Certifying the deceased patient

2015 ◽  
pp. 98-99
Author(s):  
Andrew Stewart
Keyword(s):  
Pathogens ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 752
Author(s):  
Chung-Guei Huang ◽  
Avijit Dutta ◽  
Ching-Tai Huang ◽  
Pi-Yueh Chang ◽  
Mei-Jen Hsiao ◽  
...  

A total of 15 RT-PCR confirmed COVID-19 patients were admitted to our hospital during the in-itial outbreak in Taiwan. The average time of virus clearance was delayed in seven patients, 24.14 ± 4.33 days compared to 10.25 ± 0.56 days post-symptom onset (PSO) in the other eight pa-tients. There was strong antibody response in patients with viral persistence at the pharynx, with peak values of serum antibody 677.2 ± 217.8 vs. 76.70 ± 32.11 in patients with delayed versus rapid virus clearance. The patients with delayed viral clearance had excessive antibodies of compromised quality in an early stage with the delay in peak virus neutralization efficacy, 34.14 ± 7.15 versus 12.50 ± 2.35 days PSO in patients with rapid virus clearance. Weak antibody re-sponse of patients with rapid viral clearance was also effective, with substantial and comparable neutralization efficacy, 35.70 ± 8.78 versus 41.37 ± 11.49 of patients with delayed virus clearance. Human Cytokine 48-Plex Screening of the serial sera samples revealed elevated concentrations of proinflammatory cytokines and chemokines in a deceased patient with delayed virus clear-ance and severe disease. The levels were comparatively less in the other two patients who suf-fered from severe disease but eventually survived.


2020 ◽  
Vol 30 (4) ◽  
pp. 720-727
Author(s):  
Marijanne Engel ◽  
Andrée van der Ark ◽  
Rosanne Tamerus ◽  
Agnes van der Heide

Abstract Background When patients receiving palliative care are transferred between care settings, adequate collaboration and information exchange between health care professionals is necessary to ensure continuity, efficiency and safety of care. Several studies identified deficits in communication and information exchange between care settings. Aim of this study was to get insight in the quality of collaboration and information exchange in palliative care from the perspectives of nurses. Methods We performed a cross-sectional regional survey study among nurses working in different care settings. Nurses were approached via professional networks and media. Respondents were asked questions about collaboration in palliative care in general and about their last deceased patient. Potential associations between quality scores for collaboration and information handovers and characteristics of respondents or patients were tested with Pearson’s chi-square test. Results A total of 933 nurses filled in the questionnaire. Nurses working in nursing homes were least positive about inter-organizational collaboration. Forty-six per cent of all nurses had actively searched for such collaboration in the last year. For their last deceased patient, 10% of all nurses had not received the information handover in time, 33% missed information they needed. An adequate information handover was positively associated with timeliness and completeness of the information and the patient being well-informed, not with procedural characteristics. Conclusion Nurses report that collaboration between care settings and information exchange in palliative care is suboptimal. This study suggests that health care organizations should give more attention to shared professionalization towards inter-organizational collaboration among nurses in order to facilitate high-quality palliative care.


BMJ ◽  
2006 ◽  
Vol 332 (Suppl S2) ◽  
pp. 060260
Author(s):  
Sarah Aldington ◽  
Geoffrey Robinson ◽  
Richard Beasley

JAMA ◽  
2019 ◽  
Vol 321 (8) ◽  
pp. 803 ◽  
Author(s):  
Nathan Y. Yu ◽  
William G. Rule ◽  
Terence T. Sio ◽  
Jonathan B. Ashman ◽  
Kevin L. Nelson

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Zlatan Car ◽  
Sandi Baressi Šegota ◽  
Nikola Anđelić ◽  
Ivan Lorencin ◽  
Vedran Mrzljak

Coronavirus (COVID-19) is a highly infectious disease that has captured the attention of the worldwide public. Modeling of such diseases can be extremely important in the prediction of their impact. While classic, statistical, modeling can provide satisfactory models, it can also fail to comprehend the intricacies contained within the data. In this paper, authors use a publicly available dataset, containing information on infected, recovered, and deceased patients in 406 locations over 51 days (22nd January 2020 to 12th March 2020). This dataset, intended to be a time-series dataset, is transformed into a regression dataset and used in training a multilayer perceptron (MLP) artificial neural network (ANN). The aim of training is to achieve a worldwide model of the maximal number of patients across all locations in each time unit. Hyperparameters of the MLP are varied using a grid search algorithm, with a total of 5376 hyperparameter combinations. Using those combinations, a total of 48384 ANNs are trained (16128 for each patient group—deceased, recovered, and infected), and each model is evaluated using the coefficient of determination (R2). Cross-validation is performed using K-fold algorithm with 5-folds. Best models achieved consists of 4 hidden layers with 4 neurons in each of those layers, and use a ReLU activation function, with R2 scores of 0.98599 for confirmed, 0.99429 for deceased, and 0.97941 for recovered patient models. When cross-validation is performed, these scores drop to 0.94 for confirmed, 0.781 for recovered, and 0.986 for deceased patient models, showing high robustness of the deceased patient model, good robustness for confirmed, and low robustness for recovered patient model.


2007 ◽  
Vol 16 (6) ◽  
pp. 360-361 ◽  
Author(s):  
Karen Sanders ◽  
Suzanne Fullbrook
Keyword(s):  

2021 ◽  
Vol 31 (2) ◽  
Author(s):  
Menbeu Sultan ◽  
Desalegn Kene ◽  
Woldesenbet Waganew ◽  
Aschalew Worku ◽  
Aklilu Azazh ◽  
...  

BACKGROUND: Since the occurrence of COVID-19 in the world, it has claimed nearly 1.39 million human lives in the world and more than 1500 lives in Ethiopia. The number of deaths is increasing with variable distribution in the world. Despite its increasing fatality, the clinical characteristics of the deceased patients are not yet fully known. Analyzing the clinical characteristics of deceased patients will help to improve the outcome of infected patients. Hence, this study aimed to determine the clinical characteristics of patients who died due to COVID-19 in Ethiopia.METHODS: Hospital based multi-center cross-sectional study was conducted using chart review of deceased patients. Since the number of COVID-19 related deaths was limited, all consecutive COVID-19 related hospital deaths were analyzed. The data was entered into and analyzed using SPSS version 25.0. Descriptive statistics was used to explain the data collected from the survey.RESULT: A total of 92 deceased patient charts were analyzed. Of these patients, 65(71%) were males. Age ranged from 17 to 92 years (mean age being 59 years). On arrival vital signs, 60.5% of them had hypoxia, 49% had tachycardia and only 32% of patients had fever. Three fourth of the patients 64/85 had at least one comorbidity. Diabetes mellitus (DM) was the commonest comorbidity accounting for 445.9%, followed by hypertension, 23/85(27%), and HIV/ AIDS, 15/85 (17.5%).CONCLUSION: The results of this study showed that COVID-19 deceased patients presented with respiratory failure and hypoxia. However, less than a third of these patients had fever. In addition, the presence of comorbid illnesses and non-COVID-19 diseases like AIDS defining illness in significant amount needs further study to identify their level of contribution to the increasing burden of COVID-19 deaths in Ethiopia.


2021 ◽  
Author(s):  
Thomas Thomsen ◽  
Michael Blaivas ◽  
Paulo Sadiva ◽  
Oliver D. Kripfgans ◽  
Hsun-Liang Chan ◽  
...  

The vast majority of clinicians associate diagnostic ultrasound with a tool that is designed for the living patient. However, it is of course possible to apply this imaging technology to evaluate the recently deceased patient for postmortem diagnosis, or even just examine postmortem tissue. We describe several cases in which ultrasound-enabled providers obtain answers in postmortem examinations and discuss potential future strategies and applications. In addition, we will also illustrate the use of sonography in minimally invasive post-mortem tissue sampling (MITS), an approach that can be used in post-mortem minimally invasive autopsies as well as for establishing ultrasound diagnostic parameters in new medical fields such as periodontal and dental implant specialties.


2021 ◽  
Author(s):  
Edouard Baudouin ◽  
Jill Kosowki ◽  
Lea Mesinele ◽  
Tom Pujol ◽  
Nicoletta Brunetti ◽  
...  

Abstract Background: This study aimed to seek for an association between absolute eosinopenia (eosinophils count < 10 /mm3) and mortality in an older adults suffering from COVID-19 hospitalized in a specific geriatric ward. Methods: This observational retrospective study was conducted in a French geriatric ward from March 17 to April 18, 2020. All 118 patients hospitalized for COVID-19 over 70 yo in acute stay care were enrolled. Patients with a treatment or a pathology which could interfere with eosinophil count were excluded. Results: No statistical difference was found between surviving or deceased patient regarding age (mean age (SD): 87 years (7)) and sex (34% of males). Differences for the most frequent acute events were statically different: Quick Sepsis-related Organ Failure Assessment (qSOFA) score was ≥ 2 at admission for 23% in the survivor group vs. 23 (72%) in the deceased (p < .001); acute kidney injury concerned 17% of the survivors vs. 69% of the decease (p< .001). Eosinopenia < 10/mm3 was significantly associated with mortality (OR (CI95%)) = 3.5 (1.2-11.4) after adjustment on age, gender, and activity of daily living. Conclusion: Absolute eosinopenia was associated with in hospital mortality in older adults. This result, if confirmed in other study, may help to predict the outcome of a SARS-COV-2 infection on geriatric patients and calls for immunologist to explore more globally the impact of inflammaging on the SARS-CoV-2 infection.


Author(s):  
Robert M. Veatch ◽  
Amy Haddad ◽  
E. J. Last

Chapter 1 begins with a five-step model for analyzing a case posing ethical questions in pharmacy: (1) responding to a “sense” or feeling that something is wrong, (2) gathering information and making an assessment, (3) identifying the ethical problem, (4) seeking a resolution, and (5) working with others to choose a course of action. This five-step model is illustrated by the book’s first case, one involving reporting a possibly lethal medical error. A patient dies after mistakenly being given heparin intended for another patient. The case is followed by commentary applying the model and concluding with possible resolutions of the dilemma. The pharmacist might share the information with all those involved, including the family of the now-deceased patient, or tell only the pharmacist who prepared the drugs. The implications of the ethical principles involved, such as nonmaleficence and veracity, are explored.


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