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1.
Caspian J Intern Med ; 15(3): 509-518, 2024.
Article in English | MEDLINE | ID: mdl-39011447

ABSTRACT

Background: Having a weakened immune system can make patients easily get nosocomial infection (NI) with multi-drug resistant (MDR) bacteria and put them in a dangerous situation. It causes long hospital stays, disability, economic burden, and even death. The present study aimed to determine the prevalence of NI in patients suffering from COVID-19. Methods: In this retrospective study, the information on 250 patients suffering from COVID-19 in the intensive care unit (ICU) (2020 to 2021) was considered. For statistical analysis, analysis of variance (ANOVA), paired samples t-test, and chi-square using SPSS-23 software were used (p<0.05). Results: Two hundred and fifty hospitalized (107 females and 143 males, mean ± standard deviation (SD) of age; 56.50 ± 17.20) patients were considered. The most (97.60%) medicine prescribed was remdesivir. Candida spp. (two females), Escherichia coli (two females), Acinetobacter spp. (one female), Citrobacter spp. (one female), Pseudomonas spp. (one male), Sphingomonas spp. (one male), Stenotrophomonas spp. (one male) and Enterobacter spp. (one male) were isolated from the patient's specimens. Four of seven bacterial isolates were positive for MDR. NI was diagnosed in six patients. There was no significant relationship between the age with the isolated microbes (P=0.154) and MDR (P=0.987) and also between gender with common microbes (P=0.576) and MDR (P=0.143). Conclusion: The coexistence of bacteria and NI was observed in patients. Remdesivir was prescribed for most patients. Most bacteria were resistant to antibiotics, especially, ß-lactams.

2.
BMC Infect Dis ; 24(1): 55, 2024 Jan 06.
Article in English | MEDLINE | ID: mdl-38184533

ABSTRACT

BACKGROUND: The aim of the present study was to compare the epidemiological patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infections, hospitalizations, deaths, and duration of hospitalization during the fourth, fifth and sixth epidemic waves of coronavirus disease 2019 (COVID-19) in Iran. METHODS: A multicenter retrospective observational study was conducted on hospitalized patients in four hospitals in the Babol district of northern Iran. The study periods were during the fourth, fifth, and sixth waves of the epidemic in Iran, (March 2021 to March 2022). A total of 13,312 patients with suspected COVID-19 were included. Patient demographics, medical history, length of hospital stay, and clinical outcomes were obtained from the hospital information system. Data on the cycle threshold (Ct) and SARS-CoV2 variant were collected for SARS-CoV2-positive cases. RESULTS: The highest number of hospitalized patients was reported during the fifth (Delta) wave (5231; 39.3%), while the lowest number of hospitalized patients was reported during the sixth (Omicron) wave (2143; 16.1%). In total, 6459 (48.5%) out of 13,312 hospitalized patients with suspected COVID-19 had a positive rRT-PCR result. The fifth (Delta) wave had the highest number of SARS-CoV2 rRT-PCR-positive hospitalized patients (3573, 55.3%), while the sixth (Omicron) wave had the lowest number (835, 12.9%). Moreover, 238 (3.7%) patients with laboratory-confirmed COVID-19 died. The hospital mortality rate was 6.8% in the fourth (Alpha) wave, which reduced to 2.7 and 3.5% in the fifth (Delta) and sixth (Omicron) waves, respectively (p < 0.001). CONCLUSIONS: This is the most comprehensive study evaluating the epidemiologic characteristics of laboratory-confirmed SARS-CoV2 cases in Iran during the Alpha, Delta, and Omicron waves. The highest number of SARS-CoV2-positive hospitalized patients was in the fifth wave of COVID-19 (dominance of the Delta variant), while the sixth wave (dominance of the Omicron variant) had the lowest number. Comorbidities were similar, and cardiovascular disease, diabetes, kidney disease, and hypertension were the main risk factors in all waves.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , RNA, Viral , COVID-19/epidemiology , Hospitalization , Hospitals
3.
Iran J Allergy Asthma Immunol ; 21(1): 20-26, 2022 Feb 06.
Article in English | MEDLINE | ID: mdl-35524374

ABSTRACT

Interleukin (IL)-35 and IL-37 are two anti-inflammatory cytokines. IL-35 inhibits the development of T-effector cells such as Th1, and Th17; while increasing regulatory T cells (Tregs). IL-37 causes the suppression of inflammatory cytokines. Regarding the positive impact of Helicobacter pylori (H. pylori) infection on inflammation and considering the anti-inflammatory effects of IL-35 and IL-37, this study aimed to evaluate the expression of these two cytokines in H. pylori-infected patients with gastrointestinal problems. The case group consisted of H. pylori-infected individuals with gastric ulcer and/or gastritis (n=50) and the control group consisted of cases with gastric ulcer and/or gastritis non-H. pylori-infected (n=50). Sampling and classification of patients were based on pathology findings. A real-time polymerase chain reaction was performed for evaluating the IL-35 and IL-37 expression levels. pylori-infected gastritis patients showed lower expression of IL-35 and IL-37 than the non-infected group. There was a significant difference between the expression levels of IL-35 and IL-37 in patients with gastric ulcers and/or gastritis who were infected and non-infected by H. pylori. There were no significant differences in the expression level of IL-35 and IL-37 in H. pylori-infected patients with gastric ulcer or gastritis. Interleukins 37 and 35 were less expressed in patients with H. pylori-infection. In differentiation between patients with gastrointestinal symptoms who have H. pylori infection or with similar symptoms who do not have H. pylori-infection, mentioned interleukins can be used as diagnostic markers.


Subject(s)
Gastritis , Helicobacter Infections , MicroRNAs , Stomach Ulcer , Cytokines/metabolism , Gastric Mucosa/pathology , Gastritis/microbiology , Gastritis/pathology , Helicobacter Infections/metabolism , Helicobacter pylori , Humans , Interleukin-1 , Interleukins/metabolism , MicroRNAs/genetics , Stomach Ulcer/metabolism , Stomach Ulcer/microbiology
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