Association of Arthritis Onset with Influenza: Analysis of the Canadian Early Inflammatory Arthritis Cohort

Кудаева, Ф. М.; Speechley, Mark; Klar, Neil; Schieir, Orit; Bartlett, Susan J.; Bessette, Louis; Boire, Gilles; Hazlewood, Glen; Hitchon, Carol; Keystone, Edward; Tin, D.; Thorne, Carter; Bykerk, Vivian P.; Pope, Janet

doi:10.1002/acr2.1009

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…In this ecological study, there was not an apparent association. 36 It may be that patients who had influenza had better primary care follow-up or other competing risks, or patients who were observed more closely received the influenza vaccine and were also more likely to have diagnoses such as 1 of these inflammatory diseases. Cohort studies are needed to better study the association between these infections and the development of inflammatory arthritis or psoriasis.…”

Section: Discussionmentioning

confidence: 99%

Risk Factors for Diagnosis of Psoriatic Arthritis, Psoriasis, Rheumatoid Arthritis, and Ankylosing Spondylitis: A Set of Parallel Case-control Studies

et al. 2021

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Objective To compare potential risk factors for the diagnosis of psoriatic arthritis (PsA), psoriasis, rheumatoid arthritis (RA), and ankylosing spondylitis (AS). Methods Four parallel case-control studies were conducted within The Health Improvement Network using data between 1994 and 2015. Patients with PsA, psoriasis, RA, or AS were identified using validated code lists and matched to controls on age, sex, practice, and year. Risk factors were selected in the time prior to diagnosis. Multivariable logistic regression models were constructed for each disease using automated stepwise regression to test potential risk factors. Results Patients with incident PsA (N=7,594), psoriasis (N=111,375), RA (N=28,341), and AS (N=3, 253) were identified and matched to 75,930, 1,113,345, 282,226, and 32,530 controls, respectively. Median diagnosis age was 48 (IQR 38-59), 41 (31-54), 43 (31-54), and 60 (48-71), respectively. In multivariable models, there were some shared and some differing risk factors across all 4 diseases: PsA was associated with obesity, pharyngitis, and skin infections; PsA and psoriasis were associated with obesity and moderate alcohol intake; PsA and AS were associated with uveitis; and PsA and RA were associated with preceding gout. Both RA and AS were associated with current smoking, former moderate drinking, anemia, osteoporosis, and inflammatory bowel disease. All shared former or current smoking as a risk factor; statin use was inversely associated with all 4 diseases. Conclusion Shared and different risk factors for PsA, psoriasis, RA, and AS were identified. Statin use was inversely associated with all 4 conditions.

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Section: Discussionmentioning

confidence: 99%

Risk Factors for Diagnosis of Psoriatic Arthritis, Psoriasis, Rheumatoid Arthritis, and Ankylosing Spondylitis: A Set of Parallel Case-control Studies

et al. 2021

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Considerations for a study using the Health Assessment Questionnaire to predict all‐cause mortality in early rheumatoid arthritis: comment on the article by Fatima et al

Yeh

Wei

2021

Arthritis & Rheumatology

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bias may occur. To estimate the association between disability measured by HAQ and mortality without the influence of bias, it is necessary to either use the suggested definition of HAQ progression or adjust for baseline HAQ score in the HAQ at 1-year models.Our second concern is with regard to the study's external validity. Fatima and colleagues emphasized that their study had good external validity because the cohort used in their study, the Canadian Early Arthritis Cohort (CATCH), was designed with a sample size that they seem to have considered to be sufficient for reliable estimation of an association with mortality (2); however, of the 3,195 participants with early RA in their cohort, only 1,724 participants (54.0%) were eligible in the final analysis, which suggests a reduction in external validity. Furthermore, there were no details regarding missing data, which may cause a reduction in sample size.In addition, Fatima et al presented the DAS28 using C-reactive protein level (DAS28-CRP) and the DAS28 using erythrocyte sedimentation rate (DAS28-ESR) as comparable disease activity measures, but each of these (DAS-CRP and DAS-ESR) are calculated using different formulas and thus may not be interchangeable among patients with high disease activity, such as the participants in the study by Fatima et al (7). Such an incomplete presentation of the data implies that data are missing. To avoid further reduction of sample size due to missing data, the authors should have described the missing data and dealt with them in an appropriate manner (e.g., multiple imputations) (8).In summary, the results of the study by Fatima et al and the interpretations of those results may be biased due to insufficient internal validity (i.e., inaccurate statistical models) and reduced external validity (i.e., reduced sample size regarding eligible participants and missing data). Both internal and external validity are essential in clinical research; therefore, further studies that compensate for the limitations mentioned above are still warranted.

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A New Method for Predicting Bacterial Pneumonia in Patients With Influenza and Other Acute Respiratory Viral Infections

Амбалов

Сизякин

Дударев

et al. 2020

Med. vestn. Ûga Ross.

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Purpose: to develop an effective and affordable method for a practical doctor to predict the development of bacterial pneumonia in patients with influenza and other acute respiratory viral infections. Materials and methods: to develop a method for predicting bacterial pneumonia in patients with influenza and other acute respiratory viral infections, a continuous group of 247 patients was formed: 63 of them were diagnosed with bacterial pneumonia for 5-7 days of illness, and the remaining 184 had verified infectious diseases in uncomplicated form. Evaluation of the effectiveness of the proposed forecast method was performed on 150 patients with influenza and other acute respiratory viral infections. The technical basis of this study was the Extech 110 pH meter, with which the observed acidity of the skin of the lower third of the palmar surface of the forearm was studied on the 1-2, 3-4, 7-10 days of the disease. Results: the developed method for predicting bacterial pneumonia in patients with influenza and other acute respiratory viral infections is characterized by prostate use, as well as high rates of sensitivity, specificity and accuracy.Conclusions: the pH level of the skin of the palmar surface of the lower third of the forearm in patients with influenza and other acute respiratory viral infections of less than 4.80 is a statistically significant prognostic criterion for the development of this category of patients in the next 2-3 days of bacterial pneumonia.

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Association of Arthritis Onset with Influenza: Analysis of the Canadian Early Inflammatory Arthritis Cohort

Cited by 4 publications

References 32 publications

Risk Factors for Diagnosis of Psoriatic Arthritis, Psoriasis, Rheumatoid Arthritis, and Ankylosing Spondylitis: A Set of Parallel Case-control Studies

Risk Factors for Diagnosis of Psoriatic Arthritis, Psoriasis, Rheumatoid Arthritis, and Ankylosing Spondylitis: A Set of Parallel Case-control Studies

Considerations for a study using the Health Assessment Questionnaire to predict all‐cause mortality in early rheumatoid arthritis: comment on the article by Fatima et al

A New Method for Predicting Bacterial Pneumonia in Patients With Influenza and Other Acute Respiratory Viral Infections

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