Diagnostic biases against individuals of advanced age or few years of formal education exist because age and education are commonly related to performance on cognitive tests, thus, demographic corrections for these tests are used. Corrections are complicated, however, by an association between demographic variables and dementia diagnoses. This dissertation examined the dementia diagnostic accuracy of demographic corrections for cognitive tests. Experiment I tested whether, in the context of skewed tests that violate the statistical assumptions of linearity and homoscedasticity, the accuracy of demographically-corrected test scores would be reduced. Experiment II tested whether demographic corrections would only be appropriate for biased factors instead of the total score for multifactorial tests. Experiment III explored whether demographic corrections would be inappropriate under conditions where the dementia pathology overrides the association between cognitive test scores and demographic variables. Experiment IV explored whether demographic corrections would be inappropriate in conditions where the demographic variables were, in themselves, risk factors for dementia, as this would remove predictive variance. Experiment V explored aspects particular to regression-based demographic corrections that might adversely affect diagnostic accuracy. Experiments I to V were simulation-based; consequently Experiment VI explored replication of these findings using regression adjusted scores in a previously collected clinical database. Finally, Experiment VII used clinical data in conjunction with published clinical normative data with demographic-stratification to test the generalizability of these findings to clinical practice. Using area under the receiver operating characteristic curve comparisons, the use of demographically-corrected scores repeatedly failed to improve upon the dementia diagnostic accuracy of uncorrected cognitive test scores, regardless of whether these corrections were regression-based or based on demographically stratified normative data. Demographic corrections reduced dementia diagnostic accuracy when cognitive test scores were skewed or when adjustments were regression-based and demographic variables were risk factors for dementia. The use of demographic corrections when dementia pathology supersedes any association between cognitive test scores and demographic variables does not impact the relative diagnostic accuracy of demographically-corrected versus uncorrected test scores. Overall, these results suggest that the use of demographic corrections for cognitive test scores is highly cautioned when the goal is to maximize dementia diagnostic accuracy.

Diagnostic biases against individuals of advanced age or few years of formal education exist because age and education are commonly related to performance on cognitive tests, thus, demographic corrections for these tests are used. Corrections are complicated, however, by an association between demographic variables and dementia diagnoses. This dissertation examined the dementia diagnostic accuracy of demographic corrections for cognitive tests. Experiment I tested whether, in the context of skewed tests that violate the statistical assumptions of linearity and homoscedasticity, the accuracy of demographically-corrected test scores would be reduced. Experiment II tested whether demographic corrections would only be appropriate for biased factors instead of the total score for multifactorial tests. Experiment III explored whether demographic corrections would be inappropriate under conditions where the dementia pathology overrides the association between cognitive test scores and demographic variables. Experiment IV explored whether demographic corrections would be inappropriate in conditions where the demographic variables were, in themselves, risk factors for dementia, as this would remove predictive variance. Experiment V explored aspects particular to regression-based demographic corrections that might adversely affect diagnostic accuracy. Experiments I to V were simulation-based; consequently Experiment VI explored replication of these findings using regression adjusted scores in a previously collected clinical database. Finally, Experiment VII used clinical data in conjunction with published clinical normative data with demographic-stratification to test the generalizability of these findings to clinical practice. Using area under the receiver operating characteristic curve comparisons, the use of demographically-corrected scores repeatedly failed to improve upon the dementia diagnostic accuracy of uncorrected cognitive test scores, regardless of whether these corrections were regression-based or based on demographically stratified normative data. Demographic corrections reduced dementia diagnostic accuracy when cognitive test scores were skewed or when adjustments were regression-based and demographic variables were risk factors for dementia. The use of demographic corrections when dementia pathology supersedes any association between cognitive test scores and demographic variables does not impact the relative diagnostic accuracy of demographically-corrected versus uncorrected test scores. Overall, these results suggest that the use of demographic corrections for cognitive test scores is highly cautioned when the goal is to maximize dementia diagnostic accuracy.

Abstract The Northern Finland 1966 Birth Cohort is an unselected, population-based sample of 12,058 live born children. The present study is based on 10,934 individuals living in Finland at the age of 16 years. Ninety-six research diagnoses fulfilling operational DSM-III-R criteria for schizophrenia by age 34 years were found in the reassessment of clinical diagnoses. Of these 96 cases, 55 (57%) had concordant diagnoses (both the clinical and research diagnosis was schizophrenia) and 41 (43%) had discordant diagnoses (the clinical diagnosis was other than schizophrenia). Diagnostic discordance was associated with low parental social class in 1980, later age at onset, comorbid diagnosis of mental retardation, shorter treatment periods and lower number of treatment episodes. Unwanted pregnancy and parental history of psychosis increased the risk for schizophrenia. The combination of unwantedness of pregnancy and parental history of psychosis elevated the risk of schizophrenia over 8-fold in offspring compared to those without either risk factor. Both low and high birth weight increased the risk of later schizophrenia. Both short and tall babies also had elevated risk. A reverse J-shape curve described the associations between birth weight, length and schizophrenia. The ages when cohort members learned to stand, walk and became potty-trained were related to subsequent incidence of schizophrenia and other psychoses. Earlier milestones reduced and later milestones increased the risk in a linear manner. In conclusion, these results indicate that schizophrenia has complex phenomenology and developmental pathways. Its multiple symptomatology with no single specific defining feature and no absolute validation criteria makes the phenomenological-based diagnosis of schizophrenia challenging. Unwanted pregnancy may act as an additive factor for subjects already vulnerable to schizophrenia and psychoses may have a developmental dimension expressed as deviant foetal development and delayed milestones. These results support the neurodevelopmental theory suggesting that schizophrenia results from small developmental deviances with origins very early in development. / Tiivistelmä Tämän tutkimuksen tavoitteena oli tutkia skitsofrenian diagnostiikan osuvuuteen liittyviä tekijöitä sekä raskauden ei-toivottavuuden, lapsen syntymäpainon ja -pituuden ja skitsofrenian sekä varhaislapsuuden kehityksen ja skitsofrenian ja muiden psykoosien välistä yhteyttä. Pohjois-Suomen vuoden 1966 syntymäkohortti on prospektiivinen, epidemiologinen seurantatutkimus, johon kuuluu 12,058 vuonna1966 syntynyttä lasta. Prospektiivista tietoa on kerätty raskaudesta alkaen elinolosuhteista, elintavoista ja perheestä ja perimästä. Tämä tutkimus perustuu 10,934 henkilöön, jotka ovat asuneet 16-vuotiaana Suomessa eivätkä ole kieltäneet tietojensa käyttämistä tutkimukseen. Kliinisten diagnoosien uudelleen arvioinnissa DSM-III-R:n kriteerit täyttäviä skitsofreniatapauksia 34 ikävuoteen mennessä todettiin 96. Näistä 96 tapauksesta myös 55:n (57 %) kliininen diagnoosi oli skitsofrenia ja 41:n (43 %) kliininen diagnoosi oli muu kuin skitsofrenia. Diagnostiikan epätarkkuus liittyi matalaan sosiaaliluokkaan vuonna 1980, myöhäiseen sairastumisikään, samanaikaiseen kehitysvamma-diagnoosiin, lyhyisiin hoitoaikoihin ja vähäiseen hoitojaksojen määrään. Ei-toivottu raskaus yhdessä vanhemman psykoosisairauden kanssa lisäsi lapsen skitsofrenian riskiä yli 8-kertaiseksi. Matala ja korkea syntymäpaino lisäsivät skitsofrenian riskiä kaksinkertaiseksi ja samansuuruinen riskin kasvu havaittiin myös lapsilla, jotka olivat syntyessään lyhyitä tai pitkiä. J-muotoinen yhteys havaittiin syntymäpainon ja -pituuden sekä skitsofrenian riskin välillä. Ikä, jolloin lapsi oppi seisomaan, kävelemään ja kuivaksi, liittyi myöhempään skitsofreniaan ja sairastumiseen muihin psykooseihin. Varhainen oppiminen laski ja myöhäinen kehitys kohotti riskiä sairastua lineaarisesti. Tutkimuksen tulokset osoittivat, että skitsofrenia on monimuotoinen kliininen oireyhtymä, mikä tekee diagnostiikan haastavaksi. Raskauden ei-toivottavuus liittyneenä vanhemman psykoosisairauteen lisää lapsen skitsofrenian riskiä. Myös poikkeava syntymäpaino ja -pituus lisäävät skitsofrenian riskiä. Psykooseihin voi liittyä kehityksellinen dimensio, joka ilmenee viivästyneenä kehityksenä.

No description available.

Background: Coronary artery disease (CAD) is a frequent comorbidity in patients undergoing transcatheter aortic valve implantation (TAVI). If significant CAD can be excluded on coronary CT-angiography (cCTA), invasive coronary angiography (ICA) may be avoided. However, a high plaque burden may make the exclusion of CAD challenging, particularly for less experienced readers. The objective was to analyze the ability of machine learning (ML)-based CT-derived fractional flow reserve (CT-FFR) to correctly categorize cCTA studies without obstructive CAD acquired during pre-TAVI evaluation and to correlate recategorization to image quality and coronary artery calcium score (CAC). Methods: In total, 116 patients without significant stenosis (≥50% diameter) on cCTA as part of pre-TAVI CT were included. Patients were examined with an electrocardiogram-gated CT scan of the heart and high-pitch scan of the torso. Patients were re-evaluated with ML-based CT-FFR (threshold = 0.80). The standard of reference was ICA. Image quality was assessed quantitatively and qualitatively. Results: ML-based CT-FFR was successfully performed in 94.0% (109/116) of patients, including 436 vessels. With CT-FFR, 76/109 patients and 126/436 vessels were falsely categorized as having significant CAD. With CT-FFR 2/2 patients but no vessels initially falsely classified by cCTA were correctly recategorized as having significant CAD. Reclassification occurred predominantly in distal segments. Virtually no correlation was found between image quality or CAC. Conclusions: Unselectively applied, CT-FFR may vastly increase the number of false positive ratings of CAD compared to morphological scoring. Recategorization was virtually independently from image quality or CAC and occurred predominantly in distal segments. It is unclear whether or not the reduced CT-FFR represent true pressure ratios and potentially signifies pathophysiology in patients with severe aortic stenosis.

Background: Significant coronary artery disease (CAD) is a common finding in patients undergoing transcatheter aortic valve implantation (TAVI). Assessment of CAD prior to TAVI is recommended by current guidelines and is mainly performed via invasive coronary angiography (ICA). In this study we analyzed the ability of coronary CT-angiography (cCTA) to rule out significant CAD (stenosis ≥ 50%) during routine pre-TAVI evaluation in patients with high pre-test probability for CAD. Methods: In total, 460 consecutive patients undergoing pre-TAVI CT (mean age 79.6 ± 7.4 years) were included. All patients were examined with a retrospectively ECG-gated CT-scan of the heart, followed by a high-pitch-scan of the vascular access route utilizing a single intravenous bolus of 70 mL iodinated contrast medium. Images were evaluated for image quality, calcifications, and significant CAD; CT-examinations in which CAD could not be ruled out were defined as positive (CAD+). Routinely, patients received ICA (388/460; 84.3%; Group A), which was omitted if renal function was impaired and CAD was ruled out on cCTA (Group B). Following TAVI, clinical events were documented during the hospital stay. Results: cCTA was negative for CAD in 40.2% (188/460). Sensitivity, specificity, PPV, and NPV in Group A were 97.8%, 45.2%, 49.6%, and 97.4%, respectively. Median coronary artery calcium score (CAC) was higher in CAD+-patients but did not have predictive value for correct classification of patients with cCTA. There were no significant differences in clinical events between Group A and B. Conclusion: cCTA can be incorporated into pre-TAVI CT-evaluation with no need for additional contrast medium. cCTA may exclude significant CAD in a relatively high percentage of these high-risk patients. Thereby, cCTA may have the potential to reduce the need for ICA and total amount of contrast medium applied, possibly making pre-procedural evaluation for TAVI safer and faster.

Bakgrund: Akut buksmärta är en av de vanligaste sökorsakerna på en akutmottagning. Trots det är smärtlindringen till denna patientkategori omdiskuterad då smärtlindring innan läkarbedömning anses äventyra patientens hälsa och riskerar att maskera potentiellt livshotande tillstånd trots att forskning de senare årtiondena visat på motsatsen. Syfte:  Syftet med litteraturstudien var att undersöka fördelar och risker med smärtlindring administrerad av sjuksköterska innan läkarbedömning vid akut buksmärta. Metod: Systematisk litteraturstudie som granskat kvantitativa artiklar i ämnet med företrädesvis randomiserade kontrollerade studier beskrivna. De granskade artiklarna har sökts upp i medicinska databaser med hjälp av den strukturerade sökmetoden PICO. Artiklarnas resultat har granskats med innehållsanalys. Resultat: Totalt 12 vetenskapliga artiklar inkluderades och utgjorde resultatet i litteraturstudien. I resultatet framkom tre kategorier och en underkategori som belyste smärtskattning och smärtlindring, biverkningar och komplikationer, påverkan på diagnosbeslut och patientbelåtenhet. Slutsats: Tidig smärtlindring med opioider och paracetamol smärtlindrar patienten adekvat och försenar inte klinisk bedömning och efterföljande diagnosbeslut av läkare vid akut buksmärta.

No description available.

Estudos recentes têm sugerido que as imagens de tensor de difusão podem ser úteis para diagnosticar doença de Parkinson (DP). Nosso objetivo foi estimar a exatidão diagnóstica da anisotropia fracionada da substância negra (FA-SN) para o diagnóstico de DP, em uma amostra mais próxima do cenário clínico, incluindo pacientes com tremor essencial (TE) e voluntários sadios (VS). Para uma compreensão mais profunda de nossos achados, também realizamos uma revisão sistemática da literatura e meta-análise para estimar a mudança média da FA-SN induzida pela DP e a precisão diagnóstica dessa medida. Nossa amostra consistiu de 135 pacientes: 72 pacientes com DP, 21 com TE e 42 VS. Dois exames em RM 3T foram realizados em diferentes locais. Em nossa amostra, não encontramos diferenças significativas entre os grupos e a FA-SN não foi útil para o diagnóstico. O maior componente da variabilidade foi a interação sítio-sujeito. Os resultados desta amostra foram fundidos em uma meta-análise que incluiu 1549 indivíduos compostos de 896 pacientes com DP e 653 VS. Utilizaram-se os modelos bivariados e inversos de variância inversa para resumir as medidas de acurácia diagnóstica e as diferenças de médias, respectivamente. A meta-análise estimou uma pequena diminuição nos valores médios da FA-SN na DP (0,03 menor nos pacientes com DP (IC: 0,01 - 0,06)). Apesar disso, sua capacidade discriminatória para o diagnóstico da DP foi baixa. A sensibilidade e a especificidade combinadas foram, respectivamente, 70% (IC: 65 - 74) e 63% (IC: 57 - 69). Houve alta heterogeneidade entre os resultados dos estudos (I2 = 92%). O estudo de caso-controle e a meta-análise das medidas de anisotropia fracionada na substância negra de pacientes com doença de Parkinson e voluntários sadios demonstram que o seu uso como biomarcador de DP não é confiável / Recent studies have suggested that diffusion tensor images can be useful to diagnose Parkinson\'s disease (PD). Our goal was to estimate the diagnostic accuracy of substantia nigra fractional anisotropy (SN-FA) for PD diagnosis in a sample closer to the clinical setting, including patients with essential tremor (ET) and healthy controls (HC). To a deeper understanding of our findings, we also performed a systematic literature review and meta-analysis to estimate mean change of SN-FA induced by PD, and diagnostic accuracy of this measurement. Our sample consisted of 135 subjects: 72 PD and 21 ET patients and 42 HC. Two 3T MRI scans were performed in different sites. In our sample, we did not find significant mean difference between groups and SN-FA was useless for diagnosis. The largest component of explained variability of SN-FA was site-subject interaction. MRI results of this sample were merged in a meta-analysis that included 1549 subjects composed of 896 PD patients and 653 HC. The normal bivariate and the inverse-variance random-effect models were used to summarize diagnostic accuracy measures and mean differences respectively. Meta-analysis estimated a small decrease in mean SN-FA values in PD (0.03 lower in PD patients (CI: 0.01 - 0.06)). Despite this fact, its discriminatory capability to diagnose PD was low. The pooled sensitivity and specificity was respectively 70% (CI: 65 - 74) and 63% (CI: 57 - 69). There was high heterogeneity between studies results (I2 = 92 %). This case-control study and meta-analysis of substantia nigra fractional anisotropy measurements in Parkinson\'s disease and healthy volunteers demonstrate that their use as a PD biomarker is not reliable

No description available.