scholarly journals The Risk of Osteoporosis and Osteoporotic Fracture Following the Use of Irritable Bowel Syndrome Medical Treatment: An Analysis Using the OMOP CDM Database

2021 ◽  
Vol 10 (9) ◽  
pp. 2044
Author(s):  
Gyu Lee Kim ◽  
Yu Hyeon Yi ◽  
Hye Rim Hwang ◽  
Jinmi Kim ◽  
Youngmin Park ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Osteoporotic Fracture ◽  
Data Model ◽  
Large Scale ◽  
Osteoporotic Fractures ◽  
Common Data Model ◽  
Medical Outcomes ◽  
Treatment Of Osteoporosis ◽  
Increased Risk ◽  
Irritable Bowel

Patients with irritable bowel syndrome (IBS) are at increased risk of osteoporosis and osteoporotic fracture. This study investigated whether IBS medication attenuated the rate of osteoporosis and osteoporotic fracture risk. We conducted a retrospective large-scale multicenter study across eight hospital databases encoded in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The primary outcome was the incidence of osteoporosis, whereas secondary outcomes were osteoporotic fractures. After 1:4 matching, 24,723 IBS patients, 78,318 non-IBS patients, 427,640 non-IBS patients with IBS medication, and 827,954 non-IBS patients without IBS medication were selected. The risk of osteoporosis was significantly increased in the IBS group compared to the non-IBS group (hazard ratio (HR) 1.33; confidence interval (CI) 1.17~1.51). Even in patients who were not diagnosed with IBS, the risk of osteoporosis was significantly increased in those with IBS medication compared to those without (HR 1.77, CI 1.62~1.93). The risk of osteoporotic fracture was significantly increased in the IBS medication group (HR 1.69, CI 1.55~1.84). Patients exposed to IBS treatment even without IBS diagnosis were at increased risk of osteoporosis and osteoporotic fracture. Early diagnosis and treatment of osteoporosis should be considered in patients who have received medication for IBS symptoms.

scholarly journals Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership

2015 ◽  
Vol 06 (03) ◽  
pp. 536-547 ◽  
Author(s):  
F.S. Resnic ◽  
S.L. Robbins ◽  
J. Denton ◽  
L. Nookala ◽  
D. Meeker ◽  
...  
Keyword(s):  
Health Systems ◽  
Data Model ◽  
Comparative Effectiveness ◽  
Large Scale ◽  
Medication Administration ◽  
Use Cases ◽  
Common Data Model ◽  
Medical Outcomes ◽  
Data Set ◽  
Case Examples

SummaryBackground: Adoption of a common data model across health systems is a key infrastructure requirement to allow large scale distributed comparative effectiveness analyses. There are a growing number of common data models (CDM), such as Mini-Sentinel, and the Observational Medical Outcomes Partnership (OMOP) CDMs.Objective: In this case study, we describe the challenges and opportunities of a study specific use of the OMOP CDM by two health systems and describe three comparative effectiveness use cases developed from the CDM.Methods: The project transformed two health system databases (using crosswalks provided) into the OMOP CDM. Cohorts were developed from the transformed CDMs for three comparative effectiveness use case examples. Administrative/billing, demographic, order history, medication, and laboratory were included in the CDM transformation and cohort development rules.Results: Record counts per person month are presented for the eligible cohorts, highlighting differences between the civilian and federal datasets, e.g. the federal data set had more outpatient visits per person month (6.44 vs. 2.05 per person month). The count of medications per person month reflected the fact that one system‘s medications were extracted from orders while the other system had pharmacy fills and medication administration records. The federal system also had a higher prevalence of the conditions in all three use cases. Both systems required manual coding of some types of data to convert to the CDM.Conclusion: The data transformation to the CDM was time consuming and resources required were substantial, beyond requirements for collecting native source data. The need to manually code subsets of data limited the conversion. However, once the native data was converted to the CDM, both systems were then able to use the same queries to identify cohorts. Thus, the CDM minimized the effort to develop cohorts and analyze the results across the sites.FitzHenry F, Resnic FS, Robbins SL, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny ME. A Case Report on Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Appl Clin Inform 2015; 6: 536–547http://dx.doi.org/10.4338/ACI-2014-12-CR-0121

scholarly journals Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study (Preprint)

2021 ◽  
Author(s):  
Antoine Lamer ◽  
Osama Abou-Arab ◽  
Alexandre Bourgeois ◽  
Adrien Parrot ◽  
Benjamin Popoff ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Operating Room ◽  
Local Anesthesia ◽  
Data Model ◽  
Large Scale ◽  
Longitudinal Research ◽  
Data Reuse ◽  
Common Data Model ◽  
Anesthesia Care ◽  
Medical Outcomes

BACKGROUND Electronic health records (EHRs, such as those created by an anesthesia management system) generate a large amount of data that can notably be reused for clinical audits and scientific research. The sharing of these data and tools is generally affected by the lack of system interoperability. To overcome these issues, Observational Health Data Sciences and Informatics (OHDSI) developed the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) to standardize EHR data and promote large-scale observational and longitudinal research. Anesthesia data have not previously been mapped into the OMOP CDM. OBJECTIVE The primary objective was to transform anesthesia data into the OMOP CDM. The secondary objective was to provide vocabularies, queries, and dashboards that might promote the exploitation and sharing of anesthesia data through the CDM. METHODS Using our local anesthesia data warehouse, a group of 5 experts from 5 different medical centers identified local concepts related to anesthesia. The concepts were then matched with standard concepts in the OHDSI vocabularies. We performed structural mapping between the design of our local anesthesia data warehouse and the OMOP CDM tables and fields. To validate the implementation of anesthesia data into the OMOP CDM, we developed a set of queries and dashboards. RESULTS We identified 522 concepts related to anesthesia care. They were classified as demographics, units, measurements, operating room steps, drugs, periods of interest, and features. After semantic mapping, 353 (67.7%) of these anesthesia concepts were mapped to OHDSI concepts. Further, 169 (32.3%) concepts related to periods and features were added to the OHDSI vocabularies. Then, 8 OMOP CDM tables were implemented with anesthesia data and 2 new tables (EPISODE and FEATURE) were added to store secondarily computed data. We integrated data from 5,72,609 operations and provided the code for a set of 8 queries and 4 dashboards related to anesthesia care. CONCLUSIONS Generic data concerning demographics, drugs, units, measurements, and operating room steps were already available in OHDSI vocabularies. However, most of the intraoperative concepts (the duration of specific steps, an episode of hypotension, etc) were not present in OHDSI vocabularies. The OMOP mapping provided here enables anesthesia data reuse.

scholarly journals Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

10.2196/29259 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e29259
Author(s):  
Antoine Lamer ◽  
Osama Abou-Arab ◽  
Alexandre Bourgeois ◽  
Adrien Parrot ◽  
Benjamin Popoff ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Operating Room ◽  
Local Anesthesia ◽  
Data Model ◽  
Large Scale ◽  
Longitudinal Research ◽  
Data Reuse ◽  
Common Data Model ◽  
Anesthesia Care ◽  
Medical Outcomes

Background Electronic health records (EHRs, such as those created by an anesthesia management system) generate a large amount of data that can notably be reused for clinical audits and scientific research. The sharing of these data and tools is generally affected by the lack of system interoperability. To overcome these issues, Observational Health Data Sciences and Informatics (OHDSI) developed the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) to standardize EHR data and promote large-scale observational and longitudinal research. Anesthesia data have not previously been mapped into the OMOP CDM. Objective The primary objective was to transform anesthesia data into the OMOP CDM. The secondary objective was to provide vocabularies, queries, and dashboards that might promote the exploitation and sharing of anesthesia data through the CDM. Methods Using our local anesthesia data warehouse, a group of 5 experts from 5 different medical centers identified local concepts related to anesthesia. The concepts were then matched with standard concepts in the OHDSI vocabularies. We performed structural mapping between the design of our local anesthesia data warehouse and the OMOP CDM tables and fields. To validate the implementation of anesthesia data into the OMOP CDM, we developed a set of queries and dashboards. Results We identified 522 concepts related to anesthesia care. They were classified as demographics, units, measurements, operating room steps, drugs, periods of interest, and features. After semantic mapping, 353 (67.7%) of these anesthesia concepts were mapped to OHDSI concepts. Further, 169 (32.3%) concepts related to periods and features were added to the OHDSI vocabularies. Then, 8 OMOP CDM tables were implemented with anesthesia data and 2 new tables (EPISODE and FEATURE) were added to store secondarily computed data. We integrated data from 5,72,609 operations and provided the code for a set of 8 queries and 4 dashboards related to anesthesia care. Conclusions Generic data concerning demographics, drugs, units, measurements, and operating room steps were already available in OHDSI vocabularies. However, most of the intraoperative concepts (the duration of specific steps, an episode of hypotension, etc) were not present in OHDSI vocabularies. The OMOP mapping provided here enables anesthesia data reuse.

scholarly journals Irritable bowel syndrome and Parkinson’s disease risk: register-based studies

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Bojing Liu ◽  
Arvid Sjölander ◽  
Nancy L. Pedersen ◽  
Jonas F. Ludvigsson ◽  
Honglei Chen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Irritable Bowel Syndrome ◽  
Case Control Study ◽  
Case Control ◽  
Twin Registry ◽  
Increased Risk ◽  
Irritable Bowel ◽  
Nested Case Control ◽  
Control Study ◽  
Swedish Twin Registry

AbstractTo examine whether irritable bowel syndrome (IBS) was related to the future risk of Parkinson’s disease (PD), we conducted a nested case-control study in the Swedish total population including 56,564 PD cases identified from the Swedish Patient Register and 30 controls per case individually matched by sex and year of birth. Odds ratios (ORs) with 95% confidence intervals (CIs) for having a prior diagnosis of IBS were estimated using conditional logistic regression. We furthermore conducted a cohort study using the Swedish Twin Registry following 3046 IBS patients identified by self-reported abdominal symptoms and 41,179 non-IBS individuals. Through Cox proportional hazard models, we estimated hazard ratios (HRs) and 95% CIs for PD risk. In the nested case-control study, 253 (0.4%) PD cases and 5204 (0.3%) controls had a previous IBS diagnosis. IBS diagnosis was associated with a 44% higher risk of PD (OR = 1.44, 95% CI 1.27–1.63). Temporal relationship analyses showed 53% and 38% increased risk of PD more than 5 and 10 years after IBS diagnosis, respectively. In the cohort analysis based on the Swedish Twin Registry, there was no statistically significantly increased risk of PD related to IBS (HR = 1.25, 95% CI = 0.87–1.81). Our results suggest a higher risk of PD diagnosis after IBS. These results provide additional evidence supporting the importance of the gut–brain axis in PD.

scholarly journals Risks of Major Mental Disorders and Irritable Bowel Syndrome among the Offspring of Parents with Irritable Bowel Syndrome: A Nationwide Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4679
Author(s):  
Ta-Chuan Yeh ◽  
Ya-Mei Bai ◽  
Shih-Jen Tsai ◽  
Tzeng-Ji Chen ◽  
Chih-Sung Liang ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Mental Disorders ◽  
Autism Spectrum ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Early Implementation ◽  
Increased Risk ◽  
Nationally Representative ◽  
Irritable Bowel

Irritable bowel syndrome (IBS) is a functional bowel disorder that is highly comorbid with mental disorders. However, few studies have examined the risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder, major depressive disorder (MDD), and schizophrenia in the offspring of parents with IBS. We used nationally representative cross-sectional survey data to analyze cross-generational transmission patterns of both IBS and major mental disorders. Odds ratio (OR) was calculated by using logistic regression models with adjustment for potential confounding factors. Offspring of parents with IBS were more likely to develop IBS themselves (OR = 2.41, 95% confidence interval (CI), 2.09–2.78), ADHD (OR = 1.33, 95% CI, 1.08–1.62), and MDD (OR = 1.32, 95% CI, 1.04–1.68) than the controls. Data stratification by parental sex revealed that paternal IBS increased risk of ADHD (OR = 1.34, 95% CI, 1.01–1.77) in the offspring, while maternal IBS increased the risk of MDD (OR = 1.51, 95% CI, 1.11–2.06). This is the first study to reveal parental IBS is associated with IBS, ADHD, and MDD among offspring, suggesting the necessity for early implementation of prevention strategies for at-risk children.

Intolerance to environmental chemicals and sounds in irritable bowel syndrome: Explained by central sensitization?

2016 ◽  
Vol 23 (10) ◽  
pp. 1367-1377 ◽  
Author(s):  
Linnea Ståhlberg ◽  
Eva Palmquist ◽  
Steven Nordin
Keyword(s):  
Irritable Bowel Syndrome ◽  
Traumatic Stress ◽  
Large Scale ◽  
Population Based ◽  
Environmental Chemicals ◽  
Post Traumatic Stress ◽  
Scale Population ◽  
Post Traumatic ◽  
Irritable Bowel ◽  
Behavioral Disruptions

This study tested the hypotheses of irritable bowel syndrome showing (1) comorbidity with chemical and sound intolerance, other types of functionally somatic syndromes, and psychiatric disorders and (2) stronger than normal affective reactions to and behavioral disruptions from odorous/pungent chemicals and sounds in daily life. These hypotheses were tested by means of data from a large-scale population-based questionnaire study. The results showed comorbidity in irritable bowel syndrome with chemical and sound intolerance, fibromyalgia, migraine, post-traumatic stress disorder, generalized anxiety disorder, panic syndrome, and depression as well as strong reactions/disruptions from odorous/pungent chemicals and sounds in irritable bowel syndrome.

Exposure to Severe Wartime Conditions in Early Life Is Associated With an Increased Risk of Irritable Bowel Syndrome: A Population-Based Cohort Study

2009 ◽  
Vol 104 (9) ◽  
pp. 2250-2256 ◽  
Author(s):  
Tamira K Klooker ◽  
Breg Braak ◽  
Rebecca C Painter ◽  
Susanne R de Rooij ◽  
Ruurd M van Elburg ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Cohort Study ◽  
Early Life ◽  
Population Based ◽  
Increased Risk ◽  
Irritable Bowel

scholarly journals Association betweenH. pyloriinfection and health Outcomes: an umbrella review of systematic reviews and meta-analyses

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e031951
Author(s):  
Liqun Li ◽  
Jinjing Tan ◽  
Lijian Liu ◽  
Jianfeng Li ◽  
Guangwen Chen ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Health Outcomes ◽  
Systematic Reviews ◽  
Cochrane Library ◽  
Significant Heterogeneity ◽  
Umbrella Review ◽  
Increased Risk ◽  
H Pylori ◽  
Irritable Bowel ◽  
Meta Analyses

ObjectiveSystematic reviews and meta-analyses have revealed the associations betweenH. pyloriinfection and various health outcomes. We aimed to evaluate the strength and breadth of evidence on the associations.DesignUmbrella review of systematic reviews and meta-analyses.SettingNo settings.ParticipantsNo patients involved.Data sourcesEmbase, PubMed, Web of Science, Cochrane Library Databases, CNKI, VIP database and Wangfang database from inception to February 1, 2019.Outcomes measuresDiverse diseases (such as cancer and ischaemic heart disease).ResultsSixty articles reporting 88 unique outcomes met the eligible criteria. 74 unique outcomes had nominal significance (p<0.05). Of the outcomes with significance, 61 had harmful associations and 13 had beneficial associations. Furthermore, 73% (64) of the outcomes exhibited significant heterogeneity . Of the these meta-analyses, 32 had moderate to high heterogeneity (I2=50%–75%) and 24 had high heterogeneity (I2>75%). Moreover, 20% exhibited publication bias (p<0.1). In addition, 97% of the methodological qualities were rated ‘critically low’. 36% of the evidence qualities of outcomes were rated ‘low’, 56% of the evidence qualities were rated ‘very low’ and 8% of the evidence qualities were rated ‘moderate’.H. pyloriinfection may be associated with an increased risk of five diseases and a decreased risk of irritable bowel syndrome.ConclusionAlthough 60 meta-analyses explored 88 unique outcomes, moderate quality evidence only existed for six outcomes with statistical significance.H. pyloriinfection may be associated with a decreased risk of irritable bowel syndrome and an increased risk of hypertriglyceridemia, chronic cholecystitis and cholelithiasis, gestational diabetes mellitus, gastric cancer and systemic sclerosis.Trial registrationCRD42019124680.

scholarly journals Clinical Effects and Safety of Tongxieyaofang on Diarrhea Predominant Irritable Bowel Syndrome: A Meta-Analysis of Randomized Trails

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Yuhong Zhou ◽  
Shutang Han ◽  
Yamin He
Keyword(s):  
Irritable Bowel Syndrome ◽  
Large Scale ◽  
Primary Outcome ◽  
Meta Analysis ◽  
Effective Rate ◽  
Risk Of Bias ◽  
Clinical Effects ◽  
Randomized Controlled ◽  
Study Results ◽  
Irritable Bowel

Background. Tongxieyaofang (TXYF), a prescription originated from traditional Chinese medicine (TCM), has been widely used on treating Diarrhea Predominant Irritable Bowel Syndrome (IBS-D). The purpose of this meta-analysis was to investigate whether TXYF was effective and safe for IBS-D. Methods. We searched seven electronic databases including CENTRAL, MEDLINE, PubMed, CNKI, VIP, CBM, and Wanfang Data up to 26 July 2017. Randomized controlled trails (RCTs) were eligible, regardless of blinding. Risk of bias of included trials was evaluated according to the Cochrane Handbook. Results. The total number of participants analyzed in the meta-analysis was 3062, of which 1556 received TXYF, while 1506 received ordinary treatment. The primary outcome was clinical effective rate. Compared with conventional medication which included probiotics, pinaverium bromide, trimebutine, and Oryzanol, TXYF significantly improved the clinical effective rate (n=37, OR: 4.61; 95% CI: 3.67–5.78; P < 0.00001) and decreased the adverse events (n=10, OR: 0.26; 95% CI: 0.08–0.86; P = 0.03). There was not significant association with the score of abdominal pain, defecating frequency, fecal property, and total symptom. Conclusions. We suggested a moderate recommendation for TXYF on IBS-D, due to the fact that the risk of bias of the finally included trails was not high. Considering that all identified studies were not of high qualities and large samples, further rigorously designed and large scale RCTs were necessary to improve the applicability of our study results.

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