Predictors of negative outcomes in hospitalized patients with SARS­CoV­2 pneumonia: A retrospective study.

The coronavirus disease 2019 (COVID-19) pandemic posed a serious threat to human health worldwide after the first case was identified in December 2019. Specific therapeutic options for COVID-19 are lacking; thus, the treatment of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is complex in clinical practice. Despite the development of treatment options and methods to limit the spread of SARS-CoV-2, certain patients experience critical illness and numerous deaths have occurred. Notably, treatment of this disease is complex due to the evolution of viral mutations and variants with different rates of infection. Moreover, specific patient characteristics may be associated with rapid disease progression and poor outcomes. Thus, the present study aimed to identify the specific characteristics of patients who developed poor outcomes, including clinical manifestations, blood samples (blood cell count and coagulation tests) at hospital admission and comorbidities. The present study included a total of 1,813 patients hospitalized with pneumonia and SARS-CoV-2 infection, and mortality rates associated with each patient characteristic were calculated. The characteristics associated with the highest risk of mortality were as follows: Age >90 years (OR, 105; 95% CI, 17.70-2,023.00); oxygen saturation at the time of hospital admission <89% in room air (OR, 14.3; 95% CI, 7.54-30.7), admission to the Intensive Care Unit (OR, 39.4; 95% CI, 27.7-57.0); and a neutrophil/lymphocyte ratio of 8.76-54.2 (OR, 14; 95% CI, 7.62-29.0). Treatment of patients with SARS-CoV-2 pneumonia represents a challenge for the healthcare system, but there are a number of predictors for poor patient outcomes that could be identified at the time of hospital admission.

Pathological Presence of Free Air in the Thorax: Pneumothorax and Pneumomediastinum as a Complication of COVID-19.

INTRODUCTION: The abnormal presence of free air in the thorax, pneumothorax, and pneumomediastinum are complications for critically ill patients suffering from coronavirus disease 2019 (COVID-19). The development of these events may lead to a poor prognosis and make the management of this category of patients more difficult. STUDY DESIGN: We performed an observational retrospective study, including patients with SARS-CoV-2 infection and pneumonia who were hospitalized, to analyze the cases that developed pneumothorax or pneumomediastinum as a complication. RESULTS: A total of 28 cases (1.51%) from 1844 patients with SARS-CoV-2 pneumonia developed pneumothorax or pneumomediastinum during hospitalization. Of them, 21 (75%) needed intensive care unit admission and ventilation, and 10 (35.71) were cured. CONCLUSION: The male gender is more probable to be involved in the development of pneumothorax or pneumomediastinum in patients with SARS-CoV-2 pneumonia. The incidence of these events is low, and conservative treatment could provide a better outcome.

Complications During Hospitalization in Patients With SARS-CoV-2 Pneumonia in a Romanian Pulmonary Center.

Introduction The coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Facing a new and unknown virus, the entire medical community made considerable efforts to find a specific treatment, develop guidelines, and even create a vaccine. Besides all the measures taken, a wide range of complications associated with the disease increased the mortality and morbidity rates, adding more difficulty to the management of the patients. Study design We performed a retrospective study, including the patients with SARS-CoV-2 pneumonia who were admitted to our hospital between March 2020 and August 2021. We analyzed complications that developed during the hospitalization, such as respiratory failure or acute injury to other organs (the heart, pancreas, kidneys, and liver), and whether they were treatment- and hospitalization-related. Results One thousand eight hundred and forty-four cases were evaluated, and we analyzed the complications that developed during the hospitalization. Out of this, 1392 (75.48%) cases developed at least one complication during hospitalization, most frequently respiratory failure (71.14%), hyperglycemia (43.54%), renal injury (42.67%), or cardiovascular events (7.10%). Conclusion SARS-CoV-2 infection in hospitalized patients with pneumonia can cause injuries to any organ, making the management of those patients even more difficult.

Clinical challenges of SARS-CoV-2 variants (Review).

Since the first cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, there have been challenges recognizing the clinical features of SARS-CoV-2 and identifying therapeutic options. This has been compounded by viral mutations that affect clinical response and primary epidemiological indicators. Multiple variants of SARS-CoV-2 have been identified and classified on the basis of nomenclature implemented by scientific organizations and the World Health Organisation (WHO). A total of five variants of concern (VOCs) have been identified to date. The present study aimed to analyse clinical and epidemiological features of each variant. Based on these characteristics, predictions were made about potential future evolution. Considering the time and location of SARS-CoV-2 VOC emergence, it was hypothesised that mutations were not due to pressure caused by the vaccines introduced in December 2020 but were dependent on natural characteristics of the virus. In the process of adapting to the human body, SARS-CoV-2 is expected to undergo evolution to become more contagious but less deadly. SARS-CoV-2 was hypothesized to continue spread through isolated epidemic outbreaks due to the unimmunized population, mostly unvaccinated children and adults, and for coronaviruses to continue to present a public health problem.

The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis.

The TB Portals program is an international consortium of physicians, radiologists, and microbiologists from countries with a heavy burden of drug-resistant tuberculosis working with data scientists and information technology professionals. Together, we have built the TB Portals, a repository of socioeconomic/geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis backed by shareable, physical samples. Currently, there are 1,299 total cases from five country sites (Azerbaijan, Belarus, Moldova, Georgia, and Romania), 976 (75.1%) of which are multidrug or extensively drug resistant and 38.2%, 51.9%, and 36.3% of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. The top Mycobacterium tuberculosis lineages represented among collected samples are Beijing, T1, and H3, and single nucleotide polymorphisms (SNPs) that confer resistance to isoniazid, rifampin, ofloxacin, and moxifloxacin occur the most frequently. These data and samples have promoted drug discovery efforts and research into genomics and quantitative image analysis to improve diagnostics while also serving as a valuable resource for researchers and clinical providers. The TB Portals database and associated projects are continually growing, and we invite new partners and collaborations to our initiative. The TB Portals data and their associated analytical and statistical tools are freely available at https://tbportals.niaid.nih.gov/.

[Metabolic profile in obese patients with obstructive sleep apnea. A comparison between patients with insulin resistance and with insulin sensitivity]. / Profilul metabolic al pacientilor cu sindrom de apnee obstructiva în somn si obezitate. Comparatie între pacienti cu insulinorezistenta si pacienti cu insulinosensibilitate.

BACKGROUND: Obstructive sleep apnea syndrome (OSAS) may induce metabolic abnormalities through intermittent hypoxemia and simpathetic activation. It is difficult to demonstrate an independent role of OSAS in the occurrence of metabolic abnormalities, as obesity represents an important risk factor for both OSAS and metabolic abnormalities. AIM: to assess the relations between insulin resistance (IR), insulin sensitivity (IS), OSAS severity and nocturnal oxyhaemoglobin levels in obese, nondiabetic patients with daytime sleepiness. MATERIAL AND METHODS: We evaluated 99 consecutive, obese, nondiabetic patients (fasting glycemia < 126 mg/dL, no hypoglycemic or hypolipemiant medication) diagnosed with OSAS (AHI > 5/hour and daytime sleepiness) by an ambulatory six channel cardio-respiratory polygraphy. Hight, weight serum triglycerides (TG), high density lipoprotein-cholesterol (HDL-C) levels were evaluated. Correlations between Apneea Hypopnea Index (AHI), Oxygen Desaturation Index (ODI), average and lowest oxyhaemoglobin saturation (SaO), body mass index (BMI) and insulin resistance or sensitivity were assesed. IR was defined as a TG/ HDL-Cratio > 3, and insulin sensitivity (IS) as a TG/HDL-C ratio < 2. RESULTS: 64 patients (out of 99) had lR and 18 IS. In the IR group (44 men and 20 women), the mean age was 52 +/- 10.6 years, mean BMI: 38.54 +/- 6.67 Kg/m2 (30-60), TG/HDL-C:5, 27 +/- 2.03 (3.02-11.1), mean AHI: 49.65 +/- 25.55/hour (7-110), mean ODI: 4769 +/- 24.95/hour (4-98), mean average SaO2 89.42 +/- 4.6 and mean lowest SaO2 68.4% +/- 13.8% (32-88%). 48 patients had severe, 7 moderate and 9 mild OSAS. In the IS group (10 men and 8 women), the mean age was 58.4 +/- 8.2years, mean BMI: 35.4 +/- 4.29 Kg/m2 (30-46), TG/ HDL-C: 1.64 +/- 0.29 (1.13-1.95), mean AHI: 45.8 +/- 30.3/hour (9-131), mean ODI: 39.9 +/- 32.2/hour (2-133), mean average SaO2 90.8 +/- 8.2 (81-95) and mean lowest SaO2: 74% +/- 10.8% (52-87%). 12 patients had severe, 3 moderate and 3 mild OSAS. Insulin sensitivity positively correlated with mean average SaO2 (r: 0.49; p: 0.037) and negatively with ODI (r: - 0,56; p: 0.014). Insulin resistance negatively correlated with mean lowest SaO2 (r: -0,25; p: 0.045). Mean lowest SaO2 values were significant lower in patients with IR than in those with IS (p: 0.042). No statistically significant difference was found for BMI, AHI or ODI between IR and IS patients. CONCLUSIONS: nocturnal oxyhaemoglobin levels rather than OSAS severity (expressed as AHI or ODI) may be involved in the occurrence of metabolic abnormalities in obese nondiabetic patients. Preserving insulin sensitivity is more likely when oxyhaemoglobin levels are higher and ODI is lower. Mean lowest nocturnal SaO2 levels seems to be independently involved in the development of insulin resistance as no statistically significant differences were found for BMI between the two groups.

New Echocardiographic Tehniques in Pulmonary Arterial Hypertension vs. Right Heart Catheterization - A Pilot Study.

BACKGROUND: Pulmonary arterial hypertension (PAH) represents an emerging pathology in modern medicine. Transthoracic echocardiography is an inexpensive and reproducible method and it is the most commonly used non-invasive diagnostic tool to asses pulmonary artery pressure (PAP) and the function of the right ventricle. Although, the right heart catheterization is still considered as the standard for the diagnosis, according to the last guidelines, the new echocardiographic methods may offer an improved value in the PAH evaluation. AIM: To evaluate if cardiac ultrasonography data correlate with catheterization results in patients with PAH (Group I Dana Point 2008), and to compare the ultrasonography evaluation of PAH patients with that of normal. METHODS: 15 consecutive patients (pts) (52±15 yrs, 5 men, time from onset of symptoms 1.6±1.7 years) with PAH of different aetiologies (12 pts with idiopathic PAH, 2 pts with PAH associated with scleroderma and one with persistent PAH after atrial septal defect (ASD) closure) were evaluated through: 1. clinical examination (NYHA class); 2. exercise capacity (6 minute walking test - 6MWT); 3. conventional echocardiography (diameter of right ventricle - RVD and right atrium, fractional area shortening - FAS, TAPSE, pulmonary ascension time - PA, systolic and mean PAP -sPAP, mPAP, tricuspid E/A ratio, cardiac index-CI) and 4. Tissue Doppler Imaging - TDI (systolic and diastolic myocardial velocities at the tricuspid annulus - S, D, A); 5. right heart catheterization (sPAP, mPAP, CI, pulmonary vascular resistance - PVR)We compared classical and TDI echo parameters with those obtained from 15 normal subjects, matched in age and sex. RESULTS: PAH patients had high sPAP and mPAP with right heart dilation (RV - 44.8±7.3 mm), depressed TAPSE (16.2±5.9 mm) and cardiac index and low TDI systolic velocities at tricuspid level (7.3±2.9 cm/s). All parameters differed statistically significant from normal. There were no significant correlations between ultrasonography and catheterization (cath) parameters (sPAP 92±28.2 echo vs. 106.4±25.8 mmHg cath; mPAP 47.9±8.4 echo vs. 65.8±17.3 mmHg cath), excepting for CI 2.3±1.2 l/min/m(2) vs. 2.08±0.3 ml/min/m(2)) and PVR (16.5 ± 15.3 Wood U echo, vs. 19.6 ± 7.9 cath). CONCLUSION: Classic and TDI cardiac ultrasonography represents a good screening and monitoring tool for PAH patients, but tends to underestimate the severity of the disease, leaving right heart catheterization as the essential diagnostic method for this rare disease.

The role of overnight pulse-oximetry in recognition of obstructive sleep apnea syndrome in morbidly obese and non obese patients.

MATERIAL AND METHODS: We prospectively evaluated 199 individuals with high pre-test clinical suspicion of OSAS. Of these, 123 patients were morbidly obese (Group A) and 76 were non-obese (Group B). We performed six channel cardio-respiratory polygraphy and assessed the correlation between the Desaturation Index (DI) and the Apnea Hypopnea Index (AHI) for both groups. RESULTS: In group A: 116 patients (94.3%) were diagnosed with OSAS (AHI>5/hour); mean age: 59.4±10.9 years; mean BMI: 44.8±4.9 kg/m(2). The mean DI was 47.2±27.6/hour and the mean AHI: 46.5±27.6/hour. Mean average SaO2 was 88.5±6.3 %. In group B, 65 patients (85.52%) were diagnosed with SAS; mean age: 51.2 ± 12.7 years; mean BMI: 27.24±2.2 kg/m(2).The mean DI was 23.12 ± 18.35/hour and the mean AHI: 28.8 ± 18.5/hour. Mean average SaO2 was 93.7±2.07 %.A significant positive correlation (correlation index rA = 0.863 and rB= 0.877) was found between DI and AHI in both groups (p<0.001). CONCLUSION: Assessment of the Desaturation Index by nocturnal pulse-oximetry maintains its utility as a screening method for OSAS in both obese and non-obese patients with high clinical pre-test suspicion, despite the fact that the basal nocturnal saturation was found to be lower in group A.

Comparative analysis of Staphylococcus aureus and Escherichia coli microcalorimetric growth.

BACKGROUND: Microcalorimetric bacterial growth studies have illustrated that thermograms differ significantly with both culture media and strain. The present contribution examines the possibility of discriminating between certain bacterial strains by microcalorimetry and the qualitative and quantitative contribution of the sample volume to the observed thermograms. Growth patterns of samples of Staphylococcus aureus (ATCC 25923) and Escherichia coli (ATCC 25922) were analyzed. Certain features of the thermograms that may serve to distinguish between these bacterial strains were identified. RESULTS: The thermograms of the two bacterial strains with sample volumes ranging from 0.3 to 0.7 ml and same initial bacterial concentration were analyzed. Both strains exhibit a roughly 2-peak shape that differs by peak amplitude and position along the time scale. Seven parameters corresponding to the thermogram key points related to time and heat flow values were proposed and statistically analyzed. The most relevant parameters appear to be the time to reach a heat flow of 0.05 mW (1.67 ± 0.46 h in E. coli vs. 2.99 ± 0.53 h in S. aureus, p < 0.0001), the time to reach the first peak (3.84 ± 0.5 h vs. 5.17 ± 0.49 h, p < 0.0001) and the first peak value (0.19 ± 0.02 mW vs. 0.086 ± 0.012 mW, p < 0.0001). The statistical analysis on 4 parameters of volume-normalized heat flow thermograms showed that the time to reach a volume-normalized heat flow of 0.1 mW/ml (1.75 ± 0.37 h in E. coli vs. 2.87 ± 0.65 h in S. aureus, p < 0.005), the time to reach the first volume-normalized peak (3.78 ± 0.47 h vs. 5.12 ± 0.52 h, p < 0.0001) and the first volume-normalized peak value (0.35 ± 0.05 mW/ml vs. 0.181 ± 0.040 mW/ml, p < 0.0001) seem to be the most relevant. Peakfit® decomposition and analysis of the observed thermograms complements the statistical analysis via quantitative arguments, indicating that: (1) the first peak pertains to a faster, "dissolved oxygen" bacterial growth (where the dissolved oxygen in the initial suspension acts as a limiting factor); (2) the second peak indicates a slower "diffused oxygen" growth that involves transport of oxygen contained in the unfilled part of the microcalorimetric cell; (3) a strictly fermentative growth component may slightly contribute to the observed complex thermal signal. CONCLUSION: The investigated strains of Staphylococcus aureus and Escherichia coli display, under similar experimental conditions, distinct thermal growth patterns. The two strains can be easily differentiated using a selection of the proposed parameters. The presented Peakfit analysis of the complex thermal signal provides the necessary means for establishing the optimal growth conditions of various bacterial strains. These conditions are needed for the standardization of the isothermal microcalorimetry method in view of its further use in qualitative and quantitative estimation of bacterial growth.

[Microcalorimetry -- a new method for bacterial characterisation]. / Microcalorimetria -- metoda noua de caracterizare bacteriana.

The microcalorimetry is a method used for recording of the heat produced by a thermodinamic system in a scale of micronanojouls. One of the domains in which this method is used is the one called bacterial microcalorimetry, which studies the heat generated by the bacterial populations. The process of bacterial growth can be monitored in real time by the recording a graph of the generated power over time. The modern isothermal microcalorimeters allow the detection of a signal variation of only one microwatt. The estimated generated power of a bacteria is approximately 1-4pW thus only a small number of bacteria is necessary for the experiments. Recent studies in the field of bacterial microcalorimetry have demonstrated that, in standard conditions, this method can be reproductible and can be used to detect and characterize bacterial growth (through the study of the microcalorimetric growth curve particular to a bacterial species which is called a microcalorimetric fingerprint) and offers the new information in regards to bacterial metabolism. Also, microcalorimetry can offer information about bacterial interaction with different factors in the medium (for example, antibioticsubstances, in which case an antibiogram is obtained in 4-5 hours). In conclusion, we can say that microcalorimetry is a reproducible method, which offers an interesting perspective on bacterial characterization, with great scientific potential, and there are sufficient arguments to continue studies in this field.

MicroDSC study of Staphylococcus epidermidis growth.

BACKGROUND: A microcalorimetric study was carried out using a Staphylococcus epidermidis population to determine the reproducibility of bacterial growth and the variability of the results within certain experimental parameters (temperature, bacterial concentration, sample thermal history). Reproducibility tests were performed as series of experiments within the same conditions using either freshly prepared populations or samples kept in cold storage. In both cases, the samples were obtained by serial dilution from a concentrated TSB bacterial inoculum incubated overnight. RESULTS: The results show that experiments are fairly reproducible and that specimens can be preserved at low temperatures (1 - 2°C) at least 4 days. The thermal signal variations at different temperatures and initial bacterial concentrations obey a set of rules that we identified. CONCLUSION: Our study adds to the accumulating data and confirms available results of isothermal microcalorimetry applications in microbiology and can be used to standardize this method for either research or clinical setting.