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BACKGROUND: Currently, there is no automated method for assessing cleanliness in video capsule endoscopy (VCE). Our objectives were to automate the process of evaluating and collecting medical scores of VCE frames according to the existing KOrea-CanaDA (KODA) scoring system by developing an easy-to-use mobile application called artificial intelligence-KODA (AI-KODA) score, as well as to determine the inter-rater and intra-rater reliability of the KODA score among three readers for prospective AI applications, and check the efficacy of the application. METHOD: From the 28 patient capsule videos considered, 1539 sequential frames were selected at five-minute intervals, and 634 random frames were selected at random intervals during small bowel transit. The frames were processed and shifted to AI-KODA. Three readers (gastroenterology fellows), who had been trained in reading VCE, rated 2173 frames in duplicate four weeks apart after completing the training module on AI-KODA. The scores were saved automatically in real time. Reliability was assessed for each video using estimate of intra-class correlation coefficients (ICCs). Then, the AI dataset was developed using the frames and their respective scores, and it was subjected to automatic classification of the scores via the random forest and the k-nearest neighbors classifiers. RESULTS: For sequential frames, ICCs for inter-rater variability were 'excellent' to 'good' among the three readers, while ICCs for intra-rater variability were 'good' to 'moderate'. For random frames, ICCs for inter-rater and intra-rater variability were 'excellent' among the three readers. The overall accuracy achieved was up to 61% for the random forest classifier and 62.38% for the k-nearest neighbors classifier. CONCLUSIONS: AI-KODA automates the process of scoring VCE frames based on the existing KODA score. It saves time in cleanliness assessment and is user-friendly for research and clinical use. Comprehensive benchmarking of the AI dataset is in process.
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(1) Background: Antibiotic surveillance data are crucial to map out strategies to promote their optimal use at hospital and community levels. We conducted a comprehensive analysis of longitudinal trends in antibiotic consumption over 7 years at a core "National Antimicrobial Consumption Network" site in North India. (2) Methods: In-patient antibiotic consumption data (2017-2023) were obtained from the hospital's central drug store and organised as follows: defined daily dose per 100 bed-days; antibiotic consumption as per the WHO access, watch and reserve classification; trends in overall and different antibiotic classes' consumption; paediatric formulations of antibiotics; and hospital's annual expenditure on antibiotics. (3) Results: During the 7-year study period, no significant trend could be observed in the overall antibiotic consumption (average annual percent change, AAPC: 9.22; 95% CI: -16.46, 34.9) and cost (AAPC: 13.55; -13.2, 40.3). There was a higher proportion of the consumption of antibiotics in the "reserve" group from 2021 onwards compared to previous years, but the overall trend over 7 years was not significant (AAPC: 319.75; -137.6, 777.1). Antibiotic combinations, classified under the WHO "not recommended" category, comprised a significant proportion of antibiotics consumed. A remarkably increased consumption of azithromycin and doxycycline was recorded during 2020 and 2021, coinciding with the COVID-19 pandemic. (4) Conclusions: Some recommendations to optimise antibiotic use are promoting the use of narrow spectrum "access" group agents; linking antimicrobial resistance and consumption data to formulate effective therapeutic and prophylactic antibiotic use guidelines; and the adoption of restrictive antibiotic policy.
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An automated scoring system for cleanliness assessment during video capsule endoscopy (VCE) is presently lacking. The present study focused on developing an approach to automatically assess the cleanliness in VCE frames as per the latest scoring i.e., Korea-Canada (KODA). Initially, an easy-to-use mobile application called artificial intelligence-KODA (AI-KODA) score was developed to collect a multi-label image dataset of twenty-eight patient capsule videos. Three readers (gastroenterology fellows), who had been trained in reading VCE, rated this dataset in a duplicate manner. The labels were saved automatically in real-time. Inter-rater and intra-rater reliability were checked. The developed dataset was then randomly split into train:validate:test ratio of 70:20:10 and 60:20:20. It was followed by a comprehensive benchmarking and evaluation of three multi-label classification tasks using ten machine learning and two deep learning algorithms. Reliability estimation was found to be overall good among the three readers. Overall, random forest classifier achieved the best evaluation metrics, followed by Adaboost, KNeighbours, and Gaussian naive bayes in the machine learning-based classification tasks. Deep learning algorithms outperformed the machine learning-based classification tasks for only VM labels. Thorough analysis indicates that the proposed approach has the potential to save time in cleanliness assessment and is user-friendly for research and clinical use. Further research is required for the improvement of intra-rater reliability of KODA, and the development of automated multi-task classification in this field.
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BACKGROUND: Half of patients admitted to medicine units report sleep disruption, which increases the risk of sleep deprivation. Non-pharmacological interventions are the first step to improving sleep. However, utilization of sleep aids continues to be prevalent. Limited data are available on sleep aid prescribing practices across transitions of care. OBJECTIVES: The aim of this study was to describe the current practices for assessing sleep and prescribing pharmacologic agents to promote sleep in the adult medicine population. METHODS: This study was designed as a single-center, retrospective, observational cohort study of all patients discharged by the general medicine teams over a 3-month period (September 2019- November 2019). Prior to admission, inpatient and discharge prescriptions for sleep aids were recorded, and documentation of sleep assessments and non-pharmacological interventions were evaluated. RESULTS: Of 754 patients included, 211 (28%) were prescribed a sleep aid while inpatient. During hospitalization, 124 (16%) patients had at least one documented sleep assessment, and only 22 (3%) were ordered the institutional non-pharmacological sleep promotion order set. The most prescribed sleep aid in inpatients was melatonin (50%), as well as prior to admission (35%) and at discharge (25%). Overall, the relative reduction in sleep aid prescriptions between admission and discharge was 67%. CONCLUSION: Inpatient sleep aid prescribing is common in medical patients. Despite this, sleep assessments and the standard of care of non-pharmacological interventions are rarely utilized. Future efforts should focus on implementation of strategies to make sleep assessments and non-pharmacological sleep promotion routine and consistent in the inpatient setting.
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Hospitalização , Pacientes Internados , Humanos , Estudos Retrospectivos , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Hospitalização/estatística & dados numéricos , Pacientes Internados/estatística & dados numéricos , Sono , Melatonina/uso terapêutico , Adulto , Estudos de Coortes , Alta do Paciente/estatística & dados numéricos , Padrões de Prática Médica/estatística & dados numéricos , Idoso de 80 Anos ou maisRESUMO
Trichophyton is a dermatophytic fungi causing superficial skin infections which affects outermost layer of the epidermis, stratum corneum, and mainly involves feet, groin, scalp, and nails. Invasion into the dermis occurs mainly in immunocompromised patients. A 75-year-old hypertensive female presented with a nodular swelling on the dorsum of right foot for 1 month. The swelling was 1.0 × 1.0 cm and gradually progressive in nature. FNAC revealed many thin filamentous branching and fungal hyphae along with foreign body granulomas and suppurative acute inflammation. The swelling was excised and sent for histopathological examination which confirmed the above findings. Periodic Acid Schiff stain showed fungal hyphae in both cytology smear as well as histopathology section. On fungal culture, microconidia with septate hyphae suggestive of Trichophyton rubrum was seen. Trichophytons mainly affect immunocompromised and diabetic patients, however, may present as nodular lesions without any history of superficial dermatophytosis as seen in the present case. The characteristic cytological picture helped to clinch the diagnosis in this case and facilitated further management.
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Tinha , Humanos , Feminino , Idoso , Tinha/microbiologia , Trichophyton , Couro CabeludoRESUMO
Cancer is a leading cause of death across the globe, in which lung cancer constitutes the maximum mortality rate. Early diagnosis through computed tomography scan imaging helps to identify the stages of lung cancer. Several deep learning-based classification methods have been employed for developing automatic systems for the diagnosis and detection of computed tomography scan lung slices. However, the diagnosis based on nodule detection is a challenging task as it requires manual annotation of nodule regions. Also, these computer-aided systems have yet not achieved the desired performance in real-time lung cancer classification. In the present paper, a high-speed real-time transfer learning-based framework is proposed for the classification of computed tomography lung cancer slices into benign and malignant. The proposed framework comprises of three modules: (i) pre-processing and segmentation of lung images using K-means clustering based on cosine distance and morphological operations; (ii) tuning and regularization of the proposed model named as weighted VGG deep network (WVDN); (iii) model inference in Nvidia tensor-RT during post-processing for the deployment in real-time applications. In this study, two pre-trained CNN models were experimented and compared with the proposed model. All the models have been trained on 19,419 computed tomography scan lung slices, which were obtained from the publicly available Lung Image Database Consortium and Image Database Resource Initiative dataset. The proposed model achieved the best classification metric, an accuracy of 0.932, precision, recall, an F1 score of 0.93, and Cohen's kappa score of 0.85. A statistical evaluation has also been performed on the classification parameters and achieved a p-value <0.0001 for the proposed model. The quantitative and statistical results validate the improved performance of the proposed model as compared to state-of-the-art methods. The proposed framework is based on complete computed tomography slices rather than the marked annotations and may help in improving clinical diagnosis.
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Neoplasias Pulmonares , Interpretação de Imagem Radiográfica Assistida por Computador , Humanos , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Pulmão/diagnóstico por imagem , Pulmão/patologia , Neoplasias Pulmonares/diagnóstico por imagem , Neoplasias Pulmonares/patologia , Tomografia Computadorizada por Raios X/métodos , Aprendizado de MáquinaRESUMO
Gastritis related to immunotherapy use is a less commonly reported adverse effect. With increasing use of immunotherapy agents in the management of patients with endometrial cancer, even rare adverse effects are being seen more frequently in gynecologic oncology practice. A 66-year-old with recurrent mismatch repair deficient endometrial cancer was treated with single-agent pembrolizumab. She initially appeared to tolerate treatment well; however after 16 months of therapy she began to develop nausea, vomiting, and abdominal pain that resulted in 30-pound weight loss. Pembrolizumab was held out of concern for immunotherapy related toxicity. She underwent evaluation with gastroenterology including esophagogastroduodenoscopy (EGD) with biopsy that demonstrated severe lymphocytic gastritis. She was treated with IV methylprednisolone with improvement in symptoms over three days. She was then transitioned to oral prednisone at 60 mg daily with weekly taper by 10 mg, with a proton pump inhibitor (PPI) and carafate until resolution of symptoms. She subsequently had a follow up EGD with biopsy, which demonstrated resolving gastritis. She is presently doing well off of steroids with stable disease noted on her last scan after cessation of pembrolizumab.
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Data on Point Prevalence Surveys (PPSs) in India are limited yet. We report findings of a PPS conducted in a core "National Antimicrobial Consumption Network site" under National Centre for Disease Control - WHO project "Point prevalence survey of antimicrobial consumption at healthcare facilities." A cross-sectional survey was conducted as per the "WHO methodology for PPS on antibiotic use in hospitals" in a tertiary care hospital in India in December 2021. Data were collected using predesigned and pretested questionnaire in separate hospital, ward, and patient forms. Eight hundred two inpatients (excluding ICUs) were covered out of whom 299 (37.3%) were on antibiotics with 11.7% receiving 3 or more antibiotics. Surgical prophylaxis (SP) (42.5%) and community acquired infections (32.8%) were the most common indications for antibiotic use. Of the patients, 92.5% received SP for more than 24 hrs. Most commonly prescribed antibiotics were penicillins with beta-lactamase inhibitors (22.3%). Of the total antibiotic prescriptions, 81.5% were from WHO essential medicines list and 12% from "not recommended" WHO AWaRe classification. Of the antibiotic prescriptions, 84.6% were parenteral. Few prescriptions complied with standard treatment guidelines (1.9%), documented indication for antibiotic use (11.6%), and stop/review date (4.4%) in notes. Double anaerobic cover accounted for 6.8% of the total prescriptions. Some identified areas for improvement were: formulation of hospital antibiotic guidelines, promoting culture of sending cultures, improvement in surgical antibiotic prophylaxis, decreasing use of antibiotic combinations and double anaerobic cover, fostering IV to oral switch of antibiotics, and ensuring effective communication among health care workers by documenting adequate information in medical notes.
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Antibacterianos , Pacientes Internados , Humanos , Antibacterianos/farmacologia , Prevalência , Estudos Transversais , Prescrições de Medicamentos , Testes de Sensibilidade Microbiana , Inquéritos e Questionários , Penicilinas , Inibidores de beta-Lactamases/uso terapêutico , Índia/epidemiologia , Organização Mundial da SaúdeRESUMO
Petersdorf and Beeson first defined fever of unknown origin (FUO) in 1961, and subsequently, over the next 60 years, the definition of FUO has changed considerably. In the western world, non-infectious inflammatory diseases are the most common cause of FUO; however, in developing countries, infections remain the leading cause of FUO. Dermatomyositis (DM) is an autoimmune inflammatory disease of unknown aetiology which mainly affects skin and muscles. Anti-melanoma differentiation-associated protein 5 (MDA-5) positive DM generally presents with classical cutaneous manifestations, early interstitial lung disease, and patients generally do not have clinical features of muscle involvement. We present a case of a 39-year-old male who presented with FUO and hepatitis and was diagnosed as clinically amyopathic DM after two weeks of admission. Subsequently, he was found to have a high titre of Anti-MDA-5 antibody. This is the first case of Anti-MDA-5 positive DM presenting as FUO and hepatitis with a favourable outcome to the best of our knowledge.
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Cancer, a crucial global health problem, is characterized by abnormal cell division and uncontrolled growth. According to WHO, cancer is the second leading cause of global deaths and accounted for approximately 9.6 million deaths or one in six deaths in 2018. The National Cancer Registry Programme Report 2020, released by the ICMRIndia, estimated that there would be 13,90,000 cases of cancer in India in 2020 and that this number is likely to rise to 15,70,000 by 2025. In spite of several anti-cancer drugs, cancer cannot be cured completely, especially at late stages. In the current era, almost every person is suffering from some kind of disease. Thus, it is the necessity of time to develop novel, potent bioactive molecules. Many researchers are working on the development of new lead molecules or finding a new biological target for the betterment of human beings. However, heterocycles are constantly being used for the discovery of new lead molecules. Many of the clinically approved drugs contain the heterocyclic core as these molecules show exhilarating pharmaceutical properties, including anti-cancer agents such as methotrexate, vinblastine, vincristine, daunorubicin, 5-fluorouracil, doxorubicin, etc. Thus, heterocyclic compounds provide a fascinating research area for the design and development of anti-cancer drug(s). Herein, we focused on the natural as well as synthetic anti-cancer heterocyclic compounds. Furthermore, efforts have been made toward the mechanism of action of selected heterocyclic anti-cancer compounds.
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Antineoplásicos , Compostos Heterocíclicos , Neoplasias , Antineoplásicos/farmacologia , Antineoplásicos/uso terapêutico , Daunorrubicina/uso terapêutico , Doxorrubicina/uso terapêutico , Fluoruracila , Compostos Heterocíclicos/farmacologia , Compostos Heterocíclicos/uso terapêutico , Humanos , Metotrexato , Neoplasias/tratamento farmacológico , Preparações Farmacêuticas , Vimblastina , VincristinaRESUMO
Disseminated tuberculosis (TB) associated with mesenteric arteritis has not been established in children. We present the case of an 8-year-old woman who presented with TB and superior mesenteric artery stenosis. Although rare, large vessel involvement from Takayasu arteritis can occur in TB. Evaluation for mesenteric vessel involvement should be considered in pediatric patients presenting with widely disseminated TB and abdominal pain.
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Artéria Mesentérica Superior/diagnóstico por imagem , Artéria Mesentérica Superior/microbiologia , Arterite de Takayasu/complicações , Tuberculose/complicações , Criança , Feminino , Humanos , Radiografia , Tórax/diagnóstico por imagem , Tuberculose/sangueRESUMO
BACKGROUND: Both incidence and mortality of uterine cancer are on the rise and mortality is higher for African American women. The aim of our study was to evaluate how Next Generation Sequencing (NGS) may facilitate identification of and intervention for treatment disparities when integrated into clinical workflows. RESULTS: Our cohort included 159 uterine cancer patients with recurrent/progressive and newly diagnosed advanced stage and/or high-risk histology. The most common tumor histological subtypes included EEC (n = 67), SEC (n = 34), UCS (n = 20), and mixed (n = 14). Black patients were most likely to present with aggressive histology: (SEC, 34.0%) and carcinosarcoma (UCS, 14.0%). The four most common mutations across all subtypes were TP53, PIK3CA, PTEN, and ARID1A. There was racial disparity between Black versus non-Black patients who were initiated on targeted therapy (28.2% vs. 38.2%, respectively) and clinical trial (15% vs. 22.6%, respectively). Compared to non-Black patients, Black patients had a significantly higher percentage TP53 mutations (p < 0.05) and a significantly lower percentage ARID1A mutations (p < 0.05). CONCLUSIONS: NGS for uterine malignancies provides actionable information for targetable mutations and/or clinical trial enrollment in most patients; further investigation is necessary to identify potentially modifiable factors contributing to current disparities that may improve targeted therapy uptake and clinical trial participation.
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Sequenciamento de Nucleotídeos em Larga Escala/métodos , Terapia de Alvo Molecular , Mutação , Neoplasias Uterinas/tratamento farmacológico , Adulto , Negro ou Afro-Americano , Idoso , Idoso de 80 Anos ou mais , Proteínas de Ligação a DNA/genética , Feminino , Genes p53 , Humanos , Pessoa de Meia-Idade , Estudos Prospectivos , Fatores de Transcrição/genética , Neoplasias Uterinas/diagnóstico , Neoplasias Uterinas/genéticaRESUMO
Ovarian cancer is the second most common gynecologic malignancy in the United States and the most common cause of gynecologic cancer-related death. The majority of ovarian cancers ultimately recur despite excellent response rates to upfront platinum- and taxane-based chemotherapy. Maintenance therapy after frontline treatment has emerged in recent years as an effective tool for extending the platinum-free interval of these patients. Maintenance therapy with PARP inhibitors (PARPis), in particular, has become part of standard of care in the upfront setting and in patients with platinum-sensitive disease. Homologous recombination deficient (HRD) tumors have a nonfunctioning homologous recombination repair (HRR) pathway and respond well to PARPis, which takes advantage of synthetic lethality by concomitantly impairing DNA repair mechanisms. Conversely, patients with a functioning HRR pathway, that is, HR-proficient tumors, can still elicit benefit from PARPi, but the efficacy is not as remarkable as what is seen in HRD tumors. PARPis are ineffective in some patients due to HR proficiency, which is either inherent to the tumor or potentially acquired as a method of therapeutic resistance. This review seeks to outline current strategies employed by clinicians and scientists to overcome PARPi resistance-either acquired or inherent to the tumor.
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Resistencia a Medicamentos Antineoplásicos , Recombinação Homóloga , Neoplasias/tratamento farmacológico , Inibidores de Poli(ADP-Ribose) Polimerases/uso terapêutico , Reparo de DNA por Recombinação/efeitos dos fármacos , Animais , Humanos , Neoplasias/genética , Neoplasias/patologiaRESUMO
Olfactory dysfunction (hyposmia, anosmia) is a well-recognized symptom in patients with coronavirus disease-19 (COVID-19). Studies of olfactory dysfunction in asymptomatic patients have not been reported. We conducted a study looking for the presence of olfactory dysfunction with an objective assessment tool in asymptomatic Covid 19 and compared it with patients with mild COVID-19 and age-matched controls. We recruited 57 male patients each of Mild COVID-19, asymptomatic Covid 19, and healthy controls for the study. All participants underwent evaluation of smell threshold by Butanol Threshold test (BTT) and ability to distinguish common odors by Smell identification test. The scores of each test were recorded on a numerical scale. The participants in all three arms were matched for age, history of smoking, and pre-existing medical conditions. The mean scores of the Butanol Threshold test in Mild COVID-19, asymptomatic Covid 19 and controls were 2.95 ± 2.25 (0-7.5), 3.42 ± 2.23 (0-7.5), and 4.82 ± 1.86 (0-8), respectively. A one-way ANOVA showed a significant difference between groups (df 2, MS 53.78, F 11.94, p < 0.005). Intergroup differences using the student T-test showed significantly low BTT scores in Mild COVID-19 (p < 0.005) and asymptomatic (p < 0.005) as compared to control. BTT scores could not distinguish between asymptomatic patients and control. The smell threshold was impaired in asymptomatic Covid 19 and Mild COVID-19. Butanol Threshold Test score could not differentiate between asymptomatic Covid 19 and controls.
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Introduction: The COVID-19 pandemic in March of 2020 necessitated the removal of medical students from direct patient care activities to prevent disease spread and to conserve personal protective equipment. In order for medical student education to continue, virtual and online electives were designed and implemented expeditiously. We created a virtual curriculum that taught quality improvement (QI) skills within the context of the global pandemic. Methods: This 4-week curriculum enrolled 16 students. Students completed the revised QI knowledge application tool (QIKAT-R) before and after the course to assess QI knowledge. Students completed prereading, online modules, and received lectures on QI and incident command systems. Each group designed their own QI project related to our hospital system's response to the pandemic. Finally, groups presented their projects at a peer symposium and completed peer evaluations. Results: Students' QIKAT-R scores improved throughout the course from a mean of 5.5 (SD = 1.3) to a mean of 7.5 (SD = 1.1; p < 0.001). Students reported that the virtual learning experience delivered the material effectively, and all students agreed that they would participate in QI work in the future. Discussion: Patient safety and QI topics are content areas for multiple medical licensing examinations. Virtual learning is an effective way to deliver QI content to medical students and residents, especially when projects are trainee-led, QI-trained faculty serve as mentors, and the projects harmonize with institutional goals. Our virtual pandemic-focused curriculum has demonstrated efficacy in increasing medical student QI knowledge.
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COVID-19 , Instrução por Computador/normas , Currículo/normas , Educação de Graduação em Medicina/normas , SARS-CoV-2 , Avaliação Educacional , Humanos , Maryland , Pandemias , Melhoria de Qualidade , Inquéritos e QuestionáriosRESUMO
BACKGROUND: The majority of nosocomial infections in the hospital setting are found in intensive care units (ICUs). The present study was undertaken to determine the incidence, risk factors, causative microorganisms, and outcome of various ICU-acquired infections. MATERIALS AND METHODS: The patients admitted to the ICU of a teaching hospital in North India were prospectively studied. Detailed history, clinical examination, acute physiology and chronic health evaluation score II, simplified acute physiology score II, sequential organ failure assessment score, and baseline investigations were recorded. Patients were assessed daily till 14th day for nosocomial infection as per Centers for Disease Control and Prevention (CDC) guidelines and were followed till death or discharge. Incidence, risk factors, and outcome parameters were calculated using Student t-test, Chi-square test, and stepwise multivariate logistic regression model. RESULTS: The overall incidence rate of ICU infections was 27.9%. The most common ICU-acquired infection was ventilator-associated pneumonia followed by catheter-related bloodstream infection and catheter-associated urinary tract infection. Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae were implicated in most of the infections. ICU length of stay (LOS) >7 days, neurological dysfunction, endotracheal intubation, ischemic heart disease, and use of antacids/H2 blockers were significantly associated with ICU-acquired infections. The mortality rate was 32.8 and 28.8% in patients with and without ICU infections, respectively (p = 0.531). The ICU LOS (19.23 ± 12.79 days) was significantly higher in the ICU infections group (p <0.001). CONCLUSION: Ventilator-associated pneumonia was the most common nosocomial infection in our study. Gram-negative microorganisms were the predominant causative agents for various ICU-acquired infections. Mortality was not found to be affected but ICU LOS was significantly prolonged as a consequence of the development of ICU-acquired infection. HOW TO CITE THIS ARTICLE: Kumar A, Chaudhry D, Goel N, Tanwar S. Epidemiology of Intensive Care Unit-acquired Infections in a Tertiary Care Hospital of North India. Indian J Crit Care Med 2021;25(12):1427-1433.