Pattern and Predictors of Infection Among Patients With Rheumatological Disease on Immunosuppressive Medications: A Retrospective Study in a Tertiary Care Hospital in Bangladesh.

Background Immunomodulatory therapy for chronic rheumatic disease carries a risk for infectious complications. In Bangladesh, there is limited information regarding patterns and factors associated with infections among patients receiving immunosuppressive medications. Objective The present study aimed to find out patterns and predictors associated with infection among patients who were on different immunosuppressive medications due to chronic rheumatological disease. Methodology This was a retrospective study; all confirmed cases of (new and old) different rheumatological diseases on disease-modifying agents attended at the rheumatology clinic of Dhaka Medical College Hospital from January 2019 to December 2021 were enrolled. Result Among 489 cases, 90 (18.4%) patients had documented infections. The most common rheumatological diseases were systemic lupus erythematosus (28, 31.1%), ankylosing spondylitis (26, 28.8%), and rheumatoid arthritis (20, 22.2%). COVID-19 (28, 31.1%) was the most commonly occurring infection followed by urinary tract infection (14, 15.6%), fungal infection (12, 13.3%), herpes zoster (10, 11.1%), pulmonary tuberculosis (TB) (eight, 8.8%), latent TB (seven, 7.7%), community-acquired pneumonia (six, 6.6%), and sepsis (three, 3.3%). Infection was most prevalent among patients who received steroids of more than 10 mg per day (17, 18.8%) than those less than 10 mg steroid per day (six, 6.7%), Factors associated with infections were (odds ratio, 95% CI, p-value) underweight (2.3, [1.3-2.7], 0.001), anemia (1.8, [1.1-5.7], 0.01), neutropenia (1.6, [1.1-2.9], <0.002), hypoalbuminemia (3.1, [1.6-4.9], 0.001), hypovitaminosis D (1.9, [1.3-4.5], 0.001), high blood sugar (1.5, [1.1-5.3], 0.02), inadequate counseling of steroid side effect (1.7, [1.1-3.9], 0.03), prednisolone >10mg/day (2.2, [1.19-4.10], 0.001). Conclusion COVID-19 pneumonia, urinary tract infections, fungal infection, tuberculosis, herpes zoster, and community-acquired pneumonia were commonly occurring infections among patients receiving different immunosuppressive medications. Factors like poor nutritional status, presence of anemia, leucopenia, hypoalbuminemia, hyperglycemia, and hypovitaminosis D had a significant association with infection. Moreover, inadequate counseling of steroid side effects and history of daily intake of prednisolone (>10mg/day) were also significant factors associated with infection.

Association of ABO blood groups with presentation and outcomes of confirmed SARS CoV-2 infection: A prospective study in the largest COVID-19 dedicated hospital in Bangladesh.

BACKGROUND: Globally, studies have shown conflicting results regarding the association of blood groups with SARS CoV-2 infection. OBJECTIVE: To observe the association between ABO blood groups and the presentation and outcomes of confirmed COVID-19 cases. DESIGN, SETTING, AND PARTICIPANTS: This was a prospective cohort study of patients with mild-to-moderately severe COVID-19 infections who presented in the COVID-19 unit of Dhaka Medical College Hospital and were enrolled between 01 June and 25 August, 2020. Patients were followed up for at least 30 days after disease onset. We grouped participants with A-positive and A-negative blood groups into group I and participants with other blood groups into group II. RESULTS: The cohort included 438 patients; 52 patients were lost to follow-up, five died, and 381 completed the study. The prevalence of blood group A [144 (32.9%)] was significantly higher among COVID-19 patients than in the general population (p < 0.001). The presenting age [mean (SD)] of group I [42.1 (14.5)] was higher than that of group II [38.8 (12.4), p = 0.014]. Sex (p = 0.23) and co-morbidity (hypertension, p = 0.34; diabetes, p = 0.13) did not differ between the patients in groups I and II. No differences were observed regarding important presenting symptoms, including fever (p = 0.72), cough (p = 0.69), and respiratory distress (p = 0.09). There was no significant difference in the median duration of symptoms in the two group (12 days), and conversion to the next level of severity was observed in 26 (20.6%) and 36 patients (13.8%) in group I and II, respectively. However, persistent positivity of RT-PCR at 14 days of initial positivity was more frequent among the patients in group I [24 (19%)] than among those in group II [29 (11.1%)]. CONCLUSIONS: The prevalence of blood group A was higher among COVID-19 patients. Although ABO blood groups were not associated with the presentation or recovery period of COVID-19, patients with blood group A had delayed seroconversion.

Ivermectin in combination with doxycycline for treating COVID-19 symptoms: a randomized trial.

OBJECTIVE: We evaluated whether ivermectin combined with doxycycline reduced the clinical recovery time in adults with COVID-19 infection. METHODS: This was a randomized, blinded, placebo-controlled trial in patients with mild-to-moderate COVID-19 symptoms randomly assigned to treatment (n = 200) and placebo (n = 200) groups. The primary outcome was duration from treatment to clinical recovery. Secondary outcomes were disease progression and persistent COVID-19 positivity by RT-PCR. RESULTS: Among 556 screened patients, 400 were enrolled and 363 completed follow-up. The mean patient age was 40 years, and 59% were men. The median recovery time was 7 (4-10, treatment group) and 9 (5-12, placebo group) days (hazard ratio, 0.73; 95% confidence interval, 0.60-0.90). The number of patients with a ≤7-day recovery was 61% (treatment group) and 44% (placebo groups) (hazard ratio, 0.06; 95% confidence interval, 0.04-0.09). The proportion of patients who remained RT-PCR positive on day 14 and whose disease did not progress was significantly lower in the treatment group than in the placebo group. CONCLUSIONS: Patients with mild-to-moderate COVID-19 infection treated with ivermectin plus doxycycline recovered earlier, were less likely to progress to more serious disease, and were more likely to be COVID-19 negative by RT-PCR on day 14. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04523831. DATA REPOSITORY ID: Dryad. doi:10.5061/dryad.qjq2bvqf6.

Clinical and Laboratory Characteristics of an Acute Chikungunya Outbreak in Bangladesh in 2017.

From April to September 2017, Bangladesh experienced a huge outbreak of acute Chikungunya virus infection in Dhaka. This series describes the clinical and laboratory features of a large number of cases (690; 399 confirmed and 291 probable) suffered during that period. This observational study was carried out at Dhaka Medical College Hospital, Bangladesh. The median age of the patients at presentation was 38 years (IQR 30-50) with a male (57.3%) predominance. Hypertension and diabetes were the most common comorbidities. The mean (±SD) duration of fever was 3.7 (±1.4) days. Other common manifestations were arthralgia (99.2%), maculopapular rash (50.2%), morning stiffness (49.7%), joint swelling (48.5%), and headache (37.6%). Cases were confirmed by anti-chikungunya IgG (173; 43.3%), IgM (165; 42.3%), and reverse transcription polymerase chain reaction (44; 11.0%). Important laboratory findings include high erythrocyte sedimentation rate (156; 22.6%), raised serum glutamic pyruvic transaminase (73; 10.5%), random blood sugar (54; 7.8%), leukopenia (72; 10.4%), thrombocytopenia (41; 5.9%), and others. The oligo-articular (453; 66.1%) variety of joint involvement was significantly more common compared with the poly-articular (237; 34.5%) variety. Commonly involved joints were the wrist (371; 54.1%), small joints of the hand (321; 46.8%), ankle (251; 36.6%), knee (240; 35.0%), and elbow (228; 33.2%). Eleven cases were found to be complicated with neurological involvement and two of them died. Another patient died due to myocarditis. Public health experts, clinicians, and policymakers could use the results of this study to construct the future strategy tackling chikungunya in Bangladesh and other epidemic countries.