Background: The first case of Coronavirus was reported by World Health Organisation (WHO) on 31 December 2019. Due to its high infectivity and increasing mortality, WHO on 30 January 2020 declared the infection as public health emergency of international concern. Various measures were initiated and carried out by health care facilities to tackle the pandemic. Our experiences of hospital preparedness may help future health policies to tackle the pandemics.
Method: Various guidelines given by Ministry of Health and Family Welfare, Centre for Disease Control, Indian Council of Medical Research were studied and analysed. The hospital lay out plan was studied, modifications in the physical structure of the hospital as planned by the hospital authorities were observed and recorded. The impact of the new planning on patient management was recorded by the investigators.
Results: It was observed that proper planning on the basis of laid down guidelines and the modifiable initial layout is very effective in the prevention and management of the pandemic. A total of 130 beds of the hospital under study could be separated from the main building with little modifications. Another important observation was dedicated leadership and coordination among different specialities ensuring successful planning. The investigators concluded that the new hospitals should be planned and constructed in such a way so that a major part of the hospital building can be converted to an isolation area with little modifications in the physical structure of the hospital at the time of pandemics.
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http://dx.doi.org/10.4103/jfmpc.jfmpc_1571_21 | DOI Listing |
Eur J Med Chem
January 2025
Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Healthand, Department of Frontiers Science Center for Disease-related Molecular Network, Core Facilities, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. Electronic address:
NEK2, a serine/threonine protein kinase, is integral to mitotic events such as centrosome duplication and separation, microtubule stabilization, spindle assembly checkpoint, and kinetochore attachment. However, NEK2 overexpression leads to centrosome amplification and chromosomal instability, which are significantly associated with various malignancies, including liver, breast, and non-small cell lung cancer. This overexpression could facilitate tumor development and confer resistance to therapy by promoting aberrant cell division and centrosome amplification.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
January 2025
Sport Medicine Unit, Careggi University Hospital, Via delle Oblate 4, 50134 Florence, Italy.
The study was designed to investigate the pattern of intraventricular Hemo-Dynamic Forces (HDF) and myocardial performance during exercise in Elite Cyclists (EC). Transthoracic stress echocardiography was performed on nineteen EC and thirteen age-matched sedentary controls (SC) at three incremental exercise intensities based on Heart Rate Reserve (HRR). Left Ventricular (LV) HDF were computed from echocardiography long-axis data sets using a novel technique based on endocardial boundary tracking, both in apex-base and latero-septal directions.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, and Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.
Ann Intern Med
January 2025
959 Medical Operations Squadron, U.S. Air Force, Department of Neurology, Brooke Army Medical Center, San Antonio, Texas (T.K.).
Description: In July 2024, the U.S. Department of Veterans Affairs (VA) and U.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!