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Our study examined whether potentially critical indications from depression questionnaires, interviews, and single items on suicidal ideation among partici-pants in a large prospective population-based study are related to short-term sui-cides within one year. For this purpose, we studied the association between (a) the severity of depressive symptoms according to the M-CIDI and the PHQ-9, BDI-II, and CID-S depression screening and (b) elevated scores on single sui-cidal ideation items and mortality according to claims databases.
In the baseline cohort, the frequency of depressive symptoms measured by CID-S was 12.90% (SHIP-START-0). The frequency for “Moderate” to “Severe de-pression” measured by the PHQ-9 (≥ 10 points) and BDI-II (≥ 20 points) ques-tionnaires ranged from 5.40% (SHIP-LEGENDE) to 8.80% (SHIP-TREND Morbid-ity follow-up). The 1-month prevalence of unipolar depression, measured by the M-CIDI in SHIP LEGENDE, was 2.31%.
Between 5.90% (SHIP-TREND Morbidity follow-up) and 6.60% (SHIP-LEGENDE) of respondents showed a certain degree of suicidal ideation in the two weeks preceding the assessment, according to BDI-II and PHQ-9.
Our results show the high frequency of depressive symptoms in the study region, with women being affected more frequently than men, especially in the higher categories. Furthermore, women were more frequently affected by suicidal idea-tion, although this difference was not evident in the highest categories.
There was one potential suicide in the year after a SHIP examination.
From our results, we cannot conclude that severe self-reported symptoms from depression questionnaires should be reported back to participants of an obser-vational population-based study to prevent suicide deaths within one year.
Background: Fatigue, dyspnea, and lack of energy and concentration are commonly interpreted as indicative of symptomatic anemia and may thus play a role in diagnostic and therapeutic decisions. Objective: To investigate the association between symptoms commonly attributed to anemia and the actual presence of anemia. Methods: Data from two independent cohorts of the Study of Health in Pomerania (SHIP) were analyzed. Interview data, laboratory data, and physical examination were individually linked with claims data from the Association of Statutory Health Insurance Physicians. A complete case analysis using logistic regression models was performed to evaluate the association of anemia with symptoms commonly attributed to anemia. The models were adjusted for confounders such as depression, medication, insomnia, and other medical conditions. Results: A total of 5979 participants (53% female, median age 55) were included in the analysis. Of those, 30% reported fatigue, 16% reported lack of energy, 16% reported lack of concentration, and 29% reported dyspnea and/or weakness. Anemia was prevalent in about 6% (379). The symptoms were more prevalent in participants with anemia. However, participants with anemia were older and had a poorer health status. There was no association in multivariate logistic regression models between the symptoms fatigue, lack of concentration, dyspnea, and/or weakness and anemia. Anemia was associated (OR: 1.45; 95% CI: 1.13–1.86) with lack of energy in the multivariate analysis. Other factors such as depression, insomnia, and medication were more strongly associated with the symptoms. Conclusion: The clinical symptoms commonly attributed to anemia are unspecific and highly prevalent both in non-anemic and anemic persons. Even in the presence of anemia, other diagnoses should be considered as causes such as depression, heart failure, asthma, and COPD, which are more closely associated with the symptoms. Further diagnostic research is warranted to explore the association of symptoms in different subgroups and settings in order to help clinical decision making.
Background
Elective surgeries are among the most common health stressors in later life and put a significant risk at functional and mental health, making them an important target of research into healthy aging and physical resilience. Large-scale longitudinal research mostly conducted in non-clinical samples provided support of the predictive value of self-rated health (SRH) for both functional and mental health. Thus, SRH may have the potential to predict favorable adaptation processes after significant health stressors, that is, physical resilience. So far, a study examining the interplay between SRH, functional and mental health and their relative importance for health changes in the context of health stressors was missing. The present study aimed at addressing this gap.
Methods
We used prospective data of 1,580 inpatients (794 complete cases) aged 70 years or older of the PAWEL study, collected between October 2017 and May 2019 in Germany. Our analyses were based on SRH, functional health (Barthel Index) and self-reported mental health problems (PHQ-4) before and 12 months after major elective surgery. To examine changes and interrelationships in these health indicators, bivariate latent change score (BLCS) models were applied.
Results
Our analyses provided evidence for improvements of SRH, functional and mental health from pre-to-post surgery. BLCS models based on complete cases and the total sample pointed to a complex interplay of SRH, functional health and mental health with bidirectional coupling effects. Better pre-surgery SRH was associated with improvements in functional and mental health, and better pre-surgery functional health and mental health were associated with improvements in SRH from pre-to-post surgery. Effects of pre-surgery SRH on changes in functional health were smaller than those of functional health on changes in SRH.
Conclusions
Meaningful changes of SRH, functional and mental health and their interplay could be depicted for the first time in a clinical setting. Our findings provide preliminary support for SRH as a physical resilience factor being associated with improvements in other health indicators after health stressors. Longitudinal studies with more timepoints are needed to fully understand the predictive value of SRH for multidimensional health.
Trial registration
PAWEL study, German Clinical Trials Register, number DRKS00013311. Registered 10 November 2017 – Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013311.
Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review
(2023)
Background: Applications of artificial intelligence (AI) are pervasive in modern biomedical science. In fact, research results suggesting algorithms and AI models for different target diseases and conditions are continuously increasing. While this situation undoubtedly improves the outcome of AI models, health care providers are increasingly unsure which AI model to use due to multiple alternatives for a specific target and the “black box” nature of AI. Moreover, the fact that studies rarely use guidelines in developing and reporting AI models poses additional challenges in trusting and adapting models for practical implementation.
Objective: This review protocol describes the planned steps and methods for a review of the synthesized evidence regarding the quality of available guidelines and frameworks to facilitate AI applications in medicine.
Methods: We will commence a systematic literature search using medical subject headings terms for medicine, guidelines, and machine learning (ML). All available guidelines, standard frameworks, best practices, checklists, and recommendations will be included, irrespective of the study design. The search will be conducted on web-based repositories such as PubMed, Web of Science, and the EQUATOR (Enhancing the Quality and Transparency of Health Research) network. After removing duplicate results, a preliminary scan for titles will be done by 2 reviewers. After the first scan, the reviewers will rescan the selected literature for abstract review, and any incongruities about whether to include the article for full-text review or not will be resolved by the third and fourth reviewer based on the predefined criteria. A Google Scholar (Google LLC) search will also be performed to identify gray literature. The quality of identified guidelines will be evaluated using the Appraisal of Guidelines, Research, and Evaluation (AGREE II) tool. A descriptive summary and narrative synthesis will be carried out, and the details of critical appraisal and subgroup synthesis findings will be presented.
Results: The results will be reported using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) reporting guidelines. Data analysis is currently underway, and we anticipate finalizing the review by November 2023.
Conclusions: Guidelines and recommended frameworks for developing, reporting, and implementing AI studies have been developed by different experts to facilitate the reliable assessment of validity and consistent interpretation of ML models for medical applications. We postulate that a guideline supports the assessment of an ML model only if the quality and reliability of the guideline are high. Assessing the quality and aspects of available guidelines, recommendations, checklists, and frameworks—as will be done in the proposed review—will provide comprehensive insights into current gaps and help to formulate future research directions.
International Registered Report Identifier (IRRID): DERR1-10.2196/47105
Background: Thorough data stewardship is a key enabler of comprehensive health research. Processes such as data collection, storage, access, sharing, and analytics require researchers to follow elaborate data management strategies properly and consistently. Studies have shown that findable, accessible, interoperable, and reusable (FAIR) data leads to improved data sharing in different scientific domains.
Objective: This scoping review identifies and discusses concepts, approaches, implementation experiences, and lessons learned in FAIR initiatives in health research data.
Methods: The Arksey and O’Malley stage-based methodological framework for scoping reviews was applied. PubMed, Web of Science, and Google Scholar were searched to access relevant publications. Articles written in English, published between 2014 and 2020, and addressing FAIR concepts or practices in the health domain were included. The 3 data sources were deduplicated using a reference management software. In total, 2 independent authors reviewed the eligibility of each article based on defined inclusion and exclusion criteria. A charting tool was used to extract information from the full-text papers. The results were reported using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.
Results: A total of 2.18% (34/1561) of the screened articles were included in the final review. The authors reported FAIRification approaches, which include interpolation, inclusion of comprehensive data dictionaries, repository design, semantic interoperability, ontologies, data quality, linked data, and requirement gathering for FAIRification tools. Challenges and mitigation strategies associated with FAIRification, such as high setup costs, data politics, technical and administrative issues, privacy concerns, and difficulties encountered in sharing health data despite its sensitive nature were also reported. We found various workflows, tools, and infrastructures designed by different groups worldwide to facilitate the FAIRification of health research data. We also uncovered a wide range of problems and questions that researchers are trying to address by using the different workflows, tools, and infrastructures. Although the concept of FAIR data stewardship in the health research domain is relatively new, almost all continents have been reached by at least one network trying to achieve health data FAIRness. Documented outcomes of FAIRification efforts include peer-reviewed publications, improved data sharing, facilitated data reuse, return on investment, and new treatments. Successful FAIRification of data has informed the management and prognosis of various diseases such as cancer, cardiovascular diseases, and neurological diseases. Efforts to FAIRify data on a wider variety of diseases have been ongoing since the COVID-19 pandemic.
Conclusions: This work summarises projects, tools, and workflows for the FAIRification of health research data. The comprehensive review shows that implementing the FAIR concept in health data stewardship carries the promise of improved research data management and transparency in the era of big data and open research publishing.
International Registered Report Identifier (IRRID): RR2-10.2196/22505
An already existing shortage of nurses was exacerbated by the COVID-19 pandemic. Inactive (former) nurses were regarded as a so-called silent reserve and were called upon by various agencies to volunteer for nursing. The question arose as to what factors might encourage or hinder such volunteering and facilitate deployment.
First, inactive nurses were asked via an online survey whether they had registered for deployment or not and what the reasons were for this decision. Further information on professional background was collected, including the reason for having left the profession in the first place. Based on the results of the online survey, focus group discussions were conducted with registered and unregistered inactive nurses, with nurses who had returned to the profession permanently, and with care home managers.
Only one third of the participants in the online survey said they had registered for a temporary assignment during the pandemic. The main reasons for registering were that inactive nurses ‘wanted to do their bit’ to manage the crisis, felt it was their duty and/or felt a sense of belonging to the nursing profession. The main reasons given for not having registered was that respondents ‘could not see a reason at the moment’, had health concerns, and ‘other relevant job commitments’. The majority of respondents still had jobs related to health, care or nursing.
The topics covered in the focus group discussions included the following: perception of the pandemic as a crisis, identity as a nurse and sense of professional commitment, role of current occupation in the decision to register, winning over inactive nurses with a very negative attitude towards returning to care during a crisis situation, support measures and offers regarding a deployment in nursing.
Both in the online survey and in the focus group discussions, a sense of belonging to the nursing profession was evident among many participants. However, this identity does not necessarily lead to a willingness to return to nursing during a crisis situation. Weighing up the risk of deployment against the positive or negative experiences gained during the active period can influence willingness. However, the possibility of taking a break from current work and returning to nursing at short notice is not always given. Many inactive nurses continue to work in the health sector and fulfil equally important tasks during a crisis situation which render them unavailable for deployment.
Different kinds of support for those willing to return to nursing during a crisis situation and communication on conditions of deployments need to be implemented and continuously improved to offer the inactive nurses the greatest possible security and to enable a largely unbureaucratic deployment.
This dynamic cohort was established to evaluate the targeted individual promotion of children affected by developmental risks as part of the German federal state law for child day-care and preschools in Mecklenburg-Western Pomerania. The project has been conducted in preschools in regions with a low socio-economic profile since 2011. Since 2017, the revision of the standardized Dortmund Developmental Screening for Preschools (DESK 3–6 R) has been applied. Developmental risks of 3 to 6-year-old children in the domains of motor, linguistic, cognitive and social competencies are monitored. The cohort is followed up annually. In 2020, n = 7,678 children from n = 152 preschools participated. At the baseline (2017), n = 8,439 children participated. Due to the defined age range of this screening, 3,000 to 4,000 5-6-year-old children leave the cohort annually. Simultaneously, an approximately equal number of 3-year-old children enters the cohort per survey wave. N = 702 children participated in all 4 survey waves. On the basis of DESK 3–6 R scores available from survey waves 2017 to 2019 it is possible to compute expected values for the survey wave 2020 and to compare those with the measured values to evaluate the effects of the COVID-19 pandemic (i.e. parental home care due to restrictions related to COVID-19).
Background
Early diagnosis is mandatory for the medical care of children and adolescents with pediatric-onset inflammatory bowel disease (PIBD). International guidelines (‘Porto criteria’) of the European Society for Pediatric Gastroenterology, Hepatology and Nutrition recommend medical diagnostic procedures in PIBD. Since 2004, German and Austrian pediatric gastroenterologists document diagnostic and treatment data in the patient registry CEDATA-GPGE on a voluntary basis. The aim of this retrospective study was to analyze whether the registry CEDATA-GPGE reflects the Porto criteria and to what extent diagnostic measures of PIBD according to the Porto criteria are documented.
Methods
Data of CEDATA-GPGE were analyzed for the period January 2014 to December 2018. Variables representing the Porto criteria for initial diagnostic were identified and categorized. The average of the number of measures documented in each category was calculated for the diagnoses CD, UC, and IBD-U. Differences between the diagnoses were tested by Chi-square test. Data on possible differences between data documented in the registry and diagnostic procedures that were actually performed were obtained via a sample survey.
Results
There were 547 patients included in the analysis. The median age of patients with incident CD (n = 289) was 13.6 years (IQR: 11.2–15.2), of patients with UC (n = 212) 13.1 years (IQR: 10.4–14.8) and of patients with IBD-U (n = 46) 12.2 years (IQR: 8.6–14.7).
The variables identified in the registry fully reflect the recommendations by the Porto criteria. Only the disease activity indices PUCAI and PCDAI were not directly provided by participants but calculated from obtained data. The category ‘Case history’ were documented for the largest part (78.0%), the category ‘Imaging of the small bowel’ were documented least frequently (39.1%). In patients with CD, the categories ‘Imaging of the small bowel’ (χ2 = 20.7, Cramer-V = 0.2, p < 0.001) and ‘Puberty stage’ (χ2 = 9.8, Cramer-V = 0.1, p < 0.05) were documented more often than in patients with UC and IBD-U.
Conclusion
The registry fully reproduces the guideline’s recommendations for the initial diagnosis of PIBD. The proportion of documented diagnostic examinations varied within the diagnostic categories and between the diagnoses. Despite technological innovations, time and personnel capacities at participating centers and study center are necessary to ensure reliable data entry and to enable researchers to derive important insights into guideline-based care.
Background & Aim: Person-Centered-Care (PCC) requires knowledge about patient preferences. Among People living with Dementia (PlwD) only limited evidence about patient preferences, more specifically quantitative preferences, is available. Additionally, data on congruence of patient preferences with physicians’ judgements are missing. Information on patient preferences and their congruence with physicians’ judgements is expected to support Shared Decision-Making and respectively support the implementation of PCC in dementia. The aim of this dissertation was to analyze patient preferences and physicians’ judgements for PCC, including an assessment of their congruence, based on data from the mixed-methods PreDemCare-study. (Funding: Doctoral Scholarship from the Hans & Ilse Breuer-Stiftung.)
Methods: Development and conduct of a cross-sectional Analytic Hierarchy Process (AHP) survey with n=50 PlwD and n=25 physicians. Individual AHP-weights were calculated with the principal right eigenvector method and aggregated per group by Aggregation of Individual Priorities (AIP) mode. Individual consistency ratios (CRs) were calculated and aggregated per group. Group differences were analyzed descriptively by AIP-derived means and standard deviations of AHP-weights, resulting ranks, and boxplots. Additionally, differences between groups were investigated with independent paired t-tests or Mann Whitney-U tests. The sensitivity of AHP-results at the level of criteria was tested by an exclusion of inconsistent respondents in both groups, with an accepted threshold of the individual CR at ≤ 0.3 for PlwD and ≤ 0.2 for physicians.
Results: Contrary to expectation, PlwD’s and physician’s ranking of AHP-elements did not differ meaningfully. Memory Exercises was the only AHP-criterion, for which a significant difference in AHP-weights could be identified (p-value = 0.01). After inconsistent participants had been excluded, no rank reversals occurred. At the level of criteria, the mean CR for PlwD was 0.261 and 0.181 for physicians, id est (i.e.) below the
defined threshold.
Conclusion: In the selected study setting of the PreDemCare-study, patient preferences and physicians’ judgements for elements of PCC in dementia aligned well, contrary to expectations. Subject to restrictions by small sample sizes, the findings may form a basis to guide the implementation of preference-based, person-centered dementia care.
Liver dysfunctions are commonly associated with diabetes and mortality in the general
population. However, previous studies lack to define these disorders with hepatic markers from
MRI, which have been shown to be more accurate and sensitive than hepatic ultrasound and
laboratory markers. Further, previous studies defining different categories of prediabetes by oral
glucose tolerance states revealed controversial findings. Hence, this dissertation contributed to
understand the associations of liver dysfunctions with glucose intolerance states and all-cause
mortality in the general population.
In the first part of the dissertation, the associations of MRI-related hepatic steatosis and hepatic
iron overload with prediabetes were investigated. Prediabetes was categorized into IFG, IGT,
(alone or in combination) or previously unknown type 2 diabetes mellitus using OGGT data, as
suggested by the ADA. For analyses, we included 1632 subjects with MRI who participated in
an OGTT and reported no type 2 diabetes mellitus. We found that hepatic steatosis was
positively associated with continuous markers of glucose metabolism. Similarly, subjects with
hepatic steatosis as defined by MRI had a higher relative risk ratio to be in the prediabetes
groups (i-IFG, i-IGT and IFG + IGT) or having undiagnosed diabetes than individuals without
this condition. The observed associations were more obvious for MRI-derived hepatic steatosis
compared to ultrasound. In comparison to hepatic steatosis, we found that MRI-assessed hepatic
iron overload was positively associated only with both 2-hour plasma glucose and the combined
IFG + IGT category. There were no significant associations between hepatic iron overload and
other glucose tolerance states or biomarkers of glucose metabolism, regardless of possible
confounding factors.
In the second part, the associations of liver volume and other markers of hepatic steatosis with
all-cause mortality in the general population were investigated. We included 2769 middle-aged
German subjects with a median follow-up of 8.9 years (23,898 person-years). Serum liver
enzymes and FIB-4 score were used as quantitative markers, while MRI measurements of liver
fat content and total liver volume included as qualitative markers of hepatic steatosis. Compared
to other markers of hepatic steatosis, larger liver volumes were significantly associated with a
nearly three-fold increase in the long-term risk of all-cause mortality. Furthermore, this
association was consistent across all subgroups considered (men vs. women; presence or absence
of metabolic syndrome or type 2 diabetes at baseline). A positive association between FIB-4
score and all-cause mortality was found both in the entire cohort and in women. Likewise,
positive associations of higher serum AST and GGT levels with all-cause mortality were found
in the entire cohort and in men.
To conclude, this dissertation acknowledges the fact that prevention and early intervention of
liver dysfunction has major impact to reduce the burden of public health problems. Thus, our
findings suggest that hepatic markers contributes to an increased risk of prediabetes and all-cause
mortality, which might be helpful to identify high risk groups who need closer attention with
respect to prevention of liver disorders and diabetes.