Comparison of clinical, radiological and laboratory findings in discharged and dead patients with COVID-19

The significant role of Carbapenems-resistant Acinetobacter Baumannii in mortality rate of patients with COVID-19

Background: Infections caused by Acinetobacter baumannii, especially carbapenem-resistant (CR) strains, pose important challenges in patients with COVID-19 infection. Therefore, in the present study, we investigated co-infection and antimicrobial resistance patterns, as well as the role of A. baumannii in the outcome of patients with COVID-19.

Materials and methods: Between February 2019 and January 2021, 141 patients with A. baumannii infections were detected from seven different hospitals (A to G) in Arak, Iran, and the antibacterial susceptibility pattern of these isolates was evaluated using disk diffusion and E-test methods. Forty-seven of these patients were co-infected with COVID-19. During the study, the data about the clinical course, demographic data, and the role of A. baumannii infections in the mortality rate of COVID-19 patients were collected.

Results: Hospitals A and B reported the most patients, with 53 (38%) and 47 (33%), respectively. Additionally, most cases (105 cases, 75%) were reported from surgical and general ICUs. Mechanical ventilators were detected as predisposing factors in 95 (67%) patients, and infection was detected in 20% of patients on the 10th day after intubation. All of the A. baumannii isolates were resistant to different classes of antibiotics, such as carbapenems. Notably, 33% (47 patients) were also positive for COVID-19, and 68% (32 patients) died due to the infection. Statistical analysis showed a significant role of A. baumannii co-infection in the mortality rate of COVID-19 patients (p-value 0.05).

Conclusion: co-infection with A. baumannii is one of the most important challenges in COVID-19 patients. Our results showed that all isolated bacteria were CR and significantly increased mortality rates in COVID-19 patients.

The significant role of Carbapenems-resistant Acinetobacter Baumannii in mortality rate of patients with COVID-19

Background: Infections caused by Acinetobacter baumannii, especially carbapenem-resistant (CR) strains, pose important challenges in patients with COVID-19 infection. Therefore, in the present study, we investigated co-infection and antimicrobial resistance patterns, as well as the role of A. baumannii in the outcome of patients with COVID-19. Materials and methods: Between February 2019 and January 2021, 141 patients with A. baumannii infections were detected from seven different hospitals (A to G) in Arak, Iran, and the antibacterial susceptibility pattern of these isolates was evaluated using disk diffusion and E-test methods. Forty-seven of these patients were co-infected with COVID-19. During the study, the data about the clinical course, demographic data, and the role of A. baumannii infections in the mortality rate of COVID-19 patients were collected. Results: Hospitals A and B reported the most patients, with 53 (38%) and 47 (33%), respectively. Additionally, most cases (105 cases, 75%) were reported from surgical and general ICUs. Mechanical ventilators were detected as predisposing factors in 95 (67%) patients, and infection was detected in 20% of patients on the 10th day after intubation. All of the A. baumannii isolates were resistant to different classes of antibiotics, such as carbapenems. Notably, 33% (47 patients) were also positive for COVID-19, and 68% (32 patients) died due to the infection. Statistical analysis showed a significant role of A. baumannii co-infection in the mortality rate of COVID-19 patients (p-value 0.05). Conclusion: co-infection with A. baumannii is one of the most important challenges in COVID-19 patients. Our results showed that all isolated bacteria were CR and significantly increased mortality rates in COVID-19 patients.

Evaluating the characteristics of patients with SARS-CoV-2 infection admitted during COVID-19 peaks: A single-center study

Background

Nowadays, the world is facing a coronavirus disease (COVID-19) pandemic, elicited by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At the time of studying, five COVID-19 waves occurred in Iran. We aimed to evaluate the characteristics of patients with SARS-CoV-2 infection admitted to Vasei Hospital of Sabzevar, Iran during COVID-19 peaks.

Methods

Clinical manifestations, laboratory findings, radiological findings, and underlying diseases of patients with COVID-19 were obtained from electronic medical records. Then, this information was compared in patients with SARS-CoV-2 infection to the peaks of COVID-19.

Results

The highest and lowest respiratory involvements were observed in the third (74.6%) and fourth (38.8%) peaks, respectively. The most common radiological finding in all peaks was ground-glass opacity (28.98%), followed by consolidation, which was the highest (14.6%) in peak three. The lymphocyte count decreased in all peaks. Its highest reduction (16.12) occurred in the third peak. The SpO2 was lower than normal range in all peaks, except for the second (90.77%) and fifth (91.06%) peaks. Dyspnea (52.36%) was the most and dizziness (1.26%) and sore throat (0.6%) were the least frequent symptoms. The mortality rates were 14. 4%, 18.2%, 23%, 9.02%, and 9.4% in the first to fifth peaks, respectively.

Conclusion

As different variants of the SARS-CoV-2 virus were predominant in each wave, COVID-19 patients had different features in various peaks. The fifth wave of COVID-19 had the highest number of hospitalized patients, while the first peak had the lowest number. Perhaps, the significant increase in testing capacity in the fifth wave and its long time period are the reasons for this growth. Most of the clinical symptoms were similar in all peaks, but the incidence was different. As patients hospitalized in the third peak had the highest rate of underlying disease, it can be a reason for the increase in the death rate of patients. We did not observe any significant differences in laboratory tests among the patients during different peaks. Thus, we should be vigilant in continuously studying the characteristics of the disease, and be able to modify treatments rapidly if necessary.

Predicting the COVID-19 Patients Status Using Chest CT Scan Findings: A Risk Assessment Model Based on Decision Tree Analysis

BACKGROUND

The role of chest computed tomography (CT) to diagnose coronavirus disease 2019 (COVID-19) is still an open field to be explored. The aim of this study was to apply the decision tree (DT) model to predict critical or non-critical status of patients infected with COVID-19 based on available information on non-contrast CT scans.

METHODS

This retrospective study was performed on patients with COVID-19 who underwent chest CT scans. Medical records of 1078 patients with COVID-19 were evaluated. The classification and regression tree (CART) of decision tree model and k-fold cross-validation were used to predict the status of patients using sensitivity, specificity, and area under the curve (AUC) assessments.

RESULTS

The subjects comprised of 169 critical cases and 909 non-critical cases. The bilateral distribution and multifocal lung involvement were 165 (97.6%) and 766 (84.3%) in critical patients, respectively. According to the DT model, total opacity score, age, lesion types, and gender were statistically significant predictors for critical outcomes. Moreover, the results showed that the accuracy, sensitivity and specificity of the DT model were 93.3%, 72.8%, and 97.1%, respectively.

CONCLUSIONS

The presented algorithm demonstrates the factors affecting health conditions in COVID-19 disease patients. This model has the potential characteristics for clinical applications and can identify high-risk subpopulations that need specific prevention. Further developments including integration of blood biomarkers are underway to increase the performance of the model.

The potential role of telemedicine in the infectious disease pandemic with an emphasis on COVID-19: A narrative review

Background and Aims

Due of its low cost, rapid speed, data record, and vast communication coverage, information and communication technology might be useful for health-related fields in times of crisis. By providing medical or hygienic services to a patient who lives elsewhere using communication methods like email, fax, cellphones, applications, and wireless gadgets, telemedicine can aid in the better management of diseases. Reviewing the potential role of telemedicine in the pandemic of infectious diseases with a focus on the Coronavirus disease 2019 (COVID-19) epidemic was the main goal of this study.

Methods

"Google Scholar," "PubMed," "Science Direct," and "Scopus" databases were searched to collect the papers that identify the advantages and disadvantages of telemedicine in the disease pandemic. Searched keywords include: telepharmacy, telemedicine, remote communication, pandemic(s), epidemic, distant care, distant communication, phone consulation, video conference communication and patient education.

Results

Information and communication technology are crucial, especially when dealing with pandemics of infectious diseases like COVID-19. Less "in-person" patient visits to hospitals as a result of telemedicine eventually means less labor for the medical staff, less viral exposure for patients, and ultimately less disease spread. By establishing a bidirectional reciprocal relationship between patients and healthcare providers although they are in separate geographical areas, it can improve patient health status.

Conclusion

Governments are currently facing a significant budgetary burden because to the COVID-19 pandemic. Since patients are not sent to medical facilities in person, which could be a source of infection, telemedicine reduces disease spread while saving money.

Evaluating the characteristics of patients with SARS-CoV-2 infection admitted during COVID-19 peaks: A single-center study

Background

Nowadays, the world is facing a coronavirus disease (COVID-19) pandemic, elicited by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At the time of studying, five COVID-19 waves occurred in Iran. We aimed to evaluate the characteristics of patients with SARS-CoV-2 infection admitted to Vasei Hospital of Sabzevar, Iran during COVID-19 peaks.

Methods

Clinical manifestations, laboratory findings, radiological findings, and underlying diseases of patients with COVID-19 were obtained from electronic medical records. Then, this information was compared in patients with SARS-CoV-2 infection to the peaks of COVID-19.

Results

The highest and lowest respiratory involvements were observed in the third (74.6%) and fourth (38.8%) peaks, respectively. The most common radiological finding in all peaks was ground-glass opacity (28.98%), followed by consolidation, which was the highest (14.6%) in peak three. The lymphocyte count decreased in all peaks. Its highest reduction (16.12) occurred in the third peak. The SpO2 was lower than normal range in all peaks, except for the second (90.77%) and fifth (91.06%) peaks. Dyspnea (52.36%) was the most and dizziness (1.26%) and sore throat (0.6%) were the least frequent symptoms. The mortality rates were 14. 4%, 18.2%, 23%, 9.02%, and 9.4% in the first to fifth peaks, respectively.

Conclusion

As different variants of the SARS-CoV-2 virus were predominant in each wave, COVID-19 patients had different features in various peaks. The fifth wave of COVID-19 had the highest number of hospitalized patients, while the first peak had the lowest number. Perhaps, the significant increase in testing capacity in the fifth wave and its long time period are the reasons for this growth. Most of the clinical symptoms were similar in all peaks, but the incidence was different. As patients hospitalized in the third peak had the highest rate of underlying disease, it can be a reason for the increase in the death rate of patients. We did not observe any significant differences in laboratory tests among the patients during different peaks. Thus, we should be vigilant in continuously studying the characteristics of the disease, and be able to modify treatments rapidly if necessary.