Effect of mutation and vaccination on spread, severity, and mortality of COVID-19 disease

Coronavirus disease 2019 (COVID‐19) has had different waves within the same country. The spread rate and severity showed different properties within the COVID‐19 different waves. The present work aims to compare the spread and the severity of the different waves using the available data of confirmed COVID‐19 cases and death cases. Real‐data sets collected from the Johns Hopkins University Center for Systems Science were used to perform a comparative study between COVID‐19 different waves in 12 countries with the highest total performed tests for severe acute respiratory syndrome coronavirus 2 detection in the world (Italy, Brazil, Japan, Germany, Spain, India, USA, UAE, Poland, Colombia, Turkey, and Switzerland). The total number of confirmed cases and death cases in different waves of COVID‐19 were compared to that of the previous one for equivalent periods. The total number of death cases in each wave was presented as a percentage of the total number of confirmed cases for the same periods. In all the selected 12 countries, Wave 2 had a much higher number of confirmed cases than that in Wave 1. However, the death cases increase was not comparable with that of the confirmed cases to the extent that some countries had lower death cases than in Wave 1, UAE, and Spain. The death cases as a percentage of the total number of confirmed cases in Wave 1 were much higher than that in Wave 2. Some countries have had Waves 3 and 4. Waves 3 and 4 have had lower confirmed cases than Wave 2, however, the death cases were variable in different countries. The death cases in Waves 3 and 4 were similar to or higher than Wave 2 in most countries. Wave 2 of COVID‐19 had a much higher spread rate but much lower severity resulting in a lower death rate in Wave 2 compared with that of the first wave. Waves 3 and 4 have had lower confirmed cases than Wave 2; that could be due to the presence of appropriate treatment and vaccination. However, that was not reflected in the death cases, which were similar to or higher than Wave 2 in most countries. Further studies are needed to explain these findings.

Palliative Care for Patients with Gynecologic Cancer in Japan: A Japan Society of Gynecologic Palliative Medicine (JSGPM) Survey

Purpose:

To evaluate palliative care for patients with gynecologic cancer in Japan.

Materials and Method:

A questionnaire asking facility characteristics, systems to coordinate palliative care, current status of end-of-life care, provision of symptom relief, palliative radiation therapy and chemotherapy, and cases of death from gynecological cancer, was mailed to facilities treating gynecologic cancer.

Results:

A total of 115 facilities (29.3% of the total) responded to the questionnaire. Of these, 33.0 (29.0%) had a palliative care ward. End-of-life care was managed by obstetricians and gynecologists in 72.0% of the facilities. The site where end-of-life care was provided was most often a ward in the department where the respondent worked. The waiting period for transfer to a hospice was 2 weeks or more in 52% of facilities. Before the start of primary treatment, pain control was managed by obstetrians and gynecologists in 98.0% of facilities. Palliative radiation therapy or chemotherapy was administered at 93.9% and 92.0% of facilities, respectively. Of the 115 facilities, 34.0 (29.6%) reported cases of death from gynecological cancer. There were 1,134 cases of death. The median time between the last cycle of chemotherapy and death was 85 days for all gynecological cancers. The proportion of patients receiving chemotherapy in the last 30 and 14 days of life were 17.4% and 7.1%, respectively.

Conclusions:

This large-scale survey showed characteristics of palliative care given to patients with gynecologic cancer in Japan. Assessment of death cases showed that the median time between the last cycle of chemotherapy and death was relatively short.

Characteristics of mortal COVID-19 cases compared to the survivors

The outbreak of coronavirus disease 2019 (COVID-19) initially occurred in December 2019 and triggered a public health emergency. The increasing number of deaths due to this disease was of great concern. Therefore, our study aimed to explore risk factors associated with COVID-19 deaths.

After having searched the PubMed, EMBASE, and CNKI for studies published as of August 10, 2020, we selected articles and extracted data. The meta-analysis was performed using Stata 16.0 software.

Nineteen studies were used in our meta-analysis. The proportions of comorbidities such as diabetes, hypertension, malignancies, chronic obstructive pulmonary disease, cardio-cerebrovascular disease, and chronic liver disease were statistically significantly higher in mortal COVID-19 cases. Coagulation and inflammatory markers, such as platelet count, D-dimer, prothrombin time, C-reactive protein, procalcitonin, and interleukin 6, predicted the deterioration of the disease. In addition, extracorporeal membrane oxygenation and mechanical ventilation predicted the poor prognosis during its progression.

The COVID-19 pandemic is still evolving, placing a huge burden on healthcare facilities. Certain coagulation indicators, inflammatory indicators, and comorbidities contribute to the prognosis of patients. Our study results may help clinicians optimize the treatment and ultimately reduce the mortality rate.

Clinical characteristics of the first known cases of death caused by COVID-19 pneumonia

Severe pneumonia caused by COVID-19 has resulted in many deaths worldwide. Here, we analyzed the clinical characteristics of the first 17 reported cases of death due to COVID-19 pneumonia in Wuhan, China. Demographics, initial symptoms, complications, chest computerized tomography (CT) images, treatments, and prognoses were collected and analyzed from the National Health Committee of China data. The first 17 reported deaths from COVID-19 were predominately in older men; 82.35% of patients were older than 65 years, and 76.47% were males. The most common initial symptoms were fever or fatigue (14 cases, 82.35%), respiratory symptoms, such as cough (12 cases, 70.59%), and neurological symptoms, such as headache (3 cases, 17.65%). The most common finding of chest CT was viral pneumonia (5 cases, 29.41%). Anti-infectives (11 cases, 64.71%) and mechanical ventilation (9 cases, 52.94%) were commonly used for treatment. Most of the patients (16 cases, 94.12%) died of acute respiratory distress syndrome (ARDS). Our findings show that advanced age and male gender are effective predictors of COVID-19 mortality, and suggest that early interventions to reduce the incidence of ARDS may improve prognosis of COVID-19 pneumonia patients.