Tuberculous meningitis (TBM) is the most lethal form of Mycobacterium tuberculosis infection, which has a high rate of neurological complications and sequelae. Our study offers a real-world infectious disease clinic perspective, being thus representative for the clinical environment of developing countries. We performed a retrospective analysis of the 127 adult and 77 pediatric cases diagnosed with TBM in the Infectious Disease Hospital of the School of Medicine of Iasi, Romania between 2004–2013. Definite diagnosis of TBM was established in 31% of children but in only 20% of adults (p = 0.043). A contact with an individual with pulmonary tuberculosis was documented in 30% of children vs. 13% of adults (p = 0.0007). Coma occurred in 19% of patients (similar in children and adults); other consciousness abnormalities were seen in 27% of children and in 72% of adults (p = 0.000001). Cranial nerve palsies occurred prior to therapy in 9% of cases (12% vs 7% of children and adults, respectively, p>0.05), and developed 2–7 days after treatment initiation in 10% (12 vs 9%). CSF cultures were positive for M. tuberculosis in 24% of patients (31% vs. 20%, p>0.05). Overall mortality was 7.35%, similar for children and adults. Yet, permanent neurological sequelae, which were seen in 23% of patients occurred significantly more frequent in children vs. adults (36% vs. 14%, respectively, p = 0.0121). In conclusion, our retrospective analysis on a significant number of cases of TBM identified striking differences between children and adults: while children were in an earlier stage at the admission, they associated a higher frequency of neurological sequelae and miliary pattern, and they were more likely to have normal CSF protein levels and positive cultures of CSF.

IL-6 remains a key molecule of the cytokine storms characterizing COVID-19, exerting both proinflammatory and anti-inflammatory effects. Emerging research underscores the significance of IL-6 trans-signaling over classical signaling pathways, which has shifted the focus of therapeutic strategies. Additionally, the synergistic action of TNF-α and IFN-γ has been found to induce inflammatory cell death through PANoptosis, further amplifying the severity of cytokine storms. Long COVID-19 patients, as well as those with cytokine storms triggered by other conditions, exhibit distinct laboratory profiles, indicating the need for targeted approaches to diagnosis and management. Growing evidence also highlights the gut microbiota’s crucial role in modulating the immune response during COVID-19 by affecting cytokine production, adding further complexity to the disease’s immunological landscape. Targeted intervention strategies should focus on specific cytokine cutoffs, though accurate cytokine quantification remains a clinical challenge. Current treatment strategies are increasingly focused on inhibiting IL-6 trans-signaling, which offers promise for more precise therapeutic approaches to manage hyperinflammatory responses in COVID-19. In light of recent discoveries, this review summarizes key research findings on cytokine storms, particularly their role in COVID-19 and other inflammatory conditions. It explores emerging therapeutic strategies targeting cytokines like IL-6, TNF-α, and IFN-γ, while also addressing open questions, such as the need for better biomarkers to detect and manage cytokine storms. Additionally, the review highlights ongoing challenges in developing targeted treatments that mitigate hyperinflammation without compromising immune function, emphasizing the importance of continued research in this field.

The incidence of urinary tract infections (UTIs) caused by Klebsiella pneumoniae has exhibited an increasing trend and has become a high burden for many public health systems, especially in hospital settings. Multidrug resistance associated with the production of extended‑spectrum β‑lactamases (ESBL) among K. pneumoniae isolates is endemic in Southeastern Europe. We retrospectively analyzed 75 cases admitted to ‘St. Parascheva’ Clinical Hospital of Infectious Diseases in Iasi, Romania, during the first 6 months of 2019 (January 1 to June 30), who had a confirmed diagnosis of K. pneumoniae UTI at discharge. From a total of 75 patients, 34 (45.3%) presented ESBL⁺ K. pneumoniae. The mean age was 66 years (70.1 for the ESBL⁺ patients vs. 62.6 for the ESBL^‑ patients, P=0.0365). There was a symmetrical sex distribution (37 men vs. 38 women). Of these, 22 men had ESBL⁺ K. pneumoniae UTIs, compared to only 15 with an ESBL^‑ strain, P=0.0087. Another risk factor for ESBL⁺ K. pneumoniae UTIs was the presence of hospitalization in the past 6 months; 20 (58.82%) patients with ESBL⁺ infections were previously hospitalized, compared to only 5 (12.19%) patients with ESBL^‑ strains, P<0.0001. The urinary catheter carriers presented an increased prevalence of ESBL⁺ infections (15/34 vs. 5/41, P=0.0012). Regarding mortality, ESBL⁺ infections caused 6 fatalities, compared to only 1 death in the ESBL^‑ group, P=0.0166. ESBL⁺ K. pneumoniae strains represent an important cause of healthcare‑related UTIs, with a significantly higher mortality rate compared to ESBL^‑ strains. Early identification and adequate management of the risk factors incriminated in ESBL⁺ UTIs should be a priority for physicians in order to limit the dissemination of the ESBL‑producing strains and thus to improve the outcome of these patients.

(1) Background: There are limited clinical data in patients from the Eastern European regions hospitalized for a severe form of Coronavirus disease 2019 (COVID-19). This study aims to identify risk factors associated with intra-hospital mortality in patients with COVID-19 severe pneumonia admitted to a tertiary center in Iasi, Romania. (2) Methods: The study is of a unicentric retrospective observational type and includes 150 patients with severe COVID-19 pneumonia divided into two subgroups, survivors and non-survivors. Demographic and clinical parameters, as well as comorbidities, laboratory and imaging investigations upon admission, treatments, and evolution during hospitalization were recorded. First, we sought to identify the risk factors associated with intra-hospital mortality using logistic regression. Secondly, we assessed the correlations between D-Dimer and C-reactive protein and predictors of poor prognosis. (3) Results: The predictors of in-hospital mortality identified in the study are D-dimers >0.5 mg/L (p = 0.002), C-reactive protein >5 mg/L (p = 0.001), and heart rate above 100 beats per minute (p = 0.001). The biomarkers were also significantly correlated the need for mechanical ventilation, admission to intensive care unit, or multiple organ dysfunction syndrome. By area under the curve (AUC) analysis, we noticed that both D-Dimer (AUC 0.741) and C-reactive protein (AUC 0.707) exhibit adequate performance in predicting a poor prognosis in patients with severe viral infection. (4) Conclusions: COVID-19′s outcome is significantly influenced by several laboratory and clinical factors. As mortality induced by severe COVID-19 pneumonia is considerable, the identification of risk factors associated with negative outcome coupled with an early therapeutic approach are of paramount importance, as they may significantly improve the outcome and survival rates.

(1) Background: The evolution of bacterial resistance to antibiotics is one of the factors that make infectious pathology an extremely dynamic field, also inducing a significant burden on public health systems; therefore, continuous updates on the bacterial resistance to antibiotics and their particular regional patterns is crucial for the adequate approach of various infectious diseases. (2) Methods: We retrospectively analyzed 354 patients with Enterobacterales urinary tract infections (UTIs), determined their antibiotic resistance pattern, thus aiming to correlate them with the outcome and other specific markers of poor prognosis. (3) Results: The most frequent causative agent was Escherichia coli, representing 64.6% of all UTIs. We identified 154 patients resistant to multiple antibiotic classes, of which 126 were multidrug-resistant (MDR), 17 were extensive drug-resistant (XDR) and 11 were pandrug-resistant (PDR). Moreover, 25 isolates were resistant to carbapenems (CRE), 25 were difficult-to-treat (DTR), and 84 were extended-spectrum cephalosporin-resistant (ESC), with only 95 isolates susceptible to all tested antibiotics. Mortality ranged from 1% for UTIs caused by isolates susceptible to all tested antibiotics, to 24% for the ones caused by DTR or CRE isolates. Other significant risk factors associated with mortality were: prolonged hospital stay (p = 0.0001), Charlson comorbidity index ≥ 3 (p = 0.02), urinary catheterization (p = 0.001), associated respiratory pathologies (p = 0.004), obesity (p = 0.047), a history of previous hospitalizations (p = 0.007), inappropriate empiric antibiotic regimen (p = 0.001), or hyper inflammatory status (p = 0.006). Basically, we observed that a multiple regression model comprising urinary catheterization, inappropriate empiric anti-biotherapy, obesity, and respiratory comorbidities exhibits the best correlation with mortality rate in patients with UTI (R = 0.347, R² = 0.12). (4) Conclusions: By focusing on the novel resistance patterns, our study provides complementary evidence concerning the resistance profiles found in an Eastern European region, as well as their prognostic implications in patients with UTI.

The aim of this study was to analyze the serum concentration of interleukin-6 (IL-6), C-reactive protein (CRP), D-dimer, lactate dehydrogenase (LDH), ferritin, and procalcitonin in COVID-19 patients with different forms of the disease. We performed a prospective cohort study on 137 COVID-19 consecutive patients, divided into four groups according to the severity of the disease as follows: 30 patients in the mild form group, 49 in the moderate form group, 28 in the severe form group, and 30 in the critical form group. The tested parameters were correlated with COVID-19 severity. Significant differences were registered between the form of COVID-19 depending on the vaccination status, between LDH concentrations depending on the virus variant, and in IL-6, CRP, and ferritin concentrations and vaccination status depending on the gender. ROC analysis revealed that D-dimer best predicted COVID-19 severe forms and LDH predicted the virus variant. Our findings confirmed the interdependence relationships observed between inflammation markers in relation to the clinical severity of COVID-19, with all the tested biomarkers increasing in severe and critical COVID-19. IL-6, CRP, ferritin, LDH, and D-dimer were increased in all COVID-19 forms. These inflammatory markers were lower in Omicron-infected patients. The unvaccinated patients developed more severe forms compared to the vaccinated ones, and a higher proportion of them needed hospitalization. D-dimer could predict a severe form of COVID-19, while LDH could predict the virus variant.