Pathomolecular epidemiology, antimicrobial resistance, and virulence genes of Streptococcus dysgalactiae subsp. equisimilis isolates from slaughtered pigs in India.

AIMS: We aimed to investigate the prevalence, pathology, and characterization of Streptococcus dysgalactiae subsp. equisimilis (SDSE) in slaughtered pigs of India. METHODS AND RESULTS: We collected 1254 morbid tissues (lungs-627 and spleen-627) and 627 heart-blood from 627 slaughtered pigs. The bacterial isolation, antibiogram, virulence gene profiling, and mouse pathogenicity testing were performed for the detection and characterization of SDSE. A total of 177 isolates (heart-blood-160 and tissues-17) were recovered from 627 slaughtered pigs with higher isolation rate in heart-blood (25.51%). The prevalence of SDSE was 11% in morbid tissues by polymerase chain reaction. Majority of isolates showed higher detection of streptolysin O, followed by streptokinase and extracellular phospholipase A virulence genes with higher degree of resistance to azithromycin, clindamycin, erythromycin, and penicillin antibiotics. Mouse pathogenicity testing confirmed virulence based on histopathological lesions and re-isolation of SDSE. CONCLUSIONS: Our findings highlight the high prevalence of SDSE in slaughtered pigs. The presence of virulence genes and mouse pathogenicity testing confirm their pathogenic potential.

Atraumatic gluteal compartment syndrome-an unusual presentation of a rare syndrome.

ABSTRACT: Atraumatic gluteal compartment syndrome is a limb- and potentially life-threatening emergency. It is rare, with few reported cases, and can be difficult to diagnosis; a high index of suspicion is required for prompt diagnosis and management. This paper presents the case of a 36-year-old female who was brought into the emergency department following a prolonged period of unconsciousness. She had a delayed diagnosis of gluteal compartment syndrome associated with sciatic nerve palsy and underwent surgical decompression. Following surgery, the patient's symptoms resolved completely. This case highlights that in cases of delayed diagnosis, surgical decompression can still address patient morbidity and improve outcomes.

Semi-extended extra-synovial (SEES) tibial intramedullary nailing technique: Up to 10 year retrospective analysis of outcomes and anterior knee pain rates.

Background: Tibial intramedullary nailing is a common method of fixation for fractures of the tibia, with several approaches described. Anterior knee pain is a common complication following nailing, but the reported incidence of knee pain varies in the literature between 10 % and 86 %. There is considerable variation in incidence between nailing techniques, with an exact aetiology still unknown. We investigated the reported incidence of anterior knee pain in patients undergoing tibial nailing using the semi-extended extra synovial (SEES) technique at a Major Trauma Centre (MTC) in the UK. Methods: A retrospective review of tibial fractures treated with the SEES technique between December 2012 to February 2021. Data collected included patient demographics, mechanism of injury, fracture characteristics, length of stay, union rates and re-operation rates. Primary outcomes were anterior knee pain rates and patient reported outcome measures (PROM), the Kujala Score. Secondary outcomes were rates of union and complications. Results: 55 fractures were identified in 53 patients. Male: Female ratio was 32:21. The average age was 45.5 years. 96 % were unilateral fractures; with 53 % being right-sided. 21(38 %) fractures were open. Prior to definitive nailing 21 fractures had temporary stabilisation with an external fixator (Ex-Fix) ± wound debridement whilst the rest received plaster backslab immobilisation. 13 of the open fractures required soft tissue cover. 75 % of patients had initial surgery (SEES Nailing/Ex-Fix) within 4 days. There was a 91 % union rate with a median time to full radiographic union of 14 months. One post-operative complication of wound dehiscence was recorded. The mean follow-up time was 13.6 months. 15 % of patients reported anterior knee pain in the postoperative follow-up period. The average Kujala PROM score was 85 (Range: 52-100). Conclusion/findings: The SEES technique had favourable PROM scores and displayed a lower incidence of anterior knee pain than the traditional infrapatellar approach. Knee pain rates were comparable to suprapatellar approaches without violating the knee joint. Disclosures: None.

A study on the occurrence of Burkholderia cepacia complex in ultrasound gels used in different veterinary clinical settings in India.

Burkholderia cepacia complex (Bcc) organisms are emerging multidrug-resistant pathogens. They are opportunistic and cause severe diseases in humans that may result in fatal outcomes. They are mainly reported as nosocomial pathogens, and transmission often occurs through contaminated pharmaceutical products. From 1993 to 2019, 14 Bcc outbreaks caused by contaminated ultrasound gels (USGs) have been reported in several countries, including India. We screened a total of 63 samples of USGs from various veterinary and human clinical care centers across 17 states of India and isolated 32 Bcc strains of Burkholderia cenocepacia (46.8%), B. cepacia (31.3%), B. pseudomultivorans (18.8%) and B. contaminans (3.1%) species. Some isolates were co-existent in a single ultrasound gel sample. The isolation from unopened gel bottles revealed the intrinsic contamination from manufacturing sites. The MALDI-TOF analysis to identify the Bcc at the species level was supported by the partial sequencing of the recA gene for accurate species identification. The phylogenetic analysis revealed that isolates shared clades with human clinical isolates, which is an important situation because of the possible infections of Bcc by USGs both in humans and animals. The pulsed field gel electrophoresis (PFGE) typing identified the genetic variation among the Bcc isolates present in the USGs. The findings indicated USGs as the potential source of Bcc species.

Analysis of bluetongue disease epizootics in sheep of Andhra Pradesh, India using spatial and temporal autocorrelation.

Bluetongue (BT) disease poses a constant risk to the livestock population around the world. A better understanding of the risk factors will enable a more accurate prediction of the place and time of high-risk events. Mapping the disease epizootics over a period in a particular geographic area will identify the spatial distribution of disease occurrence. A Geographical Information System (GIS) based methodology to analyze the relationship between bluetongue epizootics and spatial-temporal patterns was used for the years 2000 to 2015 in sheep of Andhra Pradesh, India. Autocorrelation (ACF), partial autocorrelation (PACF), and cross-correlation (CCF) analyses were carried out to find the self-dependency between BT epizootics and their dependencies on environmental factors and livestock population. The association with climatic or remote sensing variables at different months lag, including wind speed, temperature, rainfall, relative humidity, normalized difference vegetation index (NDVI), normalized difference water index (NDWI), land surface temperature (LST), was also examined. The ACF & PACF of BT epizootics with its lag showed a significant positive autocorrelation with a month's lag (r = 0.41). Cross-correlations between the environmental variables and BT epizootics indicated the significant positive correlations at 0, 1, and 2 month's lag of rainfall, relative humidity, normalized difference water index (NDWI), and normalized difference vegetation index (NDVI). Spatial autocorrelation analysis estimated the univariate global Moran's I value of 0.21. Meanwhile, the local Moran's I value for the year 2000 (r = 0.32) showed a high degree of spatial autocorrelation. The spatial autocorrelation analysis revealed that the BT epizootics in sheep are having considerable spatial association among the outbreaks in nearby districts, and have to be taken care of while making any forecasting or disease prediction with other risk factors.

Spatio-temporal and time series analysis of bluetongue outbreaks with environmental factors extracted from Google Earth Engine (GEE) in Andhra Pradesh, India.

This study describes the spatial and temporal patterns of bluetongue (BT) outbreaks with environmental factors in undivided Andhra Pradesh, India. Descriptive analysis of the reported BT outbreaks (n = 2,697) in the study period (2000-2017) revealed a higher frequency of outbreaks during monsoon and post-monsoon months. Correlation analysis of Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), rainfall and relative humidity (RH) displayed a significant positive correlation with BT outbreaks (p < .05). Retrospective unadjusted space-time, adjusted temporal and spatial analysis detected two, five and two statistically significant (p < .05) clusters, respectively. Time series distribution lag analysis examined the temporal patterns of BT outbreaks with environmental, biophysical factors and estimated that a decrease in 1 unit of rainfall (mm) was associated with 0.2% increase in the outbreak at lag 12 months. Similarly, a 1°C increase in land surface temperature (LST) was associated with 6.54% increase in the outbreaks at lag 12 months. However, an increase in 1 unit of wind speed (m/s) was associated with a 16% decrease in the outbreak at lag 10 months. The predictive model indicated that the peak of BT outbreaks were from October to December, the post-monsoon season in Andhra Pradesh region. The findings suggest that environmental factors influence BT outbreaks, and due to changes in climatic conditions, we may notice higher numbers of BT outbreaks in the coming years. The knowledge of spatial and temporal clustering of BT outbreaks may assist in adopting proper measures to prevent and control the BT spread.

Antimicrobial resistance pattern of extended-spectrum ß-lactamase-producing Escherichia coli isolated from fecal samples of piglets and pig farm workers of selected organized farms of India.

BACKGROUND AND AIM: Extended-spectrum ß-lactamase (ESBL)-producing Escherichia coli are gradually increasing worldwide and carry a serious public threat. This study aimed to determine the antimicrobial resistance pattern of ESBL-producing E. coli isolated from fecal samples of piglets and pig farm workers. MATERIALS AND METHODS: Fecal samples from <3-month-old piglets (n=156) and farm workers (n=21) were processed for the isolation of ESBL-producing E. coli in MacConkey agar added with 1 µg/mL of cefotaxime. E. coli (piglets=124; farm workers=21) were tested for ESBL production by combined disk method and ESBL E-strip test. Each of the ESBL-positive isolate was subjected to antibiotic susceptibility testing. The ESBL-producing E. coli were further processed for genotypic confirmation to CTX-M gene. RESULTS: A total of 55 (44.4%, 55/124) and nine (42.9%, 9/21) ESBL-producing E. coli were isolated from piglets and farm workers, respectively. Antibiotic susceptibility testing of the ESBL-positive E. coli isolates from piglets and farm workers showed 100% resistance to ceftazidime, cefotaxime, cefotaxime/clavulanic acid, ceftazidime/clavulanic acid, and cefpodoxime. A proportion of 100% (55/55) and 88.9% (8/9) ESBL-positive E. coli were multidrug resistance (MDR) in piglets and farm workers, respectively. On genotypic screening of the ESBL E. coli isolated from piglets (n=55), 15 were positive for the bla CTX-M gene and of the nine ESBL E. coli from farm workers, none were positive for the bla CTX-M gene. CONCLUSION: Although there was no significant difference in isolation of ESBL-producing E. coli between piglets and farm workers, the ESBL-positive E. coli from piglets showed relatively higher MDR than farm workers.