Prevalencia de la enfermedad reumática en Colombia, según estrategia COPCORD-Asociación Colombiana de Reumatología. Estudio de prevalencia de enfermedad reumática en población colombiana mayor de 18 años

Londoño, John; Ballestas, Ingris Peláez; Cuervo, Francy; Angarita, Ignacio; Giraldo, Rodrigo; Rueda, Juan C.; Ballesteros, Jesús G.; Baquero, Roberto; Forero, Elías; Cardiel, Mario H.; Saldarriaga, Eugenia-Lucía; Vásquez, Andrés; Arias, Sofía; Valero, Lina; González, Camilo; Ramírez, Javier; Toro, Carlos; Santos, Ana Maria Ribeiro dos

doi:10.1016/j.rcreu.2018.08.003

Cited by 36 publications

(21 citation statements)

References 32 publications

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“…When looking for differences between imaging classification groups in order to identify whether variables could influence their presentation, it was found that there was no relationship between sex, BMI, or SS by performing Fisher's exact test (p-0.88, p-0.26, and p-0.232, respectively) and the classification into four groups (1 to 4) of the venous anatomy ( Table 3 ) . A significant relationship was found between the magnitude of the intraoperative bleeding (p < 0.01) and the degree of classification on the BDV scale, finding decreasing intraoperative bleeding rates in ascending types of classification (3)(4), indicating a more favorable venous configuration. Likewise, when assessing intraoperative time and its possible link to classification, it was found that patients with lower classification values were prone to present a prolonged surgical time (p < 0.01).…”

Section: Perceived Surgical Difficulty and Berbeo Scale -Diaz -Vargasmentioning

confidence: 87%

Venous anatomy of the lumbar region applied to anterior lumbar interbody fusion (ALIF): Proposal of a new classification

Moreno

Diaz-Orduz

Berbeo-Calderón

2021

North American Spine Society Journal (NASSJ)

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Background: Anterior lumbar interbody fusion (ALIF) is a good alternative for the surgical treatment of lumbar degenerative disc disease. The primary vascular complications regarding this intervention involve the common iliac vein bifurcation complex (CIVC). Currently, no classification system allows defining which patients are more prone to these complications. We aimed to perform a retrospective study evaluating the anatomy of the common iliac CIVC at the L5-S1 disc proposing a novel classification system as it relates to the ALIF difficulty. Methods: 91 consecutive patients who underwent ALIF at the L5-S1 level were included. We categorize the CIVC at the L5-S1 disc space into four types according to the veins position along the disc space. The patient records were reviewed for demographic information, surgical characteristics, and complications. The surgical difficulty was rated at the end of the procedure. Results: 54% of the patients were women. The mean age was 52.5 ± 14.8 years. Mean surgical bleeding was 152 ml (range 20ml -3000 ml), and mean surgical time was 79 ± 13.3 minutes. Berbeo-Diaz-Vargas (BDV) classification type 4 was found in 43.9% of the patients. The surgical complexity was associated with the bleeding magnitude and surgical time spent (p < 0.01), not being related to the corporal mass index or sacral slope. Bleeding magnitude, surgical time, and surgical complexity were significantly related to the BDV classification system (p < 0.01). Weighted Cohen´s kappa index for the BDV scale was 0.89 (95% IC 0.822 -0.974). Conclusions: BDV scale is a reliable and reproducible tool for the classification of CIVC significantly related to a higher incidence of bleeding, prolonged operating time, and increased perceived difficulty by the surgeon.

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Section: Perceived Surgical Difficulty and Berbeo Scale -Diaz -Vargasmentioning

confidence: 87%

Venous anatomy of the lumbar region applied to anterior lumbar interbody fusion (ALIF): Proposal of a new classification

Moreno

Diaz-Orduz

Berbeo-Calderón

2021

North American Spine Society Journal (NASSJ)

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“…Methods: The IEXPAC scale ("Instrument to Evaluate the EXperience of PAtients with Chronic diseases", http://www.iemac.es/iexpac/) was developed and validated in Spain by health care professional and social organizations, experts in quality of healthcare and chronic patients (1). It consists of 12 items with Likert responses from "always" to "never" and yields an overall score from 0 (worst) to 10 (best experience).…”

Section: Referencesmentioning

confidence: 99%

“…The prevalence is 10.81% (IC 95,) (1). Objectives: To estimate the disease burden of OA for 2015 Methods: A descriptive study was developed.…”

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confidence: 99%

Ab1206 self-Report of Fracture History Compared to Fracture Codes From an Electronic Health Record Dataset

Danila

Mudano

Rahn

et al. 2019

Abstracts Accepted for Publication

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Background:Self-reported fracture history data is frequently used in epidemiological studies of osteoporosis. Self-reported fracture data may differ from fracture history coded in electronic health records (EHR) due to imperfect patient recall, incomplete communication with clinicians, or lack of a universal EHR. Because both self-reported fracture history and EHR data can define phenotypes for clinical research studies, it is important to understand how these 2 data sources compare.Objectives:To compare self-reported fracture history using survey data with fracture codes from an available EHR dataset.Methods:Self-reported fracture data was derived from the Activating Patients at Risk for OsteoPOroSis (APROPOS) trial, which recruited participants from the Global Longitudinal study of Osteoporosis in Women (GLOW) cohort. Prior fracture data was collected using a survey deployed June - August 2015. Women were asked if they ever had a fracture and for each fracture type the date of the most recent one. Data on fractures recorded in the EHR September 2011 - June 2015 was obtained from Kaiser Permanente Washington Health Research Institute. We excluded skull, toes and fingers fractures. We defined concordance between the EHR and self-reported data if the location of a fracture was reported to be the same and if the reported dates were within 1 year of each other. Kappa (κ) statistic described the concordance between the 2 sources of fracture history. Descriptive statistics evaluated potential factors associated with discordance between the self-reported and EHR-coded fracture history.Results:A total of 133 fractures from 360 women (91% white, mean[SD)] age 74.5(7.5) years, 82% had some college education) were included. There were 35 fractures reported on the survey but not in the EHR and 39 fractures coded in the EHR but not in the survey. Agreement between self-reported and EHR fractures was κ 0.48. Of the discordant fractures, we were more likely to find claims for fractures in EHR referent to self-report among whites (OR=5.5, 95%CI 1.1-27.9), for major osteoporotic fractures (OR=2.8, 95%CI 1.1-7.1), and for fragility fractures that typically require hospitalization (vertebral, hip, femur, pelvis) (OR=3.8, 95%CI 1.3-10.7). Discordance between EHR codes and self-reported fractures did not vary by age, formal education, or health literacy.Conclusion:There was only modest correlation between self-reported fracture history and EHR fracture codes. This discrepancy may have implications for clinical and epidemiological studies of fractures suggesting that combining both types of data may be optimal.Disclosure of Interests::Maria Danila Grant/research support from: Pfizer, Inc., Consultant for: Sanofi Genzyme & Regeneron, Amy Mudano: None declared, Elizabeth Rahn: None declared, Andrea LaCroix: None declared, Jeffrey Curtis: None declared, Kenneth Saag Grant/research support from: Amgen, Ironwood/AstraZeneca, Horizon, SOBI, Takeda, Consultant for: Abbvie, Amgen, Ironwood/AstraZeneca, Bayer, Gilead, Horizon, Kowa, Radius, Ro...

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“…The AIDs have a global prevalence of approximately 3% and, in Colombia, one that is close to 5%. Therefore, this group of diseases is known to cause a significant hospital and even economic burden [ 4 , 5 ]. A meta-analysis (2013) done in Colombia, found that, of all the patients with an AID admitted to the emergency department, up to 25% required hospitalization and, of these, up to one third required care and support in the ICU [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding rheumatoid arthritis (RA), the main causes of hospital readmission were cardiovascular disease, musculoskeletal affection, and respiratory disease, based on a study of a North American population [ 11 ]. There is data on the prevalence of other AIDs such as Systemic Sclerosis (SS) or Sjögren Syndrome (SjS) [ 5 , 12 ], but data regarding hospitalizations or readmissions of patients with these diseases are scarce. There is no information either on the readmission of patients with polyautoimmunity, a term that refers to the coexistence of more than one autoimmune disease in a single individual, and which is prevalent in 34.4% of patients with AIDs [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of hospital readmissions and related factors in patients with autoimmune diseases

Morales-Tisnés

Quintero-Ortiz

Quintero-Muñoz

et al. 2021

Journal of Translational Autoimmunity

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Objective Autoimmune diseases generate an impact on the morbidity and mortality of patients and are a burden for the health system through hospital admissions and readmissions. The prevalence of readmission of patients with these diseases has not yet been described as a group, but rather as sub-phenotype. The objective of this study is to determine the prevalence of hospital readmissions in a Colombian population with autoimmunity and the factors related to readmission. Methods All patients with autoimmune diseases who were evaluated by the rheumatology service and hospitalized between August 2018 and December 2019 at the Fundación Hospital Infantil Universitario De San José de Bogotá were described. A bivariate analysis was done, and three multivariate logistic regression models were built with the dependent variable being readmission. Results Of the total 199 admissions, 131 patients were evaluated and 32% were readmitted. The most frequent sub-phenotype in both groups (readmission and no readmission) was SLE (51% and 59%). The most frequent cause of hospitalization and readmission was disease activity (68.7% and 64.3%). History of hypertension was associated with readmission (adjusted OR: 2.98–95% CI: 1.15–7.72). In a second model adjusted for confounding variables, no factor was associated. In a third model analyzing the history of kidney disease and previous use of immunosuppressants (adjusted for confounding variables), the previous use of immunosuppressants was related to readmission (OR: 2.78–95% CI 1.12–6.89). Conclusion Up to a third of patients with autoimmunity were readmitted and arterial hypertension was an associated factor. This suggested a greater systemic compromise and accumulated damage in patients who have these two conditions that may favor readmission. A history of immunosuppressant use may play a role in readmission, possibly by increasing the risk of developing infections.

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Prevalencia de la enfermedad reumática en Colombia, según estrategia COPCORD-Asociación Colombiana de Reumatología. Estudio de prevalencia de enfermedad reumática en población colombiana mayor de 18 años

Cited by 36 publications

References 32 publications

Venous anatomy of the lumbar region applied to anterior lumbar interbody fusion (ALIF): Proposal of a new classification

Venous anatomy of the lumbar region applied to anterior lumbar interbody fusion (ALIF): Proposal of a new classification

Ab1206 self-Report of Fracture History Compared to Fracture Codes From an Electronic Health Record Dataset

Prevalence of hospital readmissions and related factors in patients with autoimmune diseases

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