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Technological advances have allowed dried blood spots (DBS) to be utilized for various measurements, helpful in population-based studies. The following is a review of the literature highlighting the advantages and disadvantages of DBS and describing their use in multiple areas of research.

DBS can track pollutant exposure to understand their impact on health. DBS can also be used for (epi-)genetic studies, to measure clinical biomarkers, and to monitor drug adherence. Advantages of DBS include being minimally invasive, requiring low blood volume, and being cost-effective to collect, transport, and store. Disadvantages of DBS include the hematocrit effect, which is related to the viscosity of the blood affecting its spread on to the filter paper, causing a major source of error when assessing concentrations, and the possibility of low DNA volume. Numerous uses for DBS make them an important source of biomaterial but they require additional validation for accuracy and reproducibility.

DBS can track pollutant exposure to understand their impact on health. DBS can also be used for (epi-)genetic studies, to measure clinical biomarkers, and to monitor drug adherence. Advantages of DBS include being minimally invasive, requiring low blood volume, and being cost-effective to collect, transport, and store. Disadvantages of DBS include the hematocrit effect, which is related to the viscosity of the blood affecting its spread on to the filter paper, causing a major source of error when assessing concentrations, and the possibility of low DNA volume. Numerous uses for DBS make them an important source of biomaterial but they require additional validation for accuracy and reproducibility.

The skull base inventory (SBI) was developed to better assess health-related quality of life (HR-QOL) in patients with anterior and central skull base neoplasms treated by endoscopic and open approaches. The primary objective of this study was to prospectively assess the psychometric properties of the SBI.

This study is part of a multi-center study of patients undergoing endoscopic and open procedures completed between 2012 and 2018. Participants were eligible if they were over 18years of age; had benign or malignant anterior, antero-lateral, or central skull base tumors; and required either an open or endoscopic skull base surgical approach. https://www.selleckchem.com/products/lenalidomide-s1029.html In order to assess the psychometric properties of the SBI, patients completed the instrument at six time points (preoperative, 2weeks, 3months, 6months, 12months postoperative). Patients also completed the Anterior Skull Base (ASB) questionnaire and the Sinonasal Outcome Test (SNOT-22) to allow comparison to the SBI.

One hundred and eighty-seven patients were incluessment of HR-QOL in these settings.

Small cell lung cancer (SCLC) is a highly fatal disease associated with significant morbidity, with a need for real-world symptom and health utility score (HUS) data. HUS can be measured using an EQ-5D-5L questionnaire, however most captured data is available in non-SCLC (NSCLC) only. As new treatment regimens become available in SCLC it becomes important to understand factors which influence health-related quality of life and health utility.

A prospective observational cohort study (2012-2017) of ambulatory histologically confirmed SCLC evaluated patient-reported EQ-5D-5L-derived HUS, toxicity and symptoms. A set of NSCLC patients was used to compare differential factors affecting HUS. Clinical and demographic factors were evaluated for differential interactions between lung cancer types. Comorbidity scores were documented for each patient.

In 75 SCLC and 150 NSCLC patients, those with SCLC had lower mean HUS ((SCLC vs NSCLC mean 0.69 vs 0.79); (p < 0.001)) when clinically stable and with progressive disease ((SCLC mean HUS = 0.60 vs NSCLC mean HUS = 0.77), (p = 0.04)). SCLC patients also had higher comorbidity scores ((1.11 vs 0.73); (p < 0.015)). In multivariable analyses, increased symptom severity and comorbidity scores decreased HUS in both SCLC and NSCLC (p < 0.001); however, only comorbidity scores differentially affected HUS (p < 0.0001), with a greater reduction of HUS adjusted per unit of comorbidity in SCLC.

Patients with advanced SCLC had significantly lower HUS than NSCLC. Both patient cohorts are impacted by symptoms and comorbidity, however, comorbidity had a greater negative effect in SCLC patients.

Patients with advanced SCLC had significantly lower HUS than NSCLC. Both patient cohorts are impacted by symptoms and comorbidity, however, comorbidity had a greater negative effect in SCLC patients.

To describe health status and health state utilities measured by the EQ-5D-3L in a population-based sample of individuals aged 85 + in Germany, and to analyze associations with basic socio-demographic variables.

Cross-sectional data from follow-up wave 7 (n = 761) of the German AgeCoDe Study were used. The EQ-5D-3L questionnaire was used to record problems in five health dimensions, its visual analogue scale (EQ VAS) was used to record self-rated health status, and the German EQ-5D-3L index was used to derive health state utilities.

Mean age of respondents was 88.9years (SD 2.9; range 85 to 100), 67.4% were female. 81.9% reported problems in at least one of the EQ-5D dimensions, with 15.3% reporting extreme problems. Most frequent were problems with pain/discomfort (64.8%), followed by mobility (62.5%), usual activities (42.6%), self-care (28.2%), and anxiety/depression (20.5%). Mean EQ VAS score was 62.4 (SD 18.8), and mean EQ-5D index was 0.77 (SD 0.24). Multiple regression analysis showed associations of problem frequency in various EQ-5D dimensions with age, gender, living situation, marital status, and education. The EQ VAS score was negatively associated with age (β =  - 0.56; p < 0.05) and female gender (β =  - 3.49; p < 0.05). The EQ-5D index was negatively associated with not living in the community (β =  - 0.10; p < 0.001) and being single (β =  - 0.09; p < 0.05).

The results show a substantially impaired health status of the oldest-old population. The data can be used for comparing health status of population groups as well as for health economic models.

The results show a substantially impaired health status of the oldest-old population. The data can be used for comparing health status of population groups as well as for health economic models.