Institution
North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences
Education•Shillong, India•
About: North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences is a education organization based out in Shillong, India. It is known for research contribution in the topics: Medicine & Population. The organization has 404 authors who have published 423 publications receiving 2140 citations.
Topics: Medicine, Population, Health care, Cancer, Pregnancy
Papers
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TL;DR: An overview of ICU severity scales (along with their predicted death/survival rate calculations) developed over the last 3 decades including several of them which has been revised accordingly are provided.
Abstract: Severity scales are important adjuncts of treatment in the intensive care unit (ICU) in order to predict patient outcome, comparing quality-of-care and stratification for clinical trials. Even though disease severity scores are not the key elements of treatment, they are however, an essential part of improvement in clinical decisions and in identifying patients with unexpected outcomes. Prediction models do face many challenges, but, proper application of these models helps in decision making at the right time and in decreasing hospital cost. In fact, they have become a necessary tool to describe ICU populations and to explain differences in mortality. However, it is also important to note that the choice of the severity score scale, index, or model should accurately match the event, setting or application; as mis-application, of such systems can lead to wastage of time, increased cost, unwarranted extrapolations and poor science. This article provides a brief overview of ICU severity scales (along with their predicted death/survival rate calculations) developed over the last 3 decades including several of them which has been revised accordingly.
150 citations
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TL;DR: A considerable chunk of YouTube videos about Zika virus available during the recent Zika pandemic were misleading, and were more popular (than informative videos) and could potentially spread misinformation.
Abstract: Background: Internet-videos, though popular sources of public health information, are often unverified and anecdotal. We critically evaluated YouTube videos about Zika virus available during the re...
120 citations
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TL;DR: Biofilm production and MDR pattern were found to be significantly higher in A. baumannii than P. aeruginosa and antibiotic resistance was significantly higher among biofilm producing A. aerUGinosa than non producers.
Abstract: Background and Aims: Given choice, bacteria prefer a community-based, surface-bound colony to an individual existence. The inclination for bacteria to become surface bound is so ubiquitous in diverse ecosystems that it suggests a strong survival strategy and selective advantage for surface dwellers over their free-ranging counterparts. Virtually any surface, biotic or abiotic (animal, mineral, or vegetable) is suitable for bacterial colonization and biofilm formation. Thus, a biofilm is a functional consortium of microorganisms organized within an extensive exopolymeric matrix. Materials and Methods: The present study was undertaken to detect biofilm production from the repertoire stocks of Acinetobacter baumannii (A. baumannii) and Pseudomonas aeruginosa (P. aeruginosa) obtained from clinical specimens. The tube method was performed to qualitatively detect biofilm production. Results: A total of 109 isolates of both organisms were included in the study, out of which 42% (46/109) isolates showed biofilm detection. Among the biofilm producers, 57% of P. aeruginosa and 73% of A. baumannii showed multidrug resistance (MDR) pattern which was statistically significant in comparison to nonbiofilm producers ( P Conclusion: To the best of our knowledge, this is the only study to have tested the biofilm production in both P. aeruginosa and A. baumannii in a single study. Biofilm production and MDR pattern were found to be significantly higher in A. baumannii than P. aeruginosa. Antibiotic resistance was significantly higher among biofilm producing P. aeruginosa than non producers. Similarly, antibiotic resistance was significantly higher among biofilm producing A. baumannii than non producers.
100 citations
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Homi Bhabha National Institute1, Memorial Hospital of South Bend2, Chittaranjan National Cancer Institute3, Malabar Institute of Medical Sciences4, Max Super Speciality Hospital5, Bhubaneswar Borooah Cancer Institute6, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences7, Ruby Hall Clinic8, Sri Venkateswara Institute of Medical Sciences9, All India Institute of Medical Sciences10, Prince Aly Khan Hospital11, Sher-I-Kashmir Institute of Medical Sciences12, Gandhi Medical College13, Christian Medical College & Hospital14, University of Madras15, Manipal University16, Sawai Man Singh Hospital17, Tata Memorial Hospital18
TL;DR: In this article, the authors did an ambidirectional cohort study at 41 cancer centres across India that were members of the National Cancer Grid of India to compare provision of oncology services between March 1 and May 31, 2020, with the same time period in 2019.
Abstract: BACKGROUND: The COVID-19 pandemic has disrupted health-care systems, leading to concerns about its subsequent impact on non-COVID disease conditions. The diagnosis and management of cancer is time sensitive and is likely to be substantially affected by these disruptions. We aimed to assess the impact of the COVID-19 pandemic on cancer care in India. METHODS: We did an ambidirectional cohort study at 41 cancer centres across India that were members of the National Cancer Grid of India to compare provision of oncology services between March 1 and May 31, 2020, with the same time period in 2019. We collected data on new patient registrations, number of patients visiting outpatient clinics, hospital admissions, day care admissions for chemotherapy, minor and major surgeries, patients accessing radiotherapy, diagnostic tests done (pathology reports, CT scans, MRI scans), and palliative care referrals. We also obtained estimates from participating centres on cancer screening, research, and educational activities (teaching of postgraduate students and trainees). We calculated proportional reductions in the provision of oncology services in 2020, compared with 2019. FINDINGS: Between March 1 and May 31, 2020, the number of new patients registered decreased from 112 270 to 51 760 (54% reduction), patients who had follow-up visits decreased from 634 745 to 340 984 (46% reduction), hospital admissions decreased from 88 801 to 56 885 (36% reduction), outpatient chemotherapy decreased from 173634 to 109 107 (37% reduction), the number of major surgeries decreased from 17 120 to 8677 (49% reduction), minor surgeries from 18 004 to 8630 (52% reduction), patients accessing radiotherapy from 51 142 to 39 365 (23% reduction), pathological diagnostic tests from 398 373 to 246 616 (38% reduction), number of radiological diagnostic tests from 93 449 to 53 560 (43% reduction), and palliative care referrals from 19 474 to 13 890 (29% reduction). These reductions were even more marked between April and May, 2020. Cancer screening was stopped completely or was functioning at less than 25% of usual capacity at more than 70% of centres during these months. Reductions in the provision of oncology services were higher for centres in tier 1 cities (larger cities) than tier 2 and 3 cities (smaller cities). INTERPRETATION: The COVID-19 pandemic has had considerable impact on the delivery of oncology services in India. The long-term impact of cessation of cancer screening and delayed hospital visits on cancer stage migration and outcomes are likely to be substantial. FUNDING: None. TRANSLATION: For the Hindi translation of the abstract see Supplementary Materials section.
96 citations
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TL;DR: Careful epidemiological studies that encompass large numbers of elderly drug users are required to obtain this information as increased knowledge of the frequency and cost of adverse drug reactions is important in enabling both more rational therapeutic decisions by individual clinicians and more optimal social policy.
Abstract: Medications probably are the single most important health care technology in preventing illness, disability, and death in the geriatric population. Age-related changes in drug disposition and pharmacodynamic responses have significant clinical implications; increased use of a number of medications raises the risk that medicine-related problems may occur. The relationship between increased use of drugs including the prescription medication and elderly is well established. Majority of ADRs (80%) causing admission or occurring in hospital are type A reactions. Although less common occurring in elderly, type B ADRs may sometimes cause serious toxicity. Studies have correlated the integral association between old age and increased rate of adverse drug reactions arising out of confounding association between age and polypharmacy contributed by age-related changes in pharmacodynamics and pharmacokinetics at least for some medical conditions. A drug combination may sometimes cause synergistic toxicity which is greater than the sum of the risks of toxicity of either agent used alone. But, strategies to increase opportunities for identifying ADRs and related problems have not been emphasised in current international policy responses especially in India to the increase in elderly population and chronic conditions. Careful epidemiological studies that encompass large numbers of elderly drug users are required to obtain this information as increased knowledge of the frequency and cost of adverse drug reactions is important in enabling both more rational therapeutic decisions by individual clinicians and more optimal social policy.
77 citations
Authors
Showing all 407 results
Name | H-index | Papers | Citations |
---|---|---|---|
Devinder Mohan Thappa | 34 | 426 | 5003 |
Masaraf Hussain | 13 | 32 | 545 |
Arnab Pal | 13 | 56 | 674 |
Ritesh Kumar | 12 | 64 | 426 |
Amit Goyal | 12 | 49 | 379 |
Prithwis Bhattacharyya | 9 | 31 | 286 |
Vandana Raphael | 9 | 59 | 210 |
Animesh Mishra | 8 | 49 | 203 |
Annie Bakorlin Khyriem | 8 | 22 | 234 |
Akash Handique | 7 | 26 | 126 |
Bhupen Barman | 7 | 62 | 251 |
Ananya Das | 7 | 20 | 115 |
Amit Malviya | 7 | 45 | 157 |
Kaustubh Bora | 7 | 28 | 185 |
Habib Md Reazaul Karim | 7 | 116 | 223 |