scholarly journals Novel unorthodox strategies to reduce the case fatality rate of COVID-19 in high risk groups

2020 ◽  
Vol 121 (07) ◽  
pp. 462-465
Author(s):  
T. Hlavaty ◽  
A. Krajcovicova
Keyword(s):  
High Risk ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Risk Groups ◽  
Fatality Rate

scholarly journals Decreasing case fatality rate following invasive pneumococcal disease, North East England, 2006–2016

2019 ◽  
Vol 147 ◽  
Author(s):  
C. Houseman ◽  
K. E. Chapman ◽  
P. Manley ◽  
R. Gorton ◽  
D. Wilson ◽  
...  
Keyword(s):  
Invasive Pneumococcal Disease ◽  
Case Fatality Rate ◽  
Pneumococcal Disease ◽  
Demographic Data ◽  
Case Fatality ◽  
Risk Groups ◽  
Significant Decline ◽  
Fatality Rate ◽  
North East ◽  
Increased Risk

AbstractDeclining mortality following invasive pneumococcal disease (IPD) has been observed concurrent with a reduced incidence due to effective pneumococcal conjugate vaccines. However, with IPD now increasing due to serotype replacement, we undertook a statistical analysis to estimate the trend in all-cause 30-day case fatality rate (CFR) in the North East of England (NEE) following IPD. Clinical, microbiological and demographic data were obtained for all laboratory-confirmed IPD cases (April 2006–March 2016) and the adjusted association between CFR and epidemiological year estimated using logistic regression. Of the 2510 episodes of IPD included in the analysis, 486 died within 30 days of IPD (CFR 19%). Increasing age, male sex, a diagnosis of septicaemia, being in ⩾1 clinical risk groups, alcohol abuse and individual serotypes were independently associated with increased CFR. A significant decline in CFR over time was observed following adjustment for these significant predictors (adjusted odds ratio 0.93, 95% confidence interval 0.89–0.98; P = 0.003). A small but significant decline in 30-day all-cause CFR following IPD has been observed in the NEE. Nonetheless, certain population groups remain at increased risk of dying following IPD. Despite the introduction of effective vaccines, further strategies to reduce the ongoing burden of mortality from IPD are needed.

scholarly journals A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rita Murri ◽  
Jacopo Lenkowicz ◽  
Carlotta Masciocchi ◽  
Chiara Iacomini ◽  
Massimo Fantoni ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Risk Score ◽  
Case Fatality Rate ◽  
Cross Validation ◽  
Case Fatality ◽  
Fatality Rate ◽  
C Reactive Protein ◽  
Training Cohort ◽  
Reactive Protein

AbstractThe COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction model using easy-to-obtain parameters to help to identify patients with COVID-19 who are at higher risk of death. The training cohort included all patients admitted to Fondazione Policlinico Gemelli with COVID-19 from March 5, 2020, to November 5, 2020. Afterward, the model was tested on all patients admitted to the same hospital with COVID-19 from November 6, 2020, to February 5, 2021. The primary outcome was in-hospital case-fatality risk. The out-of-sample performance of the model was estimated from the training set in terms of Area under the Receiving Operator Curve (AUROC) and classification matrix statistics by averaging the results of fivefold cross validation repeated 3-times and comparing the results with those obtained on the test set. An explanation analysis of the model, based on the SHapley Additive exPlanations (SHAP), is also presented. To assess the subsequent time evolution, the change in paO2/FiO2 (P/F) at 48 h after the baseline measurement was plotted against its baseline value. Among the 921 patients included in the training cohort, 120 died (13%). Variables selected for the model were age, platelet count, SpO2, blood urea nitrogen (BUN), hemoglobin, C-reactive protein, neutrophil count, and sodium. The results of the fivefold cross-validation repeated 3-times gave AUROC of 0.87, and statistics of the classification matrix to the Youden index as follows: sensitivity 0.840, specificity 0.774, negative predictive value 0.971. Then, the model was tested on a new population (n = 1463) in which the case-fatality rate was 22.6%. The test model showed AUROC 0.818, sensitivity 0.813, specificity 0.650, negative predictive value 0.922. Considering the first quartile of the predicted risk score (low-risk score group), the case-fatality rate was 1.6%, 17.8% in the second and third quartile (high-risk score group) and 53.5% in the fourth quartile (very high-risk score group). The three risk score groups showed good discrimination for the P/F value at admission, and a positive correlation was found for the low-risk class to P/F at 48 h after admission (adjusted R-squared = 0.48). We developed a predictive model of death for people with SARS-CoV-2 infection by including only easy-to-obtain variables (abnormal blood count, BUN, C-reactive protein, sodium and lower SpO2). It demonstrated good accuracy and high power of discrimination. The simplicity of the model makes the risk prediction applicable for patients in the Emergency Department, or during hospitalization. Although it is reasonable to assume that the model is also applicable in not-hospitalized persons, only appropriate studies can assess the accuracy of the model also for persons at home.

scholarly journals Old subjects with sepsis: trend analysis of case fatality rate in the Emergency Department

2019 ◽  
Author(s):  
Andrea Fabbri ◽  
Giulio Marchesini ◽  
Barbara Benazzi ◽  
Alice Morelli ◽  
Danilo Montesi ◽  
...  
Keyword(s):  
Emergency Department ◽  
High Risk ◽  
Trend Analysis ◽  
Risk Score ◽  
Case Fatality Rate ◽  
Relative Proportion ◽  
Case Fatality ◽  
Low Risk ◽  
Fatality Rate ◽  
Italian Hospital

Abstract Background: The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.Methods: We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009-2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk . Results: 2,492 subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009-2010) to 5.4% (2015-2016); P<0.001, accompanied by a reduced CFR (from 38.0% to 18.4%; P<0.001). A group of 10 variables (admission in intensive care unit, cardio-vascular dysfunction, HIV infection, diabetes, age ≥80 years, respiratory diseases, number of organ dysfunction, digestive diseases, dementia and cancer) were selected by the logistic model to predict CFR with good accuracy: AUC 0.873 [0.009]. Along the years CFR decreased from 31.8% (2009-2010) to 25.0% (2015-2016); P = 0.007. The relative proportion of subjects ≥80 years (overall, 52.9% of cases) and classified as high-risk did not change along the years. CFR decreased only in low-risk subjects (from 13.3% to 5.2%; P<0.001), and particularly in those aged ≥80 (from 18.2% to 6.6%; P=0.003), but not in high-risk individuals (from 69.9% to 64.2%; P=0.713). Conclusion: Between 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ≥80 years.

scholarly journals Old subjects with sepsis: trend analysis of case fatality rate in the Emergency Department

2019 ◽  
Author(s):  
Andrea Fabbri ◽  
Giulio Marchesini ◽  
Barbara Benazzi ◽  
Alice Morelli ◽  
Danilo Montesi ◽  
...  
Keyword(s):  
Emergency Department ◽  
High Risk ◽  
Trend Analysis ◽  
Risk Score ◽  
Case Fatality Rate ◽  
Relative Proportion ◽  
Case Fatality ◽  
Low Risk ◽  
Fatality Rate ◽  
Italian Hospital

Abstract Background The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score. Methods We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009-2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk . Results 2,492 subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009-2010) to 5.4% (2015-2016); P<0.001, accompanied by a reduced CFR (from 38.0% to 18.4%; P<0.001). A group of 10 variables (admission in intensive care unit, cardio-vascular dysfunction, HIV infection, diabetes, age ≥80 years, respiratory diseases, number of organ dysfunction, digestive diseases, dementia and cancer) were selected by the logistic model to predict CFR with good accuracy: AUC 0.873 [0.009]. Along the years CFR decreased from 31.8% (2009-2010) to 25.0% (2015-2016); P = 0.007. The relative proportion of subjects ≥80 years (overall, 52.9% of cases) and classified as high-risk did not change along the years. CFR decreased only in low-risk subjects (from 13.3% to 5.2%; P<0.001), and particularly in those aged ≥80 (from 18.2% to 6.6%; P=0.003), but not in high-risk individuals (from 69.9% to 64.2%; P=0.713). Conclusion Between 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ≥80 years.

scholarly journals Mortality among adult hospitalized patients during the first wave and second wave of COVID-19 pandemic at a tertiary care center in India

2021 ◽  
Author(s):  
Ravindra Nath ◽  
Neeraj Kumar Gupta ◽  
Amandeep Jaswal ◽  
Sparsh Gupta ◽  
Navjot Kaur ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Care Center ◽  
Tertiary Care ◽  
Case Fatality ◽  
Risk Groups ◽  
Fatality Rate ◽  
Duration Of Symptoms ◽  
Entire Study ◽  
Before And After ◽  
Second Wave

The similarities and differences between the mortality patterns of the two waves in India remain largely unknown. This was a retrospective study of medical records conducted in the COVID data center of our hospital This study analyzed data of patients who died in the month of August, 2020 to October 2020 (one month before and after the peak of first wave i.e., 16th September, 2020) & April 2021 to June 2021 (one month before and after the peak of second wave i.e., 6th May, 2021), corresponding to an equal part of the pandemic during first (2020) and second (2021) wave. Out of 1893 patients in the study, 764 patients were admitted during the first wave and 1129 patients during the second wave of pandemic. In total, 420 patients died during the entire study period. Of those, 147 (35%) deaths occurred during the first wave and 273 (65%) during the second wave, reflecting a case fatality rate (CFR) of 19.2% during the first wave and a CFR of 24.18%. There were no significant differences in the Age Group, Gender, Presenting Complaints, Duration of Stay and Comorbidities. However, the deceased COVID-19 patients had an increase in Case Fatality Rate, average duration of symptoms from onset to Hospital Admission (DOSHA) and a major shift from MODS to ARDS being the Cause of Death during the second wave of Pandemic. This study demonstrates increased CFR, average DOSHA and a paradigm shift to ARDS as cause of mortality during the second peak of the Pandemic. It is necessary to remain vigilant of newer COVID-19 variants of concern, follow COVID-19 appropriate behaviors and keep emphasizing on care of high-risk groups including patients with comorbidities and elderly population to prevent mortality.

scholarly journals Old subjects with sepsis in the emergency department: trend analysis of case fatality rate

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Andrea Fabbri ◽  
Giulio Marchesini ◽  
Barbara Benazzi ◽  
Alice Morelli ◽  
Danilo Montesi ◽  
...  
Keyword(s):  
Emergency Department ◽  
High Risk ◽  
Trend Analysis ◽  
Risk Score ◽  
Case Fatality Rate ◽  
Relative Proportion ◽  
Case Fatality ◽  
Low Risk ◽  
Fatality Rate ◽  
Italian Hospital

Abstract Background The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score. Methods We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009–2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk. Results Two thousand four hundred ninety-two subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009–2010) to 5.4% (2015–2016); P < 0.001, accompanied by a reduced CFR (from 38.0 to 18.4%; P < 0.001). A group of 10 variables (admission to intensive care unit, cardio-vascular dysfunction, HIV infection, diabetes, age ≥ 80 years, respiratory diseases, number of organ dysfunction, digestive diseases, dementia and cancer) were selected by the logistic model to predict CFR with good accuracy: AUC 0.873 [0.009]. Along the years CFR decreased from 31.8% (2009–2010) to 25.0% (2015–2016); P = 0.007. The relative proportion of subjects ≥80 years (overall, 52.9% of cases) and classified as high-risk did not change along the years. CFR decreased only in low-risk subjects (from 13.3 to 5.2%; P < 0.001), and particularly in those aged ≥80 (from 18.2 to 6.6%; P = 0.003), but not in high-risk individuals (from 69.9 to 64.2%; P = 0.713). Conclusion Between 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ≥80 years.

scholarly journals The Impact of COVID-19 on Radiation Oncology and Cancer Care: A Perspective from the Cancer Belt Region of India

2020 ◽  
Vol 6 (02) ◽  
pp. 47-52
Author(s):  
Sapna Marcus ◽  
Rohit Mahajan
Keyword(s):  
Cancer Patients ◽  
Radiation Oncology ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Multimodality Treatment ◽  
Respiratory Illness ◽  
Risk Groups ◽  
The Elderly ◽  
Fatality Rate ◽  
The Impact

AbstractA pandemic coronavirus, termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causes a respiratory illness called coronavirus disease 2019 (COVID-19) that is often severe or life threatening. Considering the low immunity status of cancer patients due to multimodality treatment, they seem to be more prone to COVID-19. Given the rapidity with which the novel coronavirus (SARS-CoV-2) is spreading, we can expect an increased burden of cancer patients diagnosed with COVID-19 at oncology treatment clinics and a need to address the issues associated. As of the date of this writing, United States has been witnessing an increase in confirmed cases, not far behind are the large outbreaks of European countries. Patients with cancer may have compromised immunity due to their disease or its ongoing treatment, and early reports suggest cancer is a risk factor for severe COVID-19. Since the outbreak in Wuhan, Chinese researchers have published on their experience with COVID-19 and have highlighted high-risk groups, including the elderly and patients with comorbidities, including cancer. In one of the largest series reported from Wuhan, elderly patients were at a higher risk for disease severity with an 8.0% case fatality rate in those aged between 70 and 79 years, and 14.8% in those aged 80 years and older. The case fatality rate for cancer patients in that cohort was notably higher than noncancer patients at 5.6 versus 2.1% in the whole sample. This review focuses on the pandemic-driven strategies that need to be adopted to overcome the radiation oncology clinics burden, especially in this region of India popularly termed as the cancer belt. Although colleagues around the world have dealt with enormous service pressures in the face of natural disaster or infection previously, the global scale and challenge of COVID-19 are unprecedented. Our aim is to highlight the quintessential point that even within these circumstances the morbidity and mortality associated with cancer should not be taken lightly. Departmental protocols should be regularly upgraded to provide smooth and efficient functioning of the department.

scholarly journals Outcomes of COVID-19 in patients with CLL: a multicenter international experience

Blood ◽  
2020 ◽  
Vol 136 (10) ◽  
pp. 1134-1143 ◽  
Author(s):  
Anthony R. Mato ◽  
Lindsey E. Roeker ◽  
Nicole Lamanna ◽  
John N. Allan ◽  
Lori Leslie ◽  
...  
Keyword(s):  
High Risk ◽  
Case Fatality Rate ◽  
Kinase Inhibitors ◽  
Rating Scale ◽  
Case Fatality ◽  
Epidemiologic Studies ◽  
Lymphocytic Leukemia ◽  
Fatality Rate ◽  
Watch And Wait ◽  
Risk Of Death

Abstract Given advanced age, comorbidities, and immune dysfunction, chronic lymphocytic leukemia (CLL) patients may be at particularly high risk of infection and poor outcomes related to coronavirus disease 2019 (COVID-19). Robust analysis of outcomes for CLL patients, particularly examining effects of baseline characteristics and CLL-directed therapy, is critical to optimally manage CLL patients through this evolving pandemic. CLL patients diagnosed with symptomatic COVID-19 across 43 international centers (n = 198) were included. Hospital admission occurred in 90%. Median age at COVID-19 diagnosis was 70.5 years. Median Cumulative Illness Rating Scale score was 8 (range, 4-32). Thirty-nine percent were treatment naive (“watch and wait”), while 61% had received ≥1 CLL-directed therapy (median, 2; range, 1-8). Ninety patients (45%) were receiving active CLL therapy at COVID-19 diagnosis, most commonly Bruton tyrosine kinase inhibitors (BTKi’s; n = 68/90 [76%]). At a median follow-up of 16 days, the overall case fatality rate was 33%, though 25% remain admitted. Watch-and-wait and treated cohorts had similar rates of admission (89% vs 90%), intensive care unit admission (35% vs 36%), intubation (33% vs 25%), and mortality (37% vs 32%). CLL-directed treatment with BTKi’s at COVID-19 diagnosis did not impact survival (case fatality rate, 34% vs 35%), though the BTKi was held during the COVID-19 course for most patients. These data suggest that the subgroup of CLL patients admitted with COVID-19, regardless of disease phase or treatment status, are at high risk of death. Future epidemiologic studies are needed to assess severe acute respiratory syndrome coronavirus 2 infection risk, these data should be validated independently, and randomized studies of BTKi’s in COVID-19 are needed to provide definitive evidence of benefit.

Impact of hydroxychloroquin/azithromycin protocol on COVID-19 case-fatality rate reduction in Algeria. (Preprint)

2020 ◽  
Author(s):  
Ahmed Youssef Kada
Keyword(s):  
Case Fatality Rate ◽  
Doubling Time ◽  
Case Fatality ◽  
World Health ◽  
Fatality Rate ◽  
Therapeutic Protocol ◽  
First Case ◽  
The World ◽  
The Impact ◽  
At Home

BACKGROUND Covid-19 is an emerging infectious disease like viral zoonosis caused by new coronavirus SARS CoV 2. On December 31, 2019, Wuhan Municipal Health Commission in Hubei province (China) reported cases of pneumonia, the origin of which is a new coronavirus. Rapidly extendable around the world, the World Health Organization (WHO) declares it pandemic on March 11, 2020. This pandemic reaches Algeria on February 25, 2020, date on which the Algerian minister of health, announced the first case of Covid-19, a foreign citizen. From March 1, a cluster is formed in Blida and becomes the epicentre of the coronavirus epidemic in Algeria, its total quarantine is established on March 24, 2020, it will be smoothly alleviated on April 24. A therapeutic protocol based on hydroxychloroquine and azithromycin was put in place on March 23, for complicated cases, it was extended to all the cases confirmed on April 06. OBJECTIVE This study aimed to demonstrate the effectiveness of hydroxychloroquin/azithromycin protocol in Algeria, in particular after its extension to all patients diagnosed COVID-19 positive on RT-PCR test. We were able to illustrate this fact graphically, but not to prove it statistically because the design of our study, indeed in the 7 days which followed generalization of therapeutic protocol, case fatality rate decrease and doubling time increase, thus confirming the impact of wide and early prescription of hydroxychloroquin/azithromycin protocol. METHODS We have analyzed the data collected from press releases and follow-ups published daily by the Ministry of Health, we have studied the possible correlations of these data with certain events or decisions having a possible impact on their development, such as confinement at home and its reduction, the prescription of hydroxychloroquine/azithromycin combination for serious patients and its extension to all positive COVID subjects. Results are presented in graphics, the data collection was closed on 31/05/2020. RESULTS Covid-19 pandemic spreads from February 25, 2020, when a foreign citizen is tested positive, on March 1 a cluster is formed in the city of Blida where sixteen members of the same family are infected during a wedding party. Wilaya of Blida becomes the epicentre of coronavirus epidemic in Algeria and lockdown measures taken, while the number of national cases diagnosed begins to increases In any event, the association of early containment measures combined with a generalized initial treatment for all positive cases, whatever their degree of severity, will have contributed to a reduction in the fatality rate of COVID 19 and a slowing down of its doubling time. CONCLUSIONS In Algeria, the rapid combination of rigorous containment measure at home and early generalized treatment with hydroxychloroquin have demonstrated their effectiveness in terms of morbidity and mortality, the classic measures of social distancing and hygiene will make it possible to perpetuate these results by reducing viral transmission, the only unknown, the reopening procedure which can only be started after being surrounded by precautions aimed at ensuring the understanding of the population. CLINICALTRIAL Algeria, Covid-19, pandemic, hydroxychloroquin, azithromycin, case fatality rate

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