This longitudinal follow-up study of 203 patients with serologically confirmed chikungunya (CHIK) virus infection describes the clinical features of CHIK fever during the first and tenth months of illness. During the acute stage CHIK fever presents with a wide array of symptoms. The foremost chronic symptoms at the end of a month were rheumatism (75%) and fatigue (30%). During the tenth month of follow-up the symptoms/signs observed were joint pain/swelling (46%), fatigue (13%) and neuritis (6%). The cure rate at the end of 9 months was 51%. Among the patients who had joint pain, 36% (34/94) met the American College of Rheumatology criteria to classify them as having rheumatoid arthritis. A subpopulation of the patients with joint pain (20/94) was tested for rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) antibody, and the joints were imaged by X-ray and magnetic resonance imaging (MRI). All tested negative for RF and one tested positive for anti-CCP. A radiolucent lesion in the X-ray was seen in the bones of five patients. The MRI findings were joint effusion, bony erosion, marrow oedema, synovial thickening, tendinitis and tenosynovitis. The study proves with relative certainty that CHIK arthritis is chronic inflammatory erosive arthritis, which has implications for management of the infection.

Chikungunya virus (CHIKV) has caused large outbreaks worldwide in recent years. Acute-phase CHIKV infection has been reported to cause mild to severe febrile illness, and in some patients, this may be followed by long-lasting polyarthritis. The mainstay of treatment includes nonsteroidal anti-inflammatory drugs and other disease-modifying agents, the use of which is based on the assumption of an immunological interference mechanism in the pathogenesis. The present study has been designed to generate preliminary evidence to test this hypothesis. The levels of 30 cytokines were estimated in serum samples of acute CHIKV-infected patients, fully-recovered patients, patients with chronic CHIKV arthritis, and controls, using a quantitative multiplex bead ELISA. The levels of the proinflammatory cytokines IL-1 and IL-6 were elevated in acute patients, but IFN-γ/β and TNF-α levels remained stable. IL-10, which might have an anti-inflammatory effect, was also elevated, indicating a predominantly anti-inflammatory response in the acute phase of infection. Elevation of MCP-1, IL-6, IL-8, MIP-1α, and MIP-1β was most prominent in the chronic phase. These cytokines and chemokines have been shown to play important roles in other arthritides, including epidemic polyarthritis (EPA) caused by Ross River virus (RRV) and rheumatoid arthritis (RA).The immunopathogenesis of chronic CHIKV arthritis might have similarities to these arthritides. The novel intervention strategies being developed for EPA and RA, such as IL-6 and IL-8 signaling blockade, may also be considered for chronic CHIKV arthritis.

BackgroundData on prevalence, pattern of tobacco use, proportion of population dependent on nicotine and their determinants are important for developing and implementing tobacco control strategies. The aim of the study was to estimate the prevalence and determinants of tobacco use and nicotine dependency.MethodsA cross-sectional survey among a representative sample of 18,018 individuals in the age group of >=14 years was conducted in the Union Territory of Andaman and Nicobar Islands during 2007–09. A structured questionnaire, a modified version of an instrument which was used successfully in several multi-country epidemiological studies of the World Health Organisation, was used to survey individual socio-demographic details, known co-morbid conditions, tobacco use and alcohol use. Fagerström Test for Nicotine Dependence (FTND) was used to estimate nicotine dependence.ResultsThe response rate of our survey was 97% (18,018/18,554). Females (n = 8,888) were significantly younger than males (34.3 + 14.6 Vs 36.2 + 15.4 years). The prevalence of current tobacco use in any form was 48.9% (95% CI: 48.2–49.6). Tobacco chewing alone was prevalent in 40.9% (95% CI: 40.1–41.6) of the population. While one tenth of males (9.7%, 95% CI: 9.1–10.4) were nicotine dependent, it was only 3% (95% CI: 2.7–3.4) in females. Three fourth of the tobacco users initiated use of tobacco before reaching 21 years of age. Age, current use of alcohol, poor educational status, marital status, social groups, and co-morbidities were the main determinants of tobacco use and nicotine dependence in the population.ConclusionThe high prevalence of tobacco use especially the chewing form of tobacco in the Union Territory of Andaman and Nicobar Islands and the differences in prevalence and pattern of tobacco use and nicotine dependency observed across subgroups warrants implementation of culturally specific tobacco control activities in this population.

BackgroundThe household is a potentially important but understudied unit of analysis and intervention in chronic disease research. We sought to estimate the association between living with someone with a chronic condition and one’s own chronic condition status.Methods and findingsWe conducted a cross-sectional analysis of population-based household- and individual-level data collected in 4 socioculturally and geographically diverse settings across rural and urban India in 2013 and 2014. Of 10,703 adults ages 18 years and older with coresiding household members surveyed, data from 7,522 adults (mean age 39 years) in 2,574 households with complete covariate information were analyzed. The main outcome measures were diabetes (fasting plasma glucose ≥ 126 mg/dL or taking medication), common mental disorder (General Health Questionnaire score ≥ 12), hypertension (blood pressure ≥ 140/90 mmHg or taking medication), obesity (body mass index ≥ 30 kg/m2), and high cholesterol (total blood cholesterol ≥ 240 mg/dL or taking medication). Logistic regression with generalized estimating equations was used to model associations with adjustment for a participant’s age, sex, education, marital status, religion, and study site. Inverse probability weighting was applied to account for missing data. We found that 44% of adults had 1 or more of the chronic conditions examined. Irrespective of familial relationship, adults who resided with another adult with any chronic condition had 29% higher adjusted relative odds of having 1 or more chronic conditions themselves (adjusted odds ratio [aOR] = 1.29; 95% confidence interval [95% CI] 1.10–1.50). We also observed positive statistically significant associations of diabetes, common mental disorder, and hypertension with any chronic condition (aORs ranging from 1.19 to 1.61) in the analysis of all coresiding household members. Associations, however, were stronger for concordance of certain chronic conditions among coresiding household members. Specifically, we observed positive statistically significant associations between living with another adult with diabetes (aOR = 1.60; 95% CI 1.23–2.07), common mental disorder (aOR = 2.69; 95% CI 2.12–3.42), or obesity (aOR = 1.82; 95% CI 1.33–2.50) and having the same condition. Among separate analyses of dyads of parents and their adult children and dyads of spouses, the concordance between the chronic disease status was striking. The associations between common mental disorder, hypertension, obesity, and high cholesterol in parents and those same conditions in their adult children were aOR = 2.20 (95% CI 1.28–3.77), 1.58 (95% CI 1.15–2.16), 4.99 (95% CI 2.71–9.20), and 2.57 (95% CI 1.15–5.73), respectively. The associations between diabetes and common mental disorder in husbands and those same conditions in their wives were aORs = 2.28 (95% CI 1.52–3.42) and 3.01 (95% CI 2.01–4.52), respectively. Relative odds were raised even across different chronic condition phenotypes; specifically, we observed positive statistically significant associations b...