Background. In December, 2019, China, has experienced an outbreak of novel coronavirus disease 2019 . 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, ShahidBeheshti 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.

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.

Background We aimed to prospectively assess the lung fibrotic-like changes, as well as to explore their predictive factors, in the patients who survived Coronavirus Disease 2019 (COVID-19) infection. In this prospective cross-sectional study, we recruited patients who had been treated for moderate or severe COVID-19 pneumonia as inpatients and discharged from Rohani hospital in Babol, northern Iran, during March 2020. The clinical severity of COVID-19 pneumonia was classified as per the definition by World Health Organization. We also calculated the CT severity score (CSS) for all patients at admission. Within the 3 months of follow-up, the next chest CT scan was performed. As the secondary outcome, the patients with fibrotic abnormalities in their second CT scan were followed up in the next 3 months. Results Totally, 173 COVID-19 patients were finally included in the study, of whom 57 (32.9%) were male and others were female. The mean age was 53.62 ± 13.67 years old. At 3-month CT follow-up, evidence of pulmonary fibrosis was observed in 90 patients (52.0%). Consolidation (odds ratio [OR] = 2.84), severe disease (OR 2.40), and a higher CSS (OR 1.10) at admission were associated with increased risk of fibrotic abnormalities found at 3-month CT follow-up. Of 62 patients who underwent chest CT scan again at 6 months of follow-up, 41 patients (66.1%) showed no considerable changes in the fibrotic findings, while the rest of 21 patients (33.9%) showed relatively diminished lung fibrosis. Conclusion Post-COVID-19 lung fibrosis was observed in about half of the survivors. Also, patients with severe COVID-19 pneumonia were at a higher risk of pulmonary fibrosis. Moreover, consolidation, as well as a higher CSS, in the initial chest CT scan, was associated with increased risk of post-COVID-19 lung fibrosis. In addition, some patients experienced diminished fibrotic abnormalities in their chest CT on 6-month follow-up, while some others did not.

Introduction: Duration of treatment for brucellar spondylitis in endemic regions is controversial. This study describes the outcome of treatment in 50 cases of brucellar spondylitis in Iran. Methodology: From April 2001 to September 2010, we treated 20, 13, 11 and 6 cases with doxycycline plus rifampin (DR), streptomycin plus doxycycline plus rifampin (SDR), cotrimoxazole plus doxycycline plus rifampin (CDR), and gentamicin plus doxycycline plus rifampin (GDR), respectively. Gentamicin and streptomycin were administered for 14 days and the other agents for 3 months. When complete clinical response was not achieved, therapy was continued. All patients were followed for one year. The Kaplan Meier method and the log rank test were used to compare the duration of therapy between SDR plus GDR patients with those treated with CDR or DR. Results: Eight (45%), 10 (76.9%), 7 (63.3%) and 6 (100%) cases treated for three months were cured with DR, SDR, CDR and GDR, respectively. Nine (45%), 4 (36.4%) and two (22.2%) were cured after four months with DR, CDR and SDR, respectively. Mean duration of therapy in the SDR plus GDR, CDR and DR was 3.26±0.17, 3.36±0.15 and 3.9±0.23 months, respectively (p=0.49 and p=0.015, respectively). Three cases with epidural or paravertebral abscesses recovered after six months. Relapse occurred in one (9.1%) and two (10%) cases treated with CDR and DR, respectively. Conclusions: Brucellar spondylitis could be treated using different combinations of antimicrobials especially with a regimen containing aminoglycoside for four months; patients with epidural or paravertebral abscesses require longer treatment times.

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Background We aimed to investigate the association of initial chest CT scan findings with status and adverse outcomes of COVID-19 (including ICU admission, mortality, and disease severity). This retrospective cohort study was performed in three hospitals in Babol, northern Iran, between February and March 2020. Cases were confirmed by real-time polymerase chain reaction (RT-PCR). Clinical and paraclinical data of the patients were collected from their medical records. CT severity score (CSS) was calculated by a senior radiologist. Disease severity was determined based on the World Health Organization criteria. Results In total, 742 patients were included, of whom 451 (60.8%) were males and 291 (39.2%) were females. The mean age was 56.59 ± 14.88 years old. Also, 523 (70.5%) were RT-PCR-positive. Ground glass opacity was directly associated with RT-PCR positivity (odds ratio [OR] = 2.07). Also, RT-PCR-positive cases had significantly a higher CSS than RT-PCR-negative cases (p = 0.037). In patients confirmed with COVID-19, peribronchovascular distribution of lesions, number of zones involved, and CSS were associated with increased risk of ICU admission (OR = 2.93, OR = 2.10, and OR = 1.14, respectively), mortality (OR = 2.30, OR = 1.35, and OR=1.08, respectively), severe disease (OR = 2.06, OR = 1.68, and OR = 1.10, respectively), and critical disease (OR = 4.62, OR = 3.21, and OR = 1.23, respectively). Also, patients who had consolidation were at a higher risk of severe disease compared with those who did not (OR = 4.94). Conclusion Initial chest CT scan can predict COVID-19 positivity, ICU admission, mortality, and disease severity, specifically through CSS.

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