The disproportionate case-fatality ratio of COVID-19 between countries with the highest vaccination rates and the rest of the world.

Objectives: The global reported cumulative case-fatality ratios (rCFRs) and excess mortality rates of the 20 countries with the highest coronavirus disease 2019 (COVID-19) vaccination rates, the rest of the world and Sub-Saharan Africa (SSA) were compared before and after the commencement of vaccination programmes. Methods: A time series model was used to understand the trend of rCFR over time, and a generalized linear mixed model was used to understand the effect of vaccination on rCFR. Results: By 31 December 2022, an average of 260.3 doses of COVID-19 vaccine per 100 population had been administered in the top 20 vaccinated countries, compared with 152.1 doses in the rest of the world and 51.2 doses in SSA. The mean rCFR of COVID-19 had decreased by 69.0% in the top 20 vaccinated countries, 26.5% in the rest of the world and 7.6% in SSA. Excess mortality had decreased by 48.7% in the top 20 vaccinated countries, compared with 62.5% in the rest of the world and 60.7% in SSA. In a generalized linear mixed model, the reported number of vaccine doses administered (/100 population) (odds ratio 0.64) was associated with a steeper reduction in COVID-19 rCFR. Conclusions: Vaccine equity and faster roll-out across the world is critically important in reducing COVID-19 transmission and CFR.

A comparative study on HIPAA technical safeguards assessment of android mHealth applications.

Protecting personal health records is becoming increasingly important as more people use Mobile Health applications (mHealth apps) to improve their health outcomes. These mHealth apps enable consumers to monitor their health-related problems, store, manage, and share health records, medical conditions, treatment, and medication. With the increase of mHealth apps accessibility and usability, it is crucial to create, receive, maintain or transmit protected health information (PHI) on behalf of a covered entity or another business associate. The Health Insurance Portability and Accountability Act (HIPAA) provides guidelines to the app developers so that the apps must be compliant with required and addressable Technical Safeguards. However, most mobile app developers, including mHealth apps are not aware of HIPAA security and privacy regulations. Therefore, a research opportunity has emerged to develop an analytical framework to assist the developer to maintain a secure and HIPAA-compliant source code and raise awareness among consumers about the privacy and security of sensitive and personal health information. We proposed an Android source code analysis framework that evaluates twelve HIPAA Technical Safeguards to check whether a mHealth application is HIPAA compliant or not. The implemented meta-analysis and data-flow analysis algorithms efficiently identify the risk and safety features of mHealth apps that violate HIPAA regulations. Furthermore, we addressed API level checking for secure data communication mandated by recent CMS guidelines between third-party mobile health apps and EHR systems. Experimentally, a web-based tool has been developed for evaluating the efficacy of analysis techniques and algorithms. We have investigated 200 top popular Medical and Health & Fitness category Android apps collected from Google Play Store. We identified from the comparative analysis of the HIPAA rules assessment results that authorization to access sensitive resources, data encryption-decryption, and data transmission security is the most vulnerable features of the investigated apps. We provided recommendations to app developers about the most common mistake made at the time of app development and how to avoid these mistakes to implement secure and HIPAA-compliant apps. The proposed framework enables us to develop an IDE plugin for mHealth app developers and a web-based interface for mHealth app consumers.

Characteristics, Comorbidities, Complications, and Outcomes Among 802 Patients With Severe Acute Respiratory Syndrome Coronavirus 2 in a Community Hospital in Florida.

OBJECTIVES: Coronavirus disease 2019 continues to increase throughout the United States. Despite the rapid progression of the disease, there is limited information of the factors associated with mortality in Florida. This study aims to review the demographics, characteristics, comorbidities, complications, and outcomes of hospitalized patients, and their association with mortality. DESIGN: Cohort study. SETTING: A community-based tertiary-care hospital of Orlando Health, Orlando Regional Medical Center. PATIENTS/SUBJECTS: Data of hospitalized patients who tested positive for severe acute respiratory syndrome coronavirus 2 between March 1, 2020, and August 31, 2020, at the Orlando Regional Medical Center. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Main data assessed included patient demographics, clinical characteristics, comorbidities, complications, outcomes, and inhospital mortality. The median age for hospitalized patients was 61 years; among them, 56% were males. Most were of African American (n = 288, 35.9%), Hispanic (n = 237, 29.6%), and Caucasian (n = 217, 27.1%) descent. More patients presented with symptoms developing at home (n = 589, 75.9%) than from skilled nursing and long-term acute care facilities. The most common comorbidities were diabetes mellitus (42.8%), obesity (39.2%), lung disease (23.3%), coronary artery disease (20.2%), and congestive heart failure (18.3%). Complications with higher odds of mortality were mechanical ventilation (odds ratio, 148.00, p < 0.001), coinfections (odds ratio, 56.42, p < 0.001), acute kidney injury (odds ratio, 84.01, p < 0.001), atrial fibrillation (odds ratio, 28.30, p < 0.001), acute myocardial infarction (odds ratio, 23.29, p < 0.001), and acute venous thromboembolism (odds ratio, 26.43, p < 0.001). CONCLUSIONS: We identified an increase of severity of coronavirus disease 2019 within older patients of African American and Hispanic descent with comorbidities such as diabetes, coronary artery disease, congestive heart failure, chronic kidney disease, cancer, liver disease, or cerebrovascular disease. Noninvasive positive-pressure ventilation and high-flow nasal cannula oxygen may have helped avert mechanical ventilation, and this may have improved patient outcomes over the course of the study period.

The Global Case-Fatality Rate of COVID-19 Has Been Declining Since May 2020.

The objective of this study was to evaluate the trend of reported case fatality rate (rCFR) of COVID-19 over time, using globally reported COVID-19 cases and mortality data. We collected daily COVID-19 diagnoses and mortality data from the WHO's daily situation reports dated January 1 to December 31, 2020. We performed three time-series models [simple exponential smoothing, auto-regressive integrated moving average, and automatic forecasting time-series (Prophet)] to identify the global trend of rCFR for COVID-19. We used beta regression models to investigate the association between the rCFR and potential predictors of each country and reported incidence rate ratios (IRRs) of each variable. The weekly global cumulative COVID-19 rCFR reached a peak at 7.23% during the 17th week (April 22-28, 2020). We found a positive and increasing trend for global daily rCFR values of COVID-19 until the 17th week (pre-peak period) and then a strong declining trend up until the 53rd week (post-peak period) toward 2.2% (December 29-31, 2020). In pre-peak of rCFR, the percentage of people aged 65 and above and the prevalence of obesity were significantly associated with the COVID-19 rCFR. The declining trend of global COVID-19 rCFR was not merely because of increased COVID-19 testing, because COVID-19 tests per 1,000 population had poor predictive value. Decreasing rCFR could be explained by an increased rate of infection in younger people or by the improvement of health care management, shielding from infection, and/or repurposing of several drugs that had shown a beneficial effect on reducing fatality because of COVID-19.

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi.

The current SARS-CoV-2, better know as COVID-19, has emerged as a serious pandemic with life-threatening clinical manifestations and a high mortality rate. One of the major complications of this disease is the rapid and dangerous pulmonary deterioration that can lead to critical pneumonia conditions, resulting in death. The current healthcare system around the world faces the potential problem of lacking resources to assist a large number of patients at the same time; then, the non-critical patients are mostly referred to perform self-isolation/quarantine at home. This pandemic has placed new demands on the health systems world, asking for novel, rapid and secure ways to monitor patients in order to detect and quickly report patient's symptoms to the healthcare provider, even if they are not in the hospital. While tremendous efforts have been done to develop technologies to detect the virus, create the vaccine, and stop the spread of the disease, it is also important to develop IoT technologies that can help track and monitor diagnosed COVID-19 patients from their homes. In this paper, we explore the possibility of monitoring respiration rates (RR) of COVID-19 patients using a widely-available technology at home - WiFi. Using the at-home WiFi signals, we propose Wi-COVID, a non-invasive and non-wearable technology to monitor the patient and track RR for the healthcare provider. We first introduce the currently available applications that can be done using WiFi signals. Then, we propose the framework scheme for an end-to-end non-invasive monitoring platform of the COVID-19 patients using WiFi. Finally, we present some preliminary results of the proposed framework. We envision the proposed platform as a life-changing technology that leverages WiFi technology as a non-wearable and non-invasive way to monitor COVID-19 patients at home.

Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data-Driven Approach Backed by Sepsis Pathophysiology.

BACKGROUND: Considering morbidity, mortality, and annual treatment costs, the dramatic rise in the incidence of sepsis and septic shock among intensive care unit (ICU) admissions in US hospitals is an increasing concern. Recent changes in the sepsis definition (sepsis-3), based on the quick Sequential Organ Failure Assessment (qSOFA), have motivated the international medical informatics research community to investigate score recalculation and information retrieval, and to study the intersection between sepsis-3 and the previous definition (sepsis-2) based on systemic inflammatory response syndrome (SIRS) parameters. OBJECTIVE: The objective of this study was three-fold. First, we aimed to unpack the most prevalent criterion for sepsis (for both sepsis-3 and sepsis-2 predictors). Second, we intended to determine the most prevalent sepsis scenario in the ICU among 4 possible scenarios for qSOFA and 11 possible scenarios for SIRS. Third, we investigated the multicollinearity or dichotomy among qSOFA and SIRS predictors. METHODS: This observational study was conducted according to the most recent update of Medical Information Mart for Intensive Care (MIMIC-III, Version 1.4), the critical care database developed by MIT. The qSOFA (sepsis-3) and SIRS (sepsis-2) parameters were analyzed for patients admitted to critical care units from 2001 to 2012 in Beth Israel Deaconess Medical Center (Boston, MA, USA) to determine the prevalence and underlying relation between these parameters among patients undergoing sepsis screening. We adopted a multiblind Delphi method to seek a rationale for decisions in several stages of the research design regarding handling missing data and outlier values, statistical imputations and biases, and generalizability of the study. RESULTS: Altered mental status in the Glasgow Coma Scale (59.28%, 38,854/65,545 observations) was the most prevalent sepsis-3 (qSOFA) criterion and the white blood cell count (53.12%, 17,163/32,311 observations) was the most prevalent sepsis-2 (SIRS) criterion confronted in the ICU. In addition, the two-factored sepsis criterion of high respiratory rate (≥22 breaths/minute) and altered mental status (28.19%, among four possible qSOFA scenarios besides no sepsis) was the most prevalent sepsis-3 (qSOFA) scenario, and the three-factored sepsis criterion of tachypnea, high heart rate, and high white blood cell count (12.32%, among 11 possible scenarios besides no sepsis) was the most prevalent sepsis-2 (SIRS) scenario in the ICU. Moreover, the absolute Pearson correlation coefficients were not significant, thereby nullifying the likelihood of any linear correlation among the critical parameters and assuring the lack of multicollinearity between the parameters. Although this further bolsters evidence for their dichotomy, the absence of multicollinearity cannot guarantee that two random variables are statistically independent. CONCLUSIONS: Quantifying the prevalence of the qSOFA criteria of sepsis-3 in comparison with the SIRS criteria of sepsis-2, and understanding the underlying dichotomy among these parameters provides significant inferences for sepsis treatment initiatives in the ICU and informing hospital resource allocation. These data-driven results further offer design implications for multiparameter intelligent sepsis prediction in the ICU.

Pneumothorax and Pneumomediastinum Secondary to COVID-19 Disease Unrelated to Mechanical Ventilation.

In the recent worldwide coronavirus 2019 pandemic, a notable rise in pneumomediastinum and pneumothorax complications has been witnessed in numerous mechanically ventilated patients infected with severe acute respiratory syndrome coronavirus 2. Most cases have reported these complications as barotrauma from mechanical ventilation with COVID-19 disease. We aim to report three polymerase chain reaction-confirmed COVID-19 patients who developed pneumomediastinum and pneumothorax unrelated to mechanical ventilation. We originally analyzed 800 patients with COVID-19 disease at Orlando Regional Medical Center from March 1, 2020, to July 31, 2020, of which 12 patients developed pneumomediastinum and pneumothorax in their hospital course. Interestingly, three patients developed pneumomediastinum on chest imaging prior to intubation. We present these three patients, one female and two males, ages of 42, 64, and 65, respectively, who were diagnosed with COVID-19 disease through nasopharyngeal sampling tests with acute respiratory distress syndrome. Spontaneous pneumomediastinum and pneumothorax are potential complications of COVID-19 disease in the lungs unrelated to mechanical ventilation. This is similar to previous outbreaks of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) diseases. Further investigation is needed to define the causality of pneumomediastinum in nonintubated COVID-19 patients to define the incidence of disease.

Bilateral pleural masses in an immunocompromised patient.

We present a case of persistent pleural masses with mediastinal adenopathy in an immunocompromised patient initially biopsied, diagnosed and treated for Pneumocystis jiroveci pneumonia, ultimately requiring surgical thoracoscopy to diagnose pulmonary histoplasmosis. We discuss the diagnostic approach for pleural masses in immunocompromised patients, the limitations of tissue sampling, interpretation and methodology, and pitfalls of testing in making a pathogen-specific diagnosis.

Sarcoidosis-Like Granulomatous Lymphadenopathy Mistaken for Neoplastic Disease on Positron Emission Tomography.

This is a rare case of sarcoidosis-like granulomatous lymphadenopathy that was initially mistaken for a neoplastic process due to the degree of hypermetabolic changes observed on positron emission tomography (PET) scan. Sarcoid-like granulomatous pulmonary disease is a disorder that has been described in WTC (World Trade Center) Rescue Workers, and also known as post 9/11 sarcoidosis. We present an interesting case of a man who presented with several months of progressive dyspnea and was later discovered to have significant bilateral hilar adenopathy, which was PET avid. Even more interesting, this patient's symptoms completely resolved without the use of systemic steroids or immune suppressants. This is a condition that requires awareness in order to avoid repeating unnecessary tests of performing interventions on a benign condition that may resolve on its own.

Postmortem Investigation of Immunohistochemical Staining and Gross Description of Sarcomatoid Carcinoma of the Lung in a Patient With Extreme Leukemoid Reaction.

A 72-year-old male smoker was brought into the emergency department complaining of 4 months of progressive dyspnea and fatigue. Computed tomography angiogram of the lungs was negative for pulmonary embolism; however, a 10 cm right upper lobe mass and multiple bilateral pulmonary nodules were identified. While computed tomography scan of the head showed no lesions in the brain, there was osseous destruction of the right mandible. Records obtained from an outside hospital indicated that he had 2 prior biopsies of this lung mass that failed to show malignant cells. In addition, an outpatient positron emission tomography scan had shown increased tracer uptake in this mass as well as multiple nodules in the contralateral lung and in the left adrenal gland. This gentleman was admitted for sepsis and was started on broad-spectrum antibiotics. He continued to have respiratory compromise and required transfer to the intensive care unit for intubation and mechanical ventilation. Over the next 4 days, the patient progressed into septic shock requiring vasopressors and developed worsening respiratory failure. His white blood cell count continued to rise and peaked at 157 × 103 cells/µL. The patient's wife decided to proceed with comfort measures and the patient subsequently expired. Autopsy was consistent with sarcomatoid carcinoma, also known as giant cell carcinoma of the lung. Immunohistochemical staining was also performed, which identified several tumor markers as well as distant metastasis, hemorrhage, and multi-organ necrosis.

Nationwide trends of severe sepsis in the 21st century (2000-2007).

BACKGROUND: Severe sepsis is common and often fatal. The expanding armamentarium of evidence-based therapies has improved the outcomes of persons with this disease. However, the existing national estimates of the frequency and outcomes of severe sepsis were made before many of the recent therapeutic advances. Therefore, it is important to study the outcomes of this disease in an aging US population with rising comorbidities. METHODS: We used the Healthcare Costs and Utilization Project's Nationwide Inpatient Sample (NIS) to estimate the frequency and outcomes of severe sepsis hospitalizations between 2000 and 2007. We identified hospitalizations for severe sepsis using International Classification of Diseases, Ninth Revision, Clinical Modification codes indicating the presence of sepsis and organ system failure. Using weights from NIS, we estimated the number of hospitalizations for severe sepsis in each year. We combined these with census data to determine the number of severe sepsis hospitalizations per 100,000 persons. We used discharge status to identify in-hospital mortality and compared mortality rates in 2000 with those in 2007 after adjusting for demographics, number of organ systems failing, and presence of comorbid conditions. RESULTS: The number of severe sepsis hospitalizations per 100,000 persons increased from 143 in 2000 to 343 in 2007. The mean number of organ system failures during admission increased from 1.6 to 1.9 (P < .001). The mean length of hospital stay decreased from 17.3 to 14.9 days. The mortality rate decreased from 39% to 27%. However, more admissions ended with discharge to a long-term care facility in 2007 than in 2000 (35% vs 27%, P < .001). CONCLUSIONS: An increasing number of admissions for severe sepsis combined with declining mortality rates contribute to more individuals surviving to hospital discharge. Importantly, this leads to more survivors being discharged to skilled nursing facilities and home with in-home care. Increased attention to this phenomenon is warranted.