburg, Anke Lenferink
IntroductionComorbidities significantly complicate COPD management. Remote monitoring could aid real-time disease and symptom management, assisting both patients with multimorbidity and healthcare professionals (HCPs). This study aimed to explore how insight in patterns of symptom deterioration, derived from remote monitoring, could enhance multimorbid COPD management as perceived by patients and HCPs.
MethodsUsing daily symptom data collected via a mobile diary in the prospective RE-SAMPLE cohort study, patterns of symptom deterioration of COPD, chronic heart failure, anxiety, and depression were visualized per patient (follow-up duration of ≥4 months). Semi-structured individual interviews were conducted with Dutch patients with COPD and ≥1 comorbidity, and with HCPs from pulmonology, cardiology, and medical psychology who were involved in care for patients with multimorbidity. Interviews addressed current multimorbid COPD management, its challenges, and the way pattern visualizations of symptoms deterioration could support disease management. Transcripts were thematically analyzed using an inductive approach.
Results7 patients (69–80 years, 4 men) and 7 HCPs were interviewed in the hospital (patients and HCPs), at home (patients) or online (HCPs). Three overarching themes were identified, representing the elements of multimorbid COPD management that could be supported by the pattern visualizations: 1) relationship between diseases, 2) decision-making, and 3) self-management. According to patients and HCPs, pattern visualizations can be an informative source to explain the relation between COPD and comorbidities, function as a conversation starter facilitating communication between patients and HCPs as well as between medical disciplines, and educate patients in adequately recognizing their care needs.
ConclusionThree elements of personalized multimorbid COPD management were identified through qualitative analysis, which can all be supported by visualizing patterns of symptom deterioration via remote monitoring. The visualizations could enhance patients’ understanding of their diseases, improve shared decision-making, improve in-hospital multidisciplinary collaboration, and support multimorbid COPD (self-)management.
This study compared the reliability of two metabolic cart systems, Vyntus CPX and Vmax Encore 29N, to measure whole-body energy metabolism by indirect calorimetry (IC) in individuals with type 2 diabetes (T2D).
Randomised, prospective, crossover study.
Single-centre study conducted in the clinical research centre of the German Diabetes Study (GDS).
Five participants (3 men, 2 women, mean age 49±6 years, body mass index (BMI) 32.62±4.2 kg/m²) with T2D completed the study protocol. Eligibility requires existing participation in GDS and availability for four consecutive study days.
Participants underwent four IC measurements per day on four consecutive days, totalling 16 measurements per device. On each study day, two measurements with both devices, Vyntus CPX and Vmax Encore 29N, were performed in randomised order. Postcalorimetric gas calibration with normalisation was applied after each measurement.
Reliability of respiratory quotient (RQ) and resting energy expenditure (REE), as assessed from the coefficient of variation (CV) and 95% CIs.
Device comparison showed minor differences in CV (95% CI) for carbon dioxide production (VCO2) (3.5% vs 5.3%; 95% CI –8.2% to 8.0%), oxygen consumption (VO2) (3.4% vs 5.7%; 95% CI –9.3% to 8.2%), RQ (3.6% vs 2.3%; 95% CI –3.5% to 3.7%) and REE (3.1% vs 5.6%; 95% CI –8.4% to 7.8%). Postcalorimetric calibration did not consistently affect RQ or REE.
Vyntus CPX provides reliable IC measurements comparable to Vmax Encore 29N and may serve as a suitable replacement in clinical settings.
ClinicalTrials.gov identifier: NCT01055093.
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