RESUMO
BACKGROUND: We describe implementation of a clinical decision support system, a computer-guided consultation (CGC), in the assessment of subjects referred with suspected obstructive sleep apnoea syndrome (OSAS). METHODS: Two cohorts of patients were assessed. The first 100 cases had data collected with the CGC by a specialist sleep physician (stage1). A further 100 cases were assessed by a nonspecialist using the CGC (stage 2). For each case, the diagnosis suggested by the CGC was compared with the final diagnosis made by a second specialist sleep physician blinded to the CGC diagnosis. RESULTS: Stage 1: of 100 people evaluated, a final diagnosis of OSAS was made by both the sleep specialist and CGC in 88% of cases. In 7 of the remaining 12 cases, both agreed there was "No evidence of OSAS"; in 5 cases the CGC did not reach a final diagnosis instead prompting specialist referral. Stage 2: 100 people were evaluated; 95% were evaluable. Both CGC and the sleep specialist made a diagnosis of OSAS in 83 cases (87%), in 5 cases both agreed there was no OSAS, whereas in 7 cases the CGC prompted a specialist review due to unexplained symptoms. The CGC was concordant with the final diagnosis in 95% and 93% of cases in the two cohorts, respectively and where there was doubt, prompted for clinical review. No OSAS cases were overlooked by the CGC. CONCLUSION: An intelligent CGC program creates opportunities in sleep medicine management pathways to safely yet effectively utilise nonspecialists working under specialist supervision.
RESUMO
Over the last 20 years smoking has become the most common method of heroin use and increasing numbers of heroin smokers are presenting to local medical services, before the age of 40 years, with severe airway disease. To determine COPD prevalence we recruited 129 subjects from two local community drug services, of whom 107 were heroin smokers. We collected demographic, medical and treatment data, smoking history (including cannabis and opiates) and details of symptoms including MRC dyspnoea. Subjects completed the COPD Assessment Tool and spirometry. Thirty heroin smokers were identified as having COPD resulting in a COPD prevalence of 28%. Mean age was 43 (4) years and FEV1 was 2.71 (0.98) L; 70 (23) %predicted. Breathlessness and wheeze were more common in subjects with COPD (p < 0.04 and p < 0.05) but symptoms were common in all heroin smokers. MRC score was higher (3 vs. 2.4; p < 0.04) in those with COPD and health status appeared poorer (CAT 20.4 vs. 15.8; p < 0.07). Only 4 (11%) had previously been diagnosed with COPD and only 16 (53%) received any inhaled medication. Asthma prevalence was also high at 33% and asthmatic subjects had similar symptoms and health status compared with the COPD subjects, and were also significantly undertreated. COPD and asthma are common in current and former heroin smokers. They are often present at a young age and are underdiagnosed and undertreated. Awareness of this issue should be highlighted within drug services and in particular to heroin smokers. Screening this high-risk population with spirometry should be considered.
