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Lapland, Finland

Toljamo T.,Lapland Central Hospital | Kaukonen M.,Lapland Central Hospital | Nieminen P.,University of Oulu | Kinnula V.L.,University of Helsinki
Scandinavian Journal of Primary Health Care | Year: 2010

Objective. Though the prevalence of COPD is related to the definition, even with this proviso COPD remains under-diagnosed. Screening can detect many new COPD cases, but its effects on smoking cessation remain unknown. Design. To evaluate symptoms in "healthy" cigarette smokers, to screen new COPD cases using international and national guidelines, and to assess the success of a smoking cessation. Subjects. Healthy asymptomatic smokers with a >20 pack-years smoking history were recruited. The first visit included a standardized personal interview, Fagerstom nicotine dependence test (FNDT) and individualized smoking counselling by Motivational Interviewing. At the follow-up visit two years later, the same analyses were repeated and smoking status assessed. To avoid bias in the counselling attributable to spirometry, the test was evaluated at the two-year follow-up assessment. Results. Almost all, 93.2%, of 584 participants attended the second visit. Spirometry revealed COPD by GOLD criteria in 11.0% and by national guidelines in 15.3%, mid-expiratory flow (MEF50) had significantly declined in 19.5%, chronic cough or sputum production was detected in 62% of the subjects. After two years, 23.3% had succeeded in giving up smoking. There were four predictors of successful quitting, i.e. positive attitude to the intervention, pharmacotherapy, older age, and higher BMI, whereas other factors such as cough, obstruction, gender, pack-years, or nicotine dependence showed no association with ability to achieve successful cessation. Conclusion. Significant numbers of "healthy" smokers experience symptoms, according to detailed questionnaires, and have COPD. Motivation is the most significant factor in determining the chance of stopping smoking. © 2010 Informa UK Ltd. Source


Andersen H.,Vaasa Central Hospital | Lampela P.,Hyvinkaa Health Center | Nevanlinna A.,University of Helsinki | Saynajakangas O.,Lapland Central Hospital | Keistinen T.,University of Oulu
Clinical Respiratory Journal | Year: 2013

Background: Overlap syndrome of asthma and chronic obstructive pulmonary disease (COPD) is a common condition, which is not well understood. This study describes the characteristics and hospital impact of patients suffering from this condition. Methods: The data are comprised of the hospital discharge registry data maintained by National Institute for Health and Welfare [Terveyden ja hyvinvoinnin laitos (THL)] between 1972 and 2009 covering the entire Finnish population (5.35 million inhabitants in 2009). In THL, treatment periods for patients with the primary or secondary diagnosis of asthma or COPD were selected. From that data, patients over 34 years and their treatment periods starting and ending 2000-2009 with a principal or secondary diagnosis of asthma [International Classification of Diseases (ICD) 10: J45-J46] or COPD (ICD 10: J41-J44) were picked up. There were 105122 such patients who had 343420 treatment periods altogether. Results: Patients with asthma were younger than patients with COPD and overlap syndrome, while COPD and overlap syndrome patients' age distribution was very similar. Patients with both asthma and COPD had 30.4% of all treatment periods, even though the percentage of all patients in this group was only 16.1%. These patients had an increased number of hospitalisation episodes across all age groups. Average number of treatment periods during 2000-2009 was 2.1 in asthma, 3.4 in COPD and 6.0 in overlap syndrome. Hospital impact of the same period in asthma was 939900 days in COPD 1517308 and 1000724 days in overlap syndrome. Conclusion: Overlap syndrome of asthma and COPD is a common condition with high hospital impact for patients with this condition. © 2013 John Wiley & Sons Ltd. Source


Laukkanen J.A.,University of Eastern Finland | Makikallio T.H.,Lapland Central Hospital | Makikallio T.H.,University of Oulu | Ronkainen K.,University of Eastern Finland | And 2 more authors.
Diabetes Care | Year: 2013

OBJECTIVE-The aimof the study was to determine whether impaired fasting plasma glucose (FPG) and type 2 diabetes may be risk factors for sudden cardiac death (SCD). RESEARCH DESIGN AND METHODS-This prospective study was based on 2,641 middle-aged men 42-60 years of age at baseline. Impaired FPG level (≥5.6 mmol/L) among nondiabetic subjects (501 men) was defined according to the established guidelines, and the group with type 2 diabetes included subjects (159 men) who were treated with oral hypoglycemic agents, insulin therapy, and/or diet. RESULTS-During the 19-year follow-up, a total of 190 SCDs occurred. The relative risk (RR) for SCD was 1.51-fold (95% CI 1.07-2.14, P = 0.020) for nondiabetic men with impaired FPG and 2.86-fold (1.87-4.38, P < 0.001) for men with type 2 diabetes as compared with men with normal FPG levels, after adjustment for age, BMI, systolic blood pressure, serumLDL cholesterol, smoking, prevalent coronary heart disease (CHD), and family history of CHD. The respective RRs for out-of-hospital SCDs (157 deaths) were 1.79-fold (1.24-2.58, P = 0.001) for nondiabetic men with impaired FPG and 2.26-fold (1.34-3.77, P < 0.001) for men with type 2 diabetes. Impaired FPG and type 2 diabetes were associated with the risk of all-cause death. As a continuous variable, a 1 mmol/L increment in FPG was related to an increase of 10% in the risk of SCD (1.10 [1.04-1.20], P = 0.001). CONCLUSIONS-Impaired FPG and type 2 diabetes represent risk factors for SCD. © 2013 by the American Diabetes Association. Source


Kauranen T.,University of Helsinki | Turunen K.,University of Helsinki | Laari S.,University of Helsinki | Mustanoja S.,University of Helsinki | And 2 more authors.
Journal of Neurology, Neurosurgery and Psychiatry | Year: 2013

Background: The inability of stroke patients to return to work contributes disproportionately to the socioeconomic impact of stroke and is best predicted by the severity of stroke. However, the role of cognitive deficits in stroke severity has not been scrutinised. We studied whether the initial cognitive severity of stroke, compared with other influential factors, predicts the inability to return to work after stroke. Methods: Consecutive patients aged 18e65 with a first-ever ischaemic stroke, working full time previously, were assessed neuropsychologically within the first weeks after stroke and at the 6-month follow-up. Similarly, 50 healthy demographic controls were assessed twice. The cognitive severity of stroke was operationalised as the number of initial cognitive deficits. Cognitive severity as a predictor of the inability to return to work was compared with demographic, occupational, neurological, radiological and functional data, vascular risk factors and mood state. Results: The mean age of the 140 patients assessed both initially and at follow-up was 52 years. They had a mean of 13 years of education and 59% were men. At 6 months, only 41% of the patients had returned to work despite the relatively minor neurological and functional impairments of the cohort. In our model, the number of early cognitive deficits (OR=2.252, CI 1.294 to 3.918) was the only significant predictor of the inability to return to work. Conclusions: The initial cognitive severity of stroke predicts the later inability to return to work. The benefits of neuropsychological assessments within the first weeks after stroke are emphasised. Source


Kauranen T.,University of Helsinki | Laari S.,University of Helsinki | Turunen K.,University of Helsinki | Mustanoja S.,University of Helsinki | And 2 more authors.
Journal of Neurology, Neurosurgery and Psychiatry | Year: 2014

Background We aim to facilitate recognition of the cognitive burden of stroke by describing the parallels between cognitive deficits and the National Institutes of Health Stroke Scale (NIHSS), a widely used measure of stroke severity. Methods A consecutive cohort of 223 working-age patients with an acute first-ever ischaemic stroke was assessed neuropsychologically within the first weeks after stroke and at a 6-months follow-up visit and compared with 50 healthy demographic controls. The NIHSS was administered at the time of hospital admittance and upon discharge from the acute care unit. The associations between total NIHSS scores and domain-specific cognitive deficits were analysed correlatively and with a binary logistic regression. Results Of the NIHSS measurements (admittance median=3, range 0-24; discharge median=1, range 0-13), the total score at the time of discharge had systematically stronger correlations with cognitive impairment. Adjusted for demographics, the NIHSS discharge score stably predicted every cognitive deficit with ORs ranging from 1.4 (95% CI 1.2 to 1.6) for episodic memory to 1.9 (95% CI 1.5 to 2.3) for motor skills. The specificities of the models ranged from 89.5-97.7%, but the sensitivities were as low as 11.6-47.9%. Cognitive deficits were found in 41% of patients with intact NIHSS scores and in all patients with NIHSS scores ≥4, a finding that could not be accounted for by confounding factors. Conclusions Cognitive deficits were common even in patients with the lowest NIHSS scores. Thus, low NIHSS scores are not effective indicators of good cognitive outcomes after stroke. Source

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