Pneumocystis jirovecii pneumonia complicated a case of SARS-CoV-2 infection and multiple sclerosis after treatment with rituximab.

Although immunodeficient patients are less prone to develop Coronavirus disease 2019 (COVID-19)-mediated cytokine storm, secondary infections can cause serious complications in this vulnerable population. They are more likely to develop opportunistic infections that can mimic the symptoms of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Herein, we presented a 27-year-old male patient of SARS-CoV-2 infection, who was complicated with Pneumocystis jirovecii pneumonia (PJP), following treatment with rituximab. First, he was hospitalized for 5 days with fever, cough, and dyspnea due to COVID-19 infection, and treated with remdesivir and glucocorticoid. Then, he has been referred to our center with cough, dyspnea, body pain, and fever. Due to persistent fever, the progression of pulmonary lesions, and reduced oxygen saturation, we began treatment with piperacillin + tazobactam, vancomycin, and levofloxacin. Nevertheless, the patient's fever did not stop after the aforementioned empiric treatment and his condition got worse and he was admitted to the intensive care unit. The result of BAL fluid, tested for P. jirovecii by RT-PCR, turned out to be positive. Therefore, we started trimethoprim-sulfamethoxazole and dexamethasone, which improved his condition. We hope this article helps clinicians consider causes other than COVID-19, especially opportunistic infections such as PJP, in patients with respiratory symptoms and fever.

Impact of Negative Fluid Balance on Mortality and Outcome of Patients with Confirmed COVID-19.

Purpose: Maintaining the proper fluid balance is a fundamental step in the management of hospitalized patients. The current study evaluated the impact of negative fluid balance on outcomes of patients with confirmed COVID-19. Methods: We considered the negative fluid balance as a higher output fluid compared to the input fluid. The fluid balance was categorized into four groups (group 4: -850 to -500 ml/day; group 3: -499 to -200 ml/day, group 2: -199 to 0 ml/day, and group 1 : 1 to 1000 ml/day) and included ordinally in the model. The outcomes were all-cause mortality, length of hospitalization, and improvement in oxygen saturation. Results: The fluid balance differed significantly among nonsurvivors and survivors (MD: -317.93, 95% CI: -410.21, -225.69, and p < 0.001). After adjusting for potential confounders, there was a significantly lower frequency of mortality in patients with negative fluid balance compared to the controls (aRR: 0.69, 95% CI: 0.57, 0.84, and p < 0.001). Similarly, the length of hospitalization was significantly shorter in the negative fluid balance group in comparison to the control group (aMD: -1.01, 95% CI: -1.74, -0.28, and p=0.006). Conclusion: We determined that the negative fluid balance was associated with favorable outcomes in COVID-19 patients. The negative fluid balance was associated with the reduced mortality rate and length of hospitalization as well as improvement in oxygen saturation. Moreover, the NT-proBNP >781 pg/mL and fluid balance >-430 mL might be the predictors for positive fluid balance and mortality, respectively.

One-year prevalence and the association between SARS-CoV-2 cycle threshold, comorbidity and outcomes in population of Babol, North of Iran (2020-2021)

Background: The present study aimed to investigate the one-year prevalence of SARS-CoV-2, common comorbidities and demographic information among negative- and positive rRT-PCR in health care workers (HCW), hospitalized and outpatients. Also, the association between SARS-CoV-2 cycle threshold (Ct) and the outcomes of patients were analyzed in Babol, northern Iran. Methods: This large retrospective cross-sectional study was performed between March 2020 and March 2021. The records of 19232 hospitalized, outpatients and HCW suspected to COVID-19 were collected from teaching hospitals in the North of Iran. Results: Out of the 19232 suspected to COVID-19 patients, 7251 (37.7%) had a positive rRT-PCR result;652 (9%), 4599 (63.4%) and 2000 (27.6%) of those were categorized as HCW, hospitalized and outpatients, respectively. Moreover, between the hospitalized and the outpatient group, 10.2 and 0.8% cases died, whereas no death cases were reported in the HCW. Furthermore, it seems that death rate was significantly different between the three groups of Ct value, the highest mortality in those with Ct between 21 and 30 (group B=7.6%) and the lowest in the group with the highest Ct (between 31 and 40 = 5.5%) (p<0.001). Conclusion: In summary, 37.7% of cases were positive for SARS-CoV-2;of which, 63.4, 27.6 and 9% were hospitalized, outpatients and HCW, respectively. With regard to the mortality rate in hospitalized patients and the significant association with Ct under 20 and 30, it seems that the early detection and the initial quantification of SARS-CoV-2 in the first week of the conflict and therapeutic considerations to reduce the relative load can reduce the mortality rate.

Comparing the outcomes of treatment with INF-ß 1-a (interferon beta-1a) and IFN-ß 1-b (interferon beta-1b) among COVID-19 inpatients.

BACKGROUND: IFNßs are known as one of the most promising drugs used for COVID-19 treatment. This study aimed to investigate the effects of treatment with INF-ß 1-a (interferon beta-1a) and IFN-ß 1-b (interferon beta-1b) on COVID-19 inpatients. METHODS: In this study, we retrospectively evaluated the clinical treatment outcomes of 100 patients with COVID-19 who received IFN-ß 1-a and IFN-ß 1-b during their hospitalization period. The rate of discharge from the hospital was considered equal to the clinical improvement and then evaluated as a primary outcome. Moreover, mortality, ICU admission and length of ICU stay, frequency of intubation and use of mechanical ventilation, duration of hospitalization, laboratory factors, and medications were assessed as secondary outcomes. RESULTS: The median discharge time of IFN-ß 1a recipients was approximately equal to that of IFN-ß 1-b recipients as 9 (5-10) days and 7 (5-11) days, respectively (HR = 2.43, P = 0.75). Mortality rate was also estimated as 10% among IFN-ß 1-a recipients and 14% among IFN-ß 1-b recipients, which was not statistically significant (p = 0.190). ICU hospitalization rate for the IFN-ß 1-a recipients and IFN-ß 1-b recipients was 26% and 36%, respectively. In addition, no significant difference was found between these two intervention groups in terms of ICU length of stay (1 (0-2) vs. 1 (0-4.25(, respectively,) P = 0.357). There was no significant difference between the two study groups in terms of frequency of mechanical ventilation and length of hospital stay. CONCLUSION: There was no significant difference between the two groups in terms of shortening the disease time, clinical improvements and other outcomes.

C-Reactive Protein as a Prognostic Indicator in COVID-19 Patients.

While some biomolecules have been explored to identify potential biomarkers for the prognosis of COVID-19 patients, there is no reliable prognostic indicator of the disease progression and severity. We aimed to evaluate the ability of the C-reactive protein (CRP) to predict COVID-19 infection outcome. This retrospective study was conducted on 429 patients diagnosed with COVID-19 between March 30, 2020, and April 30, 2020. The study population was divided into severe (n = 175) and nonsevere cases (n = 254). Data on demographic characteristics, clinical features, and laboratory findings on admission were collected. The proportion of patients with increased CRP levels was significantly higher in severe cases than in nonsevere patients. Analysis of the receiver operating characteristic (ROC) curve found that CRP could be used as an independent factor in predicting the severity of COVID-19. Also, patients with CRP >64.75 mg/L were more likely to have severe complications. In conclusion, CRP serum levels can predict the severity and progression of illness in patients with COVID-19.

Reduced frequency of T helper 17 and T helper 1 cells and their association with critical coronavirus disease 2019.

There is very little knowledge about the immune responses, particularly cellular immunity to coronavirus disease 2019 (COVID-19). The main objective of this study was to evaluate the frequency of T helper (Th) cell subtypes, including Th1, Th17, and Treg cells, in moderate-to-severe and critical COVID-19 patients compared to healthy controls. Twenty-nine moderate-to-severe and 13 critical patients confirmed for COVID-19, and 15 healthy subjects were included in this study. Interferon-γ (IFN-γ)-producing Th1 and interleukin-17A-producing Th17 and Treg cells in peripheral blood were measured with flow cytometry. The frequency of Th1 and Th17 was significantly decreased in critical patients compared to healthy subjects (aMD: -2.76 and - 2.34) and moderate-to-severe patients (aMD: -1.89 and - 1.89), respectively (p < 0.05). Differences were not significant between moderate-to-severe patients and healthy subjects for both Th1 (p = 0.358) and Th17 (p = 0.535), respectively. In contrast, significant difference was not observed between study subjects regarding the frequency of Treg cells. Patients with critical COVID-19 had a markedly lower Th1/Treg and Th17/Treg ratios compared with the controls and moderate-to-severe cases. Our study showed a dysregulated balance of Th1 and Th17 cells and its relation to the severity of COVID-19.

Clinical and laboratory findings from patients with COVID-19 pneumonia in Babol North of Iran: a retrospective cohort study.

BACKGROUND: In December 2019, China has experienced an outbreak of novel coronavirus disease 2019 (COVID-19). Coronavirus has now spread to all of the continents. We aimed to consider clinical characteristics, laboratory data of COVID-19 that provided more information for the research of this novel virus. METHODS: We performed a retrospective cohort study on the clinical symptoms and laboratory findings of a series of the 100 confirmed patients with COVID-19. These patients were admitted to the hospitals affiliated to Babol University of Medical Sciences (Ayatollah Rohani, Shahid Beheshti and Yahyanejad hospitals) form 25 February 2020 to 12 March 2020. RESULTS: Nineteen patients died during hospitalization and 81 were discharged. Non-survivor patients had a significantly higher C-reactive protein (CRP) (MD: 46.37, 95% CI: 20.84, 71.90; P = 0.001), white blood cells (WBCs) (MD: 3.10, 95% CI: 1.53, 4.67; P < 0.001) and lower lymphocyte (MD: -8.75, 95% CI: -12.62, -4.87; P < 0.001) compared to survivor patients Data analysis showed that comorbid conditions (aRR: 2.99, 95% CI: 1.09, 8.21, P = 0.034), higher CRP levels (aRR: 1.02, 95% CI: 1.01, 1.03, P = 0.044), and lower lymphocyte (aRR: 0.82, 95% CI: 0.73, 0.93, P = 0.003) were associated with increased risk of death. CONCLUSIONS: Based on our findings, most non-survivors are elderly with comorbidities. Lymphopenia and increased levels of WBCs along with elevated CRP were associated with increased risk of death. Therefore, it is best to be regularly assessed these markers during treatment of COVID-19 patients.