An exploratory study evaluating the use of coping strategies while driving in obstructive sleep apnoea syndrome patients and controls.

Introduction: Sleepiness while driving is potentially fatal, and it is recommended that a driver who starts to feel tired should stop and have a rest. However, some may use various countermeasures to try to stay alert. We devised a questionnaire that assessed various potential coping strategies that might be used against fatigue and compared them between obstructive sleep apnoea syndrome (OSAS) patients and controls and with sleepiness in general (Epworth Sleepiness Scale (ESS)), specifically while driving (Driving Sleepiness Scale (DSS)) and driving incidents. Methods: 119 untreated OSAS patients (male 82%, body mass index (BMI) 37±8 kg·m-2, ESS 14±5, DSS 3±2, oxygen desaturation index (ODI) 39±15) and 105 controls (male 70%, BMI 28±6 kg·m-2, ESS 4±3, DSS 7±6) matched for age and driving experience were recruited. All completed a questionnaire relating to their experience over the last year, which included sleepiness in general, sleepiness specifically while driving, 10 questions about various coping strategies they might adopt in order to avoid sleepiness and their history of incidents while driving. Results: As compared to controls, nearly a third of OSAS patients (29.4%) used more than three coping strategies "frequently". OSAS patients who used more than three such strategies had worse ESS (17±4 versus 12±5, p<0.0001); were more likely to feel sleepy while driving (10±8 versus 5±7, p=0.0002) and had more reported accidents (22.85% versus 2.38%, p=0.0002) as compared to OSAS patients who used less than three strategies. There was no difference in patient demographics, severity of OSAS, driving experience or episodes of nodding at the wheel and reported near miss events. Conclusions: Untreated OSAS patients frequently use certain strategies which could be surrogate markers of sleepiness. Enquiring about such strategies in clinical practice may aid the clinician in identifying the patients who are at risk of driving incidents and to advise appropriately.

Successful Virtual CPAP Set up in Obstructive Sleep Apnoea: A positive innovation during the pandemic.

BACKGROUND: Traditionally continuous positive airways pressure (CPAP) trials for obstructive sleep apnoea (OSA) are through face to face (F2F) set up. During Covid-19 pandemic CPAP was classed as aerosol-generating hence Leeds sleep service moved to a virtual service. Patients received equipment by post followed by virtual reviews (VR). We evaluated the adherence and symptomatic benefit of postal compared to F2F method. METHODS: Observational data were collected from databases monitoring CPAP loans. F2F patients met a sleep technician for hands on setup in 2019, and in 2020 postal patients received equipment, written guides, and links to custom made YouTube videos. All (F2F and postal) patients had a telephone and VR appointment to discuss symptoms, and CPAP machine (AirSense 10, ResMed Inc., San Diego, USA) data including data on usage and treatment apnoea-hypopnoea index (AHI). Data was analysed using unpaired T-tests, Mann-Whitney U tests, and chi-square tests to examine differences in means, medians, and proportions, respectively of the F2F and postal groups. RESULTS: Both groups (n = 1,221, 656 F2F, 53.7%) were similar in all categories except length of CPAP trial (postal 33 vs F2F 84 days,p < 0.0001), change in AHI (postal 22.4/Hr vs F2F 25.1/Hr,p = 0.04), and trial average use (postal 4.9 vs F2F 5.2 h,p = 0.04). There was no significant difference in the proportion of patients continuing with CPAP (postal 64%, F2F 66%, p = 0.71), the improvement in Epworth Sleepiness Score (ESS) (postal 6.9/24, F2F 7.1/24, p = 0.31) or the patient's subjective rating on whether they felt much better, better, the same or worse on CPAP (p = 0.27). Logistic regression showed factors which affected odds ratios of continuing CPAP were diagnostic AHI, treatment AHI, treatment ESS and how they felt on CPAP. Trial type did not affect the odds ratios of continuing CPAP. CONCLUSIONS: Postal CPAP trial patients had similar odds of continuing CPAP therapy compared to patients with F2F trials and achieved similar levels of ESS improvement and reporting feeling better on CPAP. This provides support for postal trials as a viable option post-pandemic.

The severity of obstructive sleep apnoea does not influence ambient IGF-I levels.

OBJECTIVE: Obstructive sleep apnoea (OSA) is reported to have effects on a number of hormone systems including the hypothalamo-pituitary axis. We aimed to determine the impact of OSA severity on insulin-like growth factor-I (IGF-I) levels. DESIGN AND METHODS: This is a prospective cohort study performed between November 2014 and May 2017. IGF-I was measured on serum samples, and data were collected on demographics, BMI and parameters of OSA. RESULTS: 611 participants were recruited (202 female, 53.5 ± 12.5 years; mean BMI 36.2 ± 8.0 kg/m2 ). 26.2% had mild OSA; 27.3%, moderate OSA; and 44.5%, severe OSA. 15.2% of IGF-I values were below the age-related reference range. Increasing BMI correlated with greater AHI (r = .28, p < .001), ODI (r = .30, p < .001), severity of OSA (r = .17, p < .001), duration with oxygen saturation (SaO2 ) <90% (r = .29, p = .001) and reduced median SaO2 levels (r = .19, p < .001). IGF-I levels correlated negatively with age (r = -.13, p = .001), BMI (r = -.16, p < .001), diabetes (r = -.108, p = .009), AHI (r = -0.10, p = .043) and severity of OSA (r = -.10, p = .013). No association of IGF-I was observed with ODI, median SaO2 levels or duration of SaO2  < 90%. Regression analyses were used to examine determinants of IGF-I, all of which contained the independent variables of age, gender and BMI. All models showed IGF-I to be predicted by age and BMI (p < .05); however, none of the parameters of OSA were significant within these models. CONCLUSION: Insulin-like growth factor-I levels in OSA are dependent on age and BMI; however, no additional effect of any OSA parameter was observed, supporting the hypothesis that OSA effects on IGF-I are indirect through concomitant body composition and metabolic parameters.

Acute non-invasive ventilation - getting it right on the acute medical take.

Non-invasive ventilation (NIV) given to the right patient, in the right setting, in the right way and at the right time improves outcomes. However, national audits reveal poor practice in patient selection, clinical judgement, treatment initiation and availability of trained staff. NIV is indicated for persistent acute hypercapnic respiratory failure (AHRF) with acidosis after usual medical management in chronic obstructive pulmonary disease (COPD) exacerbation and even without acidosis in neuromuscular disorders or other restrictive conditions eg obesity hypoventilation or kyphoscoliosis. Having trained staff in a suitable environment with adequate equipment are keys to its success, along with close monitoring. A plan should be put in place at the time of initiating NIV about the ceiling of care, eg escalation to intubation or palliation, if the patient is not improving with NIV. Early NIV failure is most likely due to technical issues, such as inadequate pressures or mask leak, while late failure is usually the consequence of advanced disease. Any presentation with AHRF is a poor prognostic indicator and outpatient respiratory follow-up is indicated following discharge. For selected patients with COPD who remain hypercapnic 2 weeks after an exacerbation, domiciliary NIV can reduce admissions and improve survival. For patients with neuromuscular disorders or kyphoscoliosis a presentation with AHRF almost always indicates the need for domiciliary NIV.

Level of accuracy of diagnoses recorded in discharge summaries: A cohort study in three respiratory wards.

RATIONALE: One of the key functions of the discharge summary is to convey accurate diagnostic description of patients. Inaccurate or missing diagnoses may result in a false clinical picture, inappropriate management, poor quality of care, and a higher risk of re-admission. While several studies have investigated the presence or absence of diagnoses within discharge summaries, there are very few published studies assessing the accuracy of these diagnoses. The aim of this study was to measure the accuracy of diagnoses recorded in sample summaries, and to determine if it was correlated with the type of diagnoses (eg, "respiratory" diagnoses), the number of diagnoses, or the length of patient stay. METHODS: A prospective cohort study was conducted in three respiratory wards in a large UK NHS Teaching Hospital. We determined the reference list of diagnoses (the closest to the true state of the patient based on consultant knowledge, patient records, and laboratory investigations) for comparison with the diagnoses recorded in a discharge summary. To enable objective comparison, all patient diagnoses were encoded using a standardized terminology (ICD-10). Inaccuracy of the primary diagnosis alone and all diagnoses in discharge summaries was measured and then correlated with type of diseases, number of diagnoses, and length of patient stay. RESULTS: A total of 107 of 110 consecutive discharge summaries were analysed. The mean inaccuracy rate per discharge summary was 55% [95% CI 52 to 58%]. Primary diagnoses were wrong, inaccurate, missing, or mis-recorded as a secondary diagnosis in half the summaries. The inaccuracy rate was correlated with the type of disease but not with number of diagnoses nor length of patient stay. CONCLUSION: Our study showed that diagnoses were not accurately recorded in discharge summaries, highlighting the need to measure and improve discharge summary quality.

The impact of three discharge coding methods on the accuracy of diagnostic coding and hospital reimbursement for inpatient medical care.

BACKGROUND: Coding of diagnoses is important for patient care, hospital management and research. However coding accuracy is often poor and may reflect methods of coding. This study investigates the impact of three alternative coding methods on the inaccuracy of diagnosis codes and hospital reimbursement. METHODS: Comparisons of coding inaccuracy were made between a list of coded diagnoses obtained by a coder using (i)the discharge summary alone, (ii)case notes and discharge summary, and (iii)discharge summary with the addition of medical input. For each method, inaccuracy was determined for the primary, secondary diagnoses, Healthcare Resource Group (HRG) and estimated hospital reimbursement. These data were then compared with a gold standard derived by a consultant and coder. RESULTS: 107 consecutive patient discharges were analysed. Inaccuracy of diagnosis codes was highest when a coder used the discharge summary alone, and decreased significantly when the coder used the case notes (70% vs 58% respectively, p < 0.0001) or coded from the discharge summary with medical support (70% vs 60% respectively, p < 0.0001). When compared with the gold standard, the percentage of incorrect HRGs was 42% for discharge summary alone, 31% for coding with case notes, and 35% for coding with medical support. The three coding methods resulted in an annual estimated loss of hospital remuneration of between £1.8 M and £16.5 M. CONCLUSION: The accuracy of diagnosis codes and percentage of correct HRGs improved when coders used either case notes or medical support in addition to the discharge summary. Further emphasis needs to be placed on improving the standard of information recorded in discharge summaries.

Looking under the bonnet of patient-ventilator asynchrony during noninvasive ventilation: does it add value?

During noninvasive ventilation it is reasonable to try to abolish clinically apparent patient-ventilator asynchronies but the use of more invasive tests to detect subtle asynchronies cannot be justified http://ow.ly/rXoA30gCm8O.

European Union directive 2014/85/EU on driver licensing in obstructive sleep apnoea: early experiences with its application in the UK.

OSA patients' risk of RTA should be assessed using detailed driving history with specific focus on "red flags" http://ow.ly/mxPi305isni.

Factors that affect simulated driving in patients with obstructive sleep apnoea.

Objective data for advising sleep apnoea sufferers whether they are at increased risk of an accident when driving http://ow.ly/TWPgm.

Identifying poor compliance with CPAP in obstructive sleep apnoea: a simple prediction equation using data after a two week trial.

INTRODUCTION: It is important to identify those patients with OSA who are likely to benefit from long term CPAP, not only for symptomatic relief, but also potentially to reduce vascular morbidity and mortality, but are unlikely to adhere to treatment. We have validated a model which we developed previously for predicting long term compliance with CPAP using data after a 2 week trial. METHODS: The model was applied retrospectively to patients undergoing a trial of CPAP. Predicted outcomes were compared with the actual outcomes. RESULTS: Prediction equation was applied to 448 patients [77% males, Age 53 ± 11 years, ESS 14 ± 4, AHI 37 ± 24]. Of 407 patients included in the study 333 were issued a CPAP and 74 declined long term CPAP. At one year, 81% patients were using CPAP at least 2 h and 70% > 4 h. A score >50% from the equation was associated with a high probability of CPAP usage at one year. 295 patients had a probability score of >50% and of them 84% were using CPAP satisfactorily at 1 year. The sensitivity in identifying compliers was 91%. Of the 112 patients with a score ≤50%, 38 opted to accept CPAP and 60% of them were still using it at 1 year. CONCLUSIONS: This simple equation has now been validated to be highly sensitive in identifying long term compliers and it also identifies those with worse compliance. This group could be targeted for a more intensive follow up regime with the aim of improving their compliance.

Continuous measures of driving performance on an advanced office-based driving simulator can be used to predict simulator task failure in patients with obstructive sleep apnoea syndrome.

INTRODUCTION: Some patients with obstructive sleep apnoea syndrome are at higher risk of being involved in road traffic accidents. It has not been possible to identify this group from clinical and polysomnographic information or using simple simulators. We explore the possibility of identifying this group from variables generated in an advanced PC-based driving simulator. METHODS: All patients performed a 90 km motorway driving simulation. Two events were programmed to trigger evasive actions, one subtle and an alert driver should not crash, while for the other, even a fully alert driver might crash. Simulator parameters including standard deviation of lane position (SDLP) and reaction times at the veer event (VeerRT) were recorded. There were three possible outcomes: 'fail', 'indeterminate' and 'pass'. An exploratory study identified the simulator parameters predicting a 'fail' by regression analysis and this was then validated prospectively. RESULTS: 72 patients were included in the exploratory phase and 133 patients in the validation phase. 65 (32%) patients completed the run without any incidents, 45 (22%) failed, 95 (46%) were indeterminate. Prediction models using SDLP and VeerRT could predict 'fails' with a sensitivity of 82% and specificity of 96%. The models were subsequently confirmed in the validation phase. CONCLUSIONS: Using continuously measured variables it has been possible to identify, with a high degree of accuracy, a subset of patients with obstructive sleep apnoea syndrome who fail a simulated driving test. This has the potential to identify at-risk drivers and improve the reliability of a clinician's decision-making.

Validation of the English Severe Respiratory Insufficiency Questionnaire.

Assessment of health-related quality of life in patients with respiratory failure on home ventilation requires appropriate and highly specific measurement tools. We attempt to validate the English version of the Severe Respiratory Insufficiency Questionnaire (SRI). Psychometric properties of the SRI in 152 patients established on home ventilation were assessed. Cronbach's alpha ranged between 0.77 and 0.89 for the seven subscales and and was 0.93 for the summary scale. Principal components analysis revealed a one-factor solution for four and two factors for three subscales. Confirmatory factor analysis revealed a two-factor solution for six subscales, but these factors were dependent on each other. One factor was extracted out of the subscales confirming one summary scale accounting for 70% of the total variance. Correlation analysis between scales of the SRI and the Medical Outcome Study 36-item short-form health survey demonstrated highest correlations between comparable subscales. Chronic obstructive pulmonary disease patients had lower summary scale scores than patients with restrictive chest wall diseases, neuromuscular disorders and obesity hypoventilation syndrome. The English SRI has high internal consistency reliability, clearly established construct and concurrent validity, and is capable of differentiating between different diseases. It is now validated for use in research involving patients receiving home ventilation.