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| 1 | Bombings specific triage(Bost Tool) tool and its application by healthcare professionals显示文摘BACKGROUND: Bombing is a unique incident which produces unique patterns, multiple and occult injuries. Death often is a result of combined blast, ballistic and thermal effect injuries. Various natures of injury, self referrals and arrival by private transportation may lead to 'wrong triage' in the emergency department. In India there has been an increase in incidence of bombing in the last 15 years. There is no documented triage tool from the National Disaster Management Authority of India for Bombings. We have tried to develop an ideal bombing specific triage tool which will guide the right patients to the right place at the right time and save more lives.METHODS: There are three methods of studying the triage tool: 1) real disaster; 2) mock drill; 3) table top exercise. In this study, a table top exercise method was selected. There are two groups, each consisting of an emergency physician, a nurse and a paramedic.RESULTS: By using the proportion test, we found that correct triaging was significantly different(P=0.005) in proportion between the two groups: group B(80%) with triage tool performed better in triaging the bomb blast victims than group A(50%) without the bombing specific triage tool performed.CONCLUSION: Development of bombing specific triage tool can reduce under triaging. | Jaiswal Sanjay Verma Ankur Kole Tamorish | 2015 | World Journal of Emergency Medicine2015，6，4： | 2 |
| 2 | Eradication of superficial fungal infections by conventional and novel approaches: a comprehensive review显示文摘 | Lalit Kumar Shivani Verma Ankur Bhardwaj Shubha Vaidya Bhuvaneshwar Vaidya | 2014 | Artificial Cells, Nanomedicine, and Biotechnology2014，，： | 1 |
| 3 | International normalized ratio as a predictor of mortality in trauma patients in India显示文摘BACKGROUND:Hemorrhage is the second leading cause of death in trauma patients preceded only by traumatic brain injury. But hemorrhagic shock is the most common cause of preventable death within 6 hours of admission. Traumatic coagulopathy is a hypocoagulable state that occurs in the most severely injured. International normalized ratio(INR) and its relationship with trauma mortality have not been studied specifi cally. This study aimed to establish a predictive value of INR for trauma-related mortality.METHODS:A total of 99 trauma patients aged 18–70 years were included in the study. Their INR was determined and patient progression was followed up till death/discharge. According to previous retrospective studies,the cutoff value for INR in our study was kept at 1.5.RESULTS:The total mortality rate of the patients was 16.16%(16/99). The mean INR was 1.45 with a SD of 1.35. INR was deranged in a total of 14 patients(14.14%). Of these patients,11 died(78.57%) and 3 survived. INR was deranged in 11(68.75%) of the 16 patients who died,but 5 deaths(31.25%) had normal INR values. The sensitivity of INR was 69%(95%CI 41%–88%) and the specificity 96%(95%CI 90%–99%). The diagnostic accuracy of INR was 92%(95%CI 85%–96%). Positive predictive value and negative predictive value were 79%(95%CI 49%–95%) and 94%(95%CI 87%–98%),respectively.CONCLUSION:Our results showed that INR is a good predictor of mortality in trauma patients. | Ankur Verma Tamorish Kole | 2014 | World Journal of Emergency Medicine2014，5，3： | 1 |
| 4 | Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data显示文摘 | Wenping Yuan Shuguang Liu Guirui Yu Jean-Marc Bonnefond Jiquan Chen Ken Davis Ankur R. Desai Allen H. Goldstein Damiano Gianelle Federica Rossi Andrew E. Suyker Shashi B. Verma | 2010 | Remote Sensing of Environment2010，，7： | 1 |
| 5 | Bottle gourd(Lagenaria siceraria) juice poisoning显示文摘BACKGROUND: Bottle gourd(Lagenaria siceraria) is popularly known as lauki, ghia or dudhi in India. Its consumption is advocated by traditional medicine healers for controlling diabetes mellitus, hypertension, liver diseases, weight loss and other diseases. However, in last few years there have been reports of suspected toxicity due to consumption of its juice leading to severe vomiting and upper gastrointestinal bleeding. As emergency physicians we need to be aware of this very rare poisoning specially in India.METHODS: We present a case of a 52-year-old woman who presented with multiple episodes of hematemesis and shock to the emergency department(ED) after consuming bottle gourd juice. The patient was resuscitated and stabilized with fl uids, proton pump inhibitors and antiemetics and shifted to the intensive care unit(ICU) under the care of a gastroenterology team for urgent endoscopy and further management.RESULTS: The patient received intravenous fluids, antibiotics, antiemetics, and antacids and underwent upper gastroenterologic endoscopy during the hospitalization. She was discharged in a stable condition 4 days later.CONCLUSIONS: As a member of the Cucurbitaceae family, bottle gourd contains toxic tetracyclic triterpenoid compounds called cucurbitacins which are responsible for the bitter taste and toxicity. There is no known antidote for this toxicity, and clinicians treat such patients symptomatically only. It is important to educate the public about the harmful effects of this potentially life-threatening toxicity. | Ankur Verma Sanjay Jaiswal | 2015 | World Journal of Emergency Medicine2015，6，4： | 1 |
| 6 | Tension urinothorax as a reversible cause of cardiac arrest:a case report显示文摘Urinothorax, is the accumulation of urine in the pleural space, and is a rare and unusual condition.[1]Several etiologies are responsible for this, with trauma being the most common,[2] along with, surgical renal procedures(percutaneousnephrolithotomy,PCNL),retroperitoneal inflammation, urinary obstruction and malignancies.[3,4] Massive collections of a urinothorax or a hydrothorax can lead to tension, mediastinal shifts andcardiacarrests. Wedescribeacaseoftension urinothorax that led to cardiac arrest and was resuscitated successfully in the emergency department (ED). | Ashutosh Wanchu Ankur Verma Sanjay Jaiswal Abbas Ali Khatai Nilesh Prasad | 2023 | World Journal of Emergency Medicine2023，14，6： | 0 |
| 7 | Intelligent Approach for Clustering Mutations’ Nature of COVID-19 Genome显示文摘In December 2019,a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia.The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9,2020,named Novel Coronavirus 2019(nCoV-2019).This nCoV-2019 is now known as COVID-19.There is a big list of infections of this coronavirus which is present in the form of a big family.This virus can cause several diseases that usually develop with a serious problem.According to the World Health Organization(WHO),2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome(SARS)and Middle East Respiratory Syndrome(MERS)coronaviruses,so COVID-19 can repeatedly change its internal genome structure to extend its existence.Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus.In this research paper,an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’complete genome.This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties.This paper identifies five main clusters of mutations with k=5 as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. | Ankur Dumka Parag Verma Rajesh Singh Anuj Bhardwaj Khalid Alsubhi Divya Anand Irene Delgado Noya Silvia Aparicio Obregon | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 8 | Ominous lung cavity “Tambourine sign”显示文摘Mucinous adenocarcinoma represents a rare subtype of adenocarcinoma of the lung, which is frequently invasive and has a poorer prognosis. Of its wide range of imaging appearances, air-space consolidation is the most frequent pattern while cavitary form has only rarely been reported. Despite imaging advancements, the differentiation of benign and malignant cavitary lung lesions sometimes remains imperfect. We propose 'Tambourine' sign on computed tomography to raise the suspicion of mucinous adenocarcinoma in a lung cavity, under appropriate clinical settings. The sign indicates an irregular cavity with undistorted prominent thick walled bronchioles within the wall and draping along thereby resembling the musical instrument 'tambourine'. Adjacent ground glass and internal septations may also be seen. | Ritu Verma Ashu Seith Bhalla Ankur Goyal Deepali Jain N Loganathan Randeep Guleria | 2017 | World Journal of Clinical Cases2017，5，4： | 0 |
| 9 | A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis显示文摘Coronavirus(COVID-19)has impacted nearly every person across the globe either in terms of losses of life or as of lockdown.The current coronavirus(COVID-19)pandemic is a rare/special situation where people can express their feelings on Internet-based social networks.Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions.This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown.The research is based on the logic expressed by people in this perspective and emotions for the suffering of COVID-19 and lockdown.In this research,we have used a Long Short-Term Memory(LSTM)network model with Convolutional Neural Network using Keras python deep-learning library to determine whether social media platform users are depressed in terms of positive,negative,or neutral emotional out bust based on their Twitter posts.The results showed that the model has 88.14%accuracy(representation of the correct prediction over the test dataset)after 10 epochs which most tweets showed had neutral polarity.The evaluation shows interesting results in positive(1),negative(–1),and neutral(0)emotions through different visualization. | Ankur Dumka Parag Verma Rajesh Singh Anil Kumar Bisht Divya Anand Hani Moaiteq Aljahdali Irene Delgado Noya Silvia Aparicio Obregon | 2022 | Computers, Materials & Continua2022，，9： | 0 |
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