We investigated the stability of T2 low status, based on low levels of T2 biomarkers, and exacerbation rates in T2 low and non-T2 low asthma from clinical retrospective data of severe uncontrolled asthma patients. Knowledge of the T2 low biomarker profile is sparse and biomarker stability is uncharted. Secondary care patients with severe uncontrolled asthma and at least two blood eosinophil counts (BEC) and fractional exhaled nitric oxide (FeNO) measured for determination of type 2 inflammation status were evaluated from a follow-up period of 4 years. Patients were stratified into four groups: T2 low150 (n = 31; BEC < 150 cells/µL and FeNO < 25 ppb), non-T2 low150 (n = 138; BEC > 150 cells/µL and/or FeNO > 25 ppb), T2 low300 (n = 66; BEC < 300 cells/µL and FeNO < 25 ppb), and non-T2 low300 (n = 103; BEC > 300 cells/µL and/or FeNO > 25 ppb). Exacerbation rates requiring hospital care, stability of biomarker status, and cumulative OCS and ICS doses were assessed during follow-up. Among patients with severe uncontrolled asthma, 18% (n = 31) were identified as T2 low150, and 39% (n = 66) as T2 low300. In these groups, the low biomarker profile was stable in 55% (n = 11) and 72% (n = 33) of patients with follow-up measures. Exacerbation rates were different between the T2 low and non-T2 low groups: 19.7 [95% CI: 4.3–45.6] in T2 low150 vs. 8.4 [4.7–13.0] in non-T2 low150 per 100 patient-years. BEC and FeNO are useful biomarkers in identifying T2 low severe uncontrolled asthma, showing a stable follow-up biomarker profile in up to 72% of patients. Repeated monitoring of these biomarkers is essential in identifying and treating patients with T2 low asthma.
The majority of registry studies on atopic dermatitis include only patients and diagnoses from specialized healthcare. The aim of this retrospective, real-world cohort study was to evaluate the effect of atopic dermatitis severity on comorbidities and total morbidity, with comprehensive data from both primary and specialty healthcare registries covering the entire Finnish adult population. In total, 124,038 patients were identified (median age 46 years; 68% female) and stratified by disease severity. All regression analyses (median follow-up 7.0 years) were adjusted at a minimum for age, sex, obesity, and educational level. Compared with mild atopic dermatitis, severe atopic dermatitis was significantly associated with multiple morbidities, including neurotic, stress-related and somatoform disorders, abscesses, erysipelas/cellulitis, impetigo, herpes zoster, extragenital herpes, bacterial conjunctivitis, septicaemia, lymphomas, alopecia areata, urticaria, other dermatitis, contact allergy, osteoporosis, and intervertebral disc disorders (p < 0.001). In addition, there were significant associations with alcohol dependence, depression, condylomas, rosacea, migraine, sleep apnoea, hypertension, enthesopathies, atherosclerosis, and drug-induced cataract (p < 0.05). Odds ratios were modest and mostly were between 1.10 and 2.75. Furthermore, patients with severe atopic dermatitis had lower incidences of prostate cancer, cystitis, and anogenital herpes than patients with mild atopic dermatitis (p < 0.05). These results suggest that severe atopic dermatitis results in significant overall morbidity.
Autosomal recessive Gaucher disease (GD) is likely underdiagnosed in many countries. Because the number of diagnosed GD patients in Finland is relatively low, and the true prevalence is currently not known, it was hypothesized that undiagnosed GD patients may exist in Finland. Our previous study demonstrated the applicability of Gaucher Earlier Diagnosis Consensus point-scoring system (GED-C PSS; Mehta et al., 2019) and Finnish biobank data and specimens in the automated point scoring of large populations. An indicative point-score range for Finnish GD patients was determined, but undiagnosed patients were not identified partly due to high number of high-score subjects in combination with a lack of suitable samples for diagnostics in the assessed biobank population. The current study extended the screening to another biobank and evaluated the feasibility of utilising the automated GED-C PSS in conjunction with small nucleotide polymorphism (SNP) chip genotype data from the FinnGen study of biobank sample donors in the identification of undiagnosed GD patients in Finland. Furthermore, the applicability of FFPE tissues and DNA restoration in the next-generation sequencing (NGS) of the GBA gene were tested.Previously diagnosed Finnish GD patients eligible to the study, and up to 45,100 sample donors in Helsinki Biobank (HBB) were point scored. The GED-C point scoring, adjusted to local data, was automated, but also partly manually verified for GD patients. The SNP chip genotype data for rare GBA variants was visually assessed. FFPE tissues of GD patients were obtained from HBB and Biobank Borealis of Northern Finland (BB).Three previously diagnosed GD patients and one patient previously treated for GD-related features were included. A genetic diagnosis was confirmed for the patient treated for GD-related features. The GED-C point score of the GD patients was 12.5-22.5 in the current study. The score in eight Finnish GD patients of the previous and the current study is thus 6-22.5 points per patient. In the automated point scoring of the HBB subpopulation (N ≈ 45,100), the overall scores ranged from 0 to 17.5, with 0.77% (346/45,100) of the subjects having ≥10 points. The analysis of SNP chip genotype data was able to identify the diagnosed GD patients, but potential undiagnosed patients with the GED-C score and/or the GBA genotype indicative of GD were not discovered. Restoration of the FFPE tissue DNA improved the quality of the GBA NGS, and pathogenic GBA variants were confirmed in five out of six unrestored and in all four restored FFPE DNA samples.These findings imply that the prevalence of diagnosed patients (~1:325,000) may indeed correspond the true prevalence of GD in Finland. The SNP chip genotype data is a valuable tool that complements the screening with the GED-C PSS, especially if the genotyping pipeline is tuned for rare variants. These proof-of-concept biobank tools can be adapted to other rare genetic diseases.
Chronic heart failure -epidemiology, prognosis, outcome 1193 patients with Chagas's heart disease after first medical visit was nearly 12%.By contrast, the probability of survival for more than 10 years of female patients with hypertensive heart disease after beginning of symptoms is nearly 68% (Figure 1).Conclusions: Using a new Bayesian tool to evaluate survival probabilities in patients with heart failure, we found that etiology, gender and duration of clinical picture impacted on survival rates.Particularly, male patients with Chagas's heart disease followed since first medical visit demonstrated ominous survival rates, whereas female patients with hypertensive heart disease followed since the beginning of symptoms showed more favorable survival rates in relation to heart failure of other etiologies.
Purpose: The burden associated with chronic obstructive pulmonary disease (COPD) is substantial. The objectives of this study were to describe healthcare resource utilization (HCRU) and HCRU-associated costs in patients with COPD in Finland, according to disease severity and blood eosinophil count (BEC). Patients and methods: This non-interventional, retrospective registry study (GSK ID: HO-17-17558) utilized data from the specialist care hospital register. Data extraction was from first hospital visit with a COPD diagnosis (index date) from January 1, 2004 until December 31, 2015 or death. Patients (aged >18 years with ≥1 report of post-bronchodilation forced expiratory volume in 1 s (FEV 1 )/forced vital capacity (FVC) ratio <0.7) were categorized as having non-severe or severe COPD (FEV 1 >50% or ≤50% of reference, respectively). Patients who were initially non-severe but progressed to severe were classified as having progressing COPD. Patients without spirometry registry data were classified as having clinically verified COPD. Patients were grouped according to BEC (≥300 cells/μL, <300 cells/μL or BEC unknown). HCRU, estimated associated costs and mortality were evaluated according to COPD severity and BEC. Results: There were 9042 patients with COPD; 340 non-severe, 326 progressing, 394 severe, and 7982 clinically verified. BEC was available for 31.8% of patients. The mean follow-up time was 3.7–6.5 years in the classified patient-groups. All-cause mortality was 46% during follow-up. Severe COPD was associated with more COPD-related HCRU and higher mortality than non-severe COPD. Patients with BEC ≥300 cells/μL had higher overall HCRU but improved survival compared with those with BEC <300 cells/μL. Overall direct costs were similar across COPD severity categories, 3300–3900€/patient-year, although COPD-related costs were higher in patients with severe versus non-severe COPD. Conclusion: This study demonstrated a substantial burden associated with severe and/or eosinophilic COPD for patients in Finland. Keywords: severe COPD, severe eosinophilic COPD, prevalence, healthcare costs, mortality
A high-fat diet promotes postprandial systemic inflammation and metabolic endotoxemia. We investigated the effects of three consecutive high-fat meals on endotoxemia, inflammation, vascular function, and postprandial lipid metabolism in patients with type 1 diabetes.Non-diabetic controls (n = 34) and patients with type 1 diabetes (n = 37) were given three high-caloric, fat-containing meals during one day. Blood samples were drawn at fasting (8:00) and every two hours thereafter until 18:00. Applanation tonometry was used to assess changes in the augmentation index during the investigation day.Three consecutive high-fat meals had only a modest effect on serum LPS-activity levels and inflammatory markers throughout the day in both groups. Of note, patients with type 1 diabetes were unable to decrease the augmentation index in response to the high-fat meals. The most profound effects of the consecutive fat loads were seen in chylomicron and HDL-metabolism. The triglyceride-rich lipoprotein remnant marker, apoB-48, was elevated in patients compared to controls both at fasting (p = 0.014) and postprandially (p = 0.035). The activities of the HDL-associated enzymes PLTP (p < 0.001), and CETP (p = 0.007) were higher and paraoxonase (PON-1) activity, an anti-oxidative enzyme bound to HDL, decreased in patients with type 1 diabetes (p = 0.027).In response to high-fat meals, early signs of vascular dysfunction alongside accumulation of chylomicron remnants, higher augmentation index, and decreased PON-1 activity were observed in patients with type 1 diabetes. The high-fat meals had no significant impact on postprandial LPS-activity in non-diabetic subjects or patients with type 1 diabetes suggesting that metabolic endotoxemia may be more central in patients with chronic metabolic disturbances such as obesity, type 2 diabetes, or diabetic kidney disease.
