Study on Blood Pressure, e-GFR, Serum Albumin, C-reactive Protein in Normal Subjects and Patients with CKD.

In general, Kidney diseases are silent with no apparent early symptoms and chronic kidney disease (CKD) is marked by gradual loss of kidney function over time. High rate of inflammation is common in CKD and it causes high CRP level. High CRP levels are associated with low e-GFR and low serum albumin level. This study was conducted to determine the changes of blood pressure, estimated glomerular filtration rate, serum albumin and C-reactive protein in chronic kidney diseased patients and compared with healthy subjects. This analytical type of cross sectional study was carried out in the Department of Physiology, Mymensingh Medical College, Bangladesh from July 2021 to June 2022. A total number of 140 subjects, age range between 25-70 years were included in this study. Among them, 70 healthy subjects were taken as control group (Group I) with 35 male (IA) and 35 female (IB) and 70 chronic kidney diseased patients were taken as study group (Group II) with 35 male (IIA) and 35 female (IIB). Calculation of estimated glomerular filtration rate (eGFR) was done by chronic kidney disease epidemiology collaboration (CKD-EPI) equation. Data were expressed as mean±SD and statistical significance difference among the group were calculated by unpaired t-test. In this study, we found that eGFR (in IIA 29.83±0.73 ml/min and in IIB 30.80±0.73ml/min) and serum albumin (in IIA 2.96±0.04g/dl in IIB 2.07±0.02g/dl) were significantly decreased in study group in comparison to control group. Blood pressure (SBP in IIA 150.57±1.70 mm of Hg, in IIB 143.71±1.32 mm of Hg and DBP in IIA 94.40±0.70 and in IIB 91.20±0.70 mm of Hg) and C-reactive protein (CRP) (in IIA 12.14±0.90mg/l and in IIB 21.80±2.58mg/l) were significantly increased in study group in comparison to control group. CKD is associated with increased risks of several co-morbidities including cardiovascular complications and chronic renal failure. Detection of CKD at an early stage helps to reduce the progression of renal disease and burden of end stage renal disease.

A Study on Outcome of Surgical Treatment of Chronic Retrocalcaneal Bursitis.

Retrocalcaneal bursitis is one of the important causes of posterior heel pain which is due to repetitive friction of the retrocalcaneal bursa between the postero-superior calcaneal tuberosity (haglund deformity) and Achilles tendon. Most of the patients are treated by conservative methods. But when the condition becomes chronic and not responding to the conservative treatment, surgical treatment is an option of these cases. This prospective interventional study was conducted in the Department of Orthopaedic Surgery, BSMMU (Bangabandhu Sheikh Mujib Medical University), Dhaka, Bangladesh from September 2017 to August 2019. Within this period, total 40 cases of chronic retrocalcaneal bursitis were operated at BSMMU. The clinical and functional outcome was evaluated according to AOFAS (American Orthopedic Foot Ankle Society) scale. The results of this study showed significantly improvement of pain, functional status and deformity at the time of final follow-up period of 1 year, total mean score improved from 46/100 to 89/100. The outcome of the subjects was satisfactory 90% and unsatisfactory 10%. Surgical intervention is an effective option of treatment with satisfactory outcome, in the treatment of chronic retrocalcaneal bursitis.

The accuracy of fully automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.

BACKGROUND: Surveillance for healthcare-associated infections such as healthcare-associated urinary tract infections (HA-UTI) is important for directing resources and evaluating interventions. However, traditional surveillance methods are resource-intensive and subject to bias. AIM: To develop and validate a fully automated surveillance algorithm for HA-UTI using electronic health record (EHR) data. METHODS: Five algorithms were developed using EHR data from 2979 admissions at Karolinska University Hospital from 2010 to 2011: (1) positive urine culture (UCx); (2) positive UCx + UTI codes (International Statistical Classification of Diseases and Related Health Problems, 10th revision); (3) positive UCx + UTI-specific antibiotics; (4) positive UCx + fever and/or UTI symptoms; (5) algorithm 4 with negation for fever without UTI symptoms. Natural language processing (NLP) was used for processing free-text medical notes. The algorithms were validated in 1258 potential UTI episodes from January to March 2012 and results extrapolated to all UTI episodes within this period (N = 16,712). The reference standard for HA-UTIs was manual record review according to the European Centre for Disease Prevention and Control (and US Centers for Disease Control and Prevention) definitions by trained healthcare personnel. FINDINGS: Of the 1258 UTI episodes, 163 fulfilled the ECDC HA-UTI definition and the algorithms classified 391, 150, 189, 194, and 153 UTI episodes, respectively, as HA-UTI. Algorithms 1, 2, and 3 had insufficient performances. Algorithm 4 achieved better performance and algorithm 5 performed best for surveillance purposes with sensitivity 0.667 (95% confidence interval: 0.594-0.733), specificity 0.997 (0.996-0.998), positive predictive value 0.719 (0.624-0.807) and negative predictive value 0.997 (0.996-0.997). CONCLUSION: A fully automated surveillance algorithm based on NLP to find UTI symptoms in free-text had acceptable performance to detect HA-UTI compared to manual record review. Algorithms based on administrative and microbiology data only were not sufficient.

FAST implementation in Bangladesh: high frequency of unsuspected tuberculosis justifies challenges of scale-up.

SETTING: National Institute of Diseases of the Chest and Hospital, Dhaka; Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders, Dhaka; and Chittagong Chest Disease Hospital, Chittagong, Bangladesh. OBJECTIVE: To present operational data and discuss the challenges of implementing FAST (Find cases Actively, Separate safely and Treat effectively) as a tuberculosis (TB) transmission control strategy. DESIGN: FAST was implemented sequentially at three hospitals. RESULTS: Using Xpert® MTB/RIF, 733/6028 (12.2%, 95%CI 11.4-13.0) patients were diagnosed with unsuspected TB. Patients with a history of TB who were admitted with other lung diseases had more than twice the odds of being diagnosed with unsuspected TB as those with no history of TB (OR 2.6, 95%CI 2.2-3.0, P < 0.001). Unsuspected multidrug-resistant TB (MDR-TB) was diagnosed in 89/1415 patients (6.3%, 95%CI 5.1-7.7). Patients with unsuspected TB had nearly five times the odds of being diagnosed with MDR-TB than those admitted with a known TB diagnosis (OR 4.9, 95%CI 3.1-7.6, P < 0.001). Implementation challenges include staff shortages, diagnostic failure, supply-chain issues and reliance on external funding. CONCLUSION: FAST implementation revealed a high frequency of unsuspected TB in hospitalized patients in Bangladesh. Patients with a previous history of TB have an increased risk of being diagnosed with unsuspected TB. Ensuring financial resources, stakeholder engagement and laboratory capacity are important for sustainability and scalability.