Search Results (82)

Objectives: We aim to investigate the relationship between body weight and the risk of cardiovascular events in heart failure patients with diabetes. Methods: We therefore conducted a retrospective analysis of HF patients with T2D using the Nationwide Readmissions Database (NRD) from 2016 to 2022. Patients were stratified by BMI classes: underweight, normal weight, overweight, and obesity classes I–III. The primary outcome was in-hospital mortality. Secondary outcomes included 1-year mortality and readmission for heart failure. Results: A total of 26,199 patients with BMI data were included in the analysis. Underweight patients had the highest risk of in-hospital mortality [aOR = 1.80 (95% CI: 1.16–2.80)] and cardiogenic shock [aOR = 2.13 (95% CI: 1.26–3.59)]. In contrast, obesity classes I–III were associated with significantly lower odds of those events. One-year mortality rates did not differ significantly across BMI groups. However, obesity classes II and III were associated with a lower adjusted risk of HF readmission [aHR = 0.71 (95% CI: 0.50–0.99); aHR = 0.68 (95% CI: 0.49–0.96), respectively]. Conclusions: In patients with T2D and HF, an obesity paradox exists whereby patients with obesity have a lower risk of in-hospital mortality and cardiogenic shock. Further, obesity classes II-III are associated with a lower risk of 1-year readmission for HF. Full article

Background: The “weekend effect” describes the concern that patients treated on weekends experience worse outcomes due to differences in staffing, resource availability, and workflow. Evidence for a weekend effect in elective orthopedic surgery is limited and inconsistent, and most prior work does not ensure that surgery itself actually occurs on the weekend. We aimed to evaluate whether weekend admission and surgery are associated with worse in-hospital or 90-day outcomes in a contemporary nationwide cohort of elective primary total knee arthroplasty performed on hospital day 0. Methods: We conducted a retrospective cohort study using the U.S. Nationwide Readmissions Database (NRD) from 2020 to 2022. Adult patients (≥18 years) undergoing elective primary TKA with surgery on hospital day 0 were identified using ICD-10-PCS procedure codes in the primary procedure position. Weekend admissions (Saturday–Sunday) were compared with weekday admissions (Monday–Friday). Baseline demographics, comorbidities, and hospital characteristics were assessed. Outcomes included length of stay, total hospital charges, in-hospital mortality, major postoperative complications, and 90-day all-cause readmissions, time to readmission, readmission length of stay, and procedures during readmission. Continuous variables were compared using t-tests and categorical variables using chi-square or Fisher’s exact tests (two-sided α = 0.05). Results: Among 437,121 elective day-0 TKA admissions, 435,822 (99.7%) occurred on weekdays and 1299 (0.3%) on weekends. Baseline characteristics were highly similar between groups. No clinically meaningful differences were observed in in-hospital complications, mortality, or 90-day readmission outcomes. Small statistical differences in blood transfusion, blood-loss anemia, and postoperative pain did not follow a pattern consistent with a weekend effect. Conclusions: In this large contemporary national cohort of elective primary TKA with surgery on hospital day 0, weekend admission and surgery were not associated with worse in-hospital outcomes or higher 90-day readmission rates. Within standardized perioperative pathways, elective TKA appears safe when performed on weekends, without evidence of a weekend effect. Full article

Objectives: Current guidelines for pulmonary surfactant (PS) administration in preterm infants with respiratory distress rely on clinical signs and FiO₂ thresholds. Lung ultrasound offers a promising alternative for accurately diagnosing neonatal respiratory distress syndrome (NRDS) and assessing its severity. This randomized controlled trial aimed to evaluate whether a lung ultrasound-guided strategy for NRDS diagnosis and lung ultrasound scores (LUS)-guided PS administration could improve respiratory outcomes in preterm infants (<32 weeks’ gestation), compared to conventional methods. Methods: In this non-blinded randomized controlled trial, 89 preterm infants (≤32 weeks’ gestation) with respiratory distress after birth were enrolled. Participants were randomly assigned to either the ultrasound group (PS administration based on ultrasound-confirmed NRDS and LUS criteria) or the control group (PS administration according to standard clinical signs and FiO₂ requirements). Results: The ultrasound group demonstrated a significantly lower rate of invasive mechanical ventilation (p = 0.007) and a shorter duration of ventilation (p = 0.005) compared to the control group. Furthermore, the ultrasound group required less PS (p = 0.03), received their first dose at an earlier time (p = 0.017), and experienced fewer radiation exposures both before surfactant treatment and within the first week after birth (p = 0.023 and p = 0.019, respectively). Conclusions: The integration of lung ultrasound for NRDS diagnosis and LUS-guided surfactant therapy facilitates more precise and timely PS use. This strategy reduces the need for and duration of invasive mechanical ventilation and limits early radiation exposure in very preterm infants. Full article

Objectives: This study aimed to evaluate how non-invasive ventilation (NIV) and high-flow nasal cannula therapy (HFT) versus conventional oxygen therapy (COT) affect neural ventilatory drive during exercise in patients with severe chronic obstructive pulmonary disease (COPD). Methods: We conducted an experimental, controlled study with one arm and three different conditions for the same cohort. After initial testing on conventional oxygen therapy (COT), patients exercised under NIV and HFT in sequential days and a random order. Participants: Twenty patients (mean age 60 years old (SD 3.9), 6 female) with severe COPD (30% women) on home NIV as a bridge to lung transplantation were enrolled in this study, with a mean FEV₁ of 19.78% predicted and marked hyperinflation. Protocol: Participants performed constant-load cycling exercises at 75% maximum tolerated workload under three conditions: COT, NIV, and HFT. Neuro-respiratory drive (NRD) was measured using surface parasternal and sternocleidomastoid electromyography, and mixed ANOVA was performed to analyze repeated measures across conditions. Results: In total, 20 patients were included in this study. NIV demonstrated superior performance, with 60% lower NRD compared to COT (488.81 µV vs. 1180.63 µV, p < 0.05). HFT showed intermediate effects (807.8 µV). NIV also achieved greater reduction in respiratory rate (4.2 breaths/min), lower perceived exertion (Borg score decrease: 1.8 points), and more pronounced CO₂ reduction (5.3 mmHg) compared to both COT and HFT. Conclusions: NIV significantly reduces NRD during exercise in severe COPD patients compared to HFT and COT. This supports its use as a valuable adjunct to pulmonary rehabilitation in severe COPD. Full article

Background/Objective: Diabetes mellitus (DM) is a highly prevalent condition that contributes to adverse outcomes in patients undergoing total hip arthroplasty (THA). This study applied machine learning clustering algorithms to identify comorbidity profiles among diabetic THA patients and evaluate their association with postoperative outcomes. Methods: The 2015–2021 National Inpatient Sample was queried using ICD-10 CM/PCS codes to identify DM patients undergoing THA. Forty-nine comorbidities, complications, and clinical covariates were incorporated into clustering analysis. The Davies–Bouldin and Calinski–Harabasz indices determined the optimal number of clusters. Multivariate logistic regression assessed risk of non-routine discharge (NRD), and Kruskal–Wallis H testing evaluated length-of-stay (LOS) differences. Results: A total of 73,606 patients were included. Six clusters were identified, ranging from 107 to 61,505 patients. Cluster 6, enriched for urinary tract infection and sepsis, had the highest risk of NRD (OR 7.83, p < 0.001) and the longest median LOS (9.0 days). Clusters 1–4 had shorter recoveries with median LOS of 2.0 days and narrow variability, while Cluster 5 showed intermediate outcomes. Kruskal–Wallis and post hoc testing confirmed significant differences across clusters (p < 0.001). Conclusions: Machine learning clustering of diabetic THA patients revealed six distinct groups with varied comorbidity profiles. Infection-driven clusters carried the highest risk for non-routine discharge and prolonged hospitalization. This approach provides a novel framework for risk stratification and may inform targeted perioperative management strategies. Full article

Background/Objectives: Neonatal respiratory distress syndrome (NRDS) is a heterogenous respiratory illness that mainly affects preterm neonates. It is characterized by insufficient production of pulmonary surfactant and impaired lung compliance. The lysophosphatidylcholine acyltransferase 1 (LPCAT1) enzyme has a crucial function in lipid remodeling through the conversion of lysophosphatidylcholine to phosphatidylcholine, the major component of pulmonary surfactant. In this research, we aimed to investigate the association of the LPCAT1*rs9728 variant with NRDS susceptibility using hereditary analysis and bioinformatic approaches. Methods: The LPCAT1 (rs9728; c.*1668T>C) variant was characterized among 100 preterm neonates with RDS and 100 non-RDS neonates utilizing the TaqMan SNP genotyping assay. Logistic regression analysis was performed to identify the risk factors of respiratory distress syndrome. The functional mechanism of the LPCAT1 gene was elucidated using bioinformatic approaches. Results: The LPCAT1*rs9728 C/C genotype was significantly associated with a 78% reduced risk of NRDS (OR = 0.22, p = 0.027), although the minor C allele did not attain a significant finding (OR = 0.83, p = 0.416). Apgar score and Silverman–Andersen respiratory severity score (RSS) were statistically significant with prematurity classes (p < 0.05). Additionally, gestational age and birth weight were considered independent risk factors in the progression of RDS among preterm neonates. Conclusions: This research exhibited a significant difference between the LPCAT1 (rs9728; c.*1668T>C) variant and reduced risk against the development of RDS among preterm neonates. The rs9728*C/C genotype revealed a significant association with decreased risk of NRDS compared to non-RDS neonates. Full article

Background: Previous studies have demonstrated the beneficial effects of Ligilactobacillus salivarius A3iob on honeybee (Apis mellifera) colonies’ health and honey production. The present work aimed to assess the genomic characteristics of the A3iob strain to understand its ability to improve bees’ health. Methods: The comparative genomic analysis was performed with the A3iob genome and the genomes of probiotic L. salivarius strains of human, porcine, and chicken origin, as well as bacteria isolated from the bees’ gut. The analysis included the examination of metabolic genes and functional genes related to adhesion, the production of bioactive compounds, the modulation of the host’s immune system, and antimicrobial substances. Genes associated with antimicrobial resistance and virulence were also analyzed. Results: In silico studies revealed that L. salivarius A3iob possesses genes for glycosyltransferases (GTs) from the families GT2 and GT4, like Bombella apis and Bombella intestinalis, and glycosylhydrolases (GH) from the families GH1, GH2, GH13, GH36, GH65, and GH177, similar to Apilactobacillus kunkeei, Enterococcus durans, and bifidobacteria isolated from the bee intestine. The A3iob strain also has a unique genetic profile with a high number of secretion system genes and adhesion genes, including the ones coding for the SecA2/Y2 system, the mucus-binding proteins MucBP1, MucBP2, and MucBP3, and a pilus cluster (pilA, SpaA, SpaB, and sorteaseA) that has only been described in five strains of the L. salivarius species and in the intestinal bee-derived strain E. durans EDD2, which could be involved in the successful colonization of the A3iob strain in the bee gastrointestinal tract. Additionally, L. salivarius A3iob showed the presence of exopolysaccharide biosynthesis clusters described in the probiotic L. salivarius UCC118. Genes related to oxidative stress response (thioredoxin and NrdH-redoxin systems) and the bacteriocin genes abp118A and abp118B were found in the A3iob genome. L. salivarius A3iob does not harbor virulence or antibiotic resistance genes. Conclusions: The genomic characterization of L. salivarius A3iob performed in this work provides some clues about the genetic mechanisms underlying its probiotic properties, paving the way for future research aimed at improving bees’ health and productivity in the face of environmental challenges. Full article

In our previous work, we developed a neuromorphic decoder of intended movements of tetraplegic patients using ECoG recordings from the brain motor cortex, called Motor Control Decoder (MCD). Even though the training data are labeled based on the desired movement, there is no guarantee that the patient is satisfied by the action of the effectors. Hence, the need for the classification of brain signals as satisfactory/unsatisfactory is obvious. Based on previous work, we upgrade our neuromorphic MCD with a Neural Response Decoder (NRD) that is intended to predict whether ECoG data are satisfactory or not in order to improve MCD accuracy. The main aim is to design an actor–critic structure able to adapt via reinforcement learning the MCD (actor) based on NRD (critic) predictions. For this aim, NRD was trained using not only an ECoG signal but also the MCD prediction or prescribed intended movement of the patient. The achieved accuracy of the trained NRD is satisfactory and contributes to improved MCD performance. However, further work has to be carried out to fully utilize the NRD for MCD performance optimization in an on-line manner. Possibility to include feedback from the patient would allow for further improvement of MCD-NRD accuracy. Full article

Background/Objective: This study examines the composite influence of frailty, malnutrition, and anemia on postoperative outcomes for patients with adult spinal deformity (ASD). Methods: In this retrospective cohort study using the 2011–2022 NSQIP database, we utilized CPT and ICD codes to identify ASD patients who underwent PSF. Subjects were stratified based on frailty status. Frail patients were then classified according to malnutrition and anemia status. Frailty was determined using the revised risk analysis index (RAI-rev). Our primary outcomes were extended length of stay (LOS), non-routine discharge (NRD), 30-day adverse events (AE), and 30-day mortality. For each outcome, we fitted four nested multivariable logistic regression models (RAI-rev + anemia + malnutrition, RAI-rev + anemia, RAI-rev + malnutrition, and RAI-rev alone) and compared the incremental discrimination of each model using receiver operating characteristic (ROC) analysis. Results: Of 3639 patients, 460 were frail alone, 266 were frail + anemic, 37 were frail + malnourished, 121 were frail + anemic + malnourished, and 2755 were not frail. RAI-rev (aOR: 1.84, 95% CI: 1.45–2.35), anemia (aOR: 1.84, 95% CI: 1.45–2.35), and malnourishment (aOR: 2.34, 95% CI: 1.69–3.24) were independent predictors of extended LOS. RAI-rev (aOR: 1.07, 95% CI: 1.04–1.11) and anemia (aOR: 2.09, 95% CI: 1.66–2.61) were associated with an increased risk of 30-day AEs. RAI-rev and malnutrition were independent predictors of NRD (RAI-rev: aOR: 1.11, 95% CI: 1.06–1.16; Malnutrition: aOR: 1.57, 95% CI: 1.08–2.29) and 30-day mortality (RAI-rev: aOR: 1.10, 95% CI: 1.04–1.17; Malnutrition: aOR: 3.79, 95% CI: 1.24–11.60). Based on ROC analysis, RAI-rev + anemic + malnourished was a superior predictor of LOS and 30-day AEs (both p < 0.001). Compared to RAI-rev, RAI-rev + anemic superiorly predicted LOS and 30-day AEs, and RAI-rev + malnutrition superiorly predicted LOS (all p < 0.001). Conclusions: Our results reveal RAI-rev combined with malnutrition and anemia superiorly predicts 30-day AEs and LOS in postoperative ASD patients. Future studies should investigate the feasibility and efficacy of these models for perioperative risk stratification and optimized recovery planning to improve outcomes for ASD patients. Full article

Background and Objectives: Neonatal respiratory distress syndrome (NRDS), resulting from a deficiency of pulmonary surfactant (PS), can cause alveoli to collapse. Glucocorticoids reduce inflammation and are effective in reducing pulmonary swelling. This study aims to assess the effectiveness of the combination of PS and budesonide in the management of NRDS. Materials and Methods: Publications between 21 May and 24 November were screened through PubMed, Cochrane and Embase. Data analysis was performed on RevMan 5.3 software. Subgroup analysis was performed to evaluate the routes of administrations. Results: The use of budesonide along with pulmonary surfactant for treating NRDS revealed the following results: (1) a reduced duration of invasive mechanical ventilation (standardized mean difference (SMD) = −1.06, 95% confidence interval (CI) = −1.55 to −0.56, p < 0.0001); (2) reduced rate of bronchopulmonary dysplasia (BPD) occurrence (relative risk (RR) = 0.72, 95% CI = 0.60 to 0.86, p = 0.0003); (3) reduced duration for hospital admittance (SMD = −0.38, 95% CI = −0.64 to −0.11, p = 0.005). The occurrence of complications, i.e., sepsis, pneumothorax, retinopathy of prematurity (ROP), necrotizing enterocolitis (NEC), rate of mortality, hyperglycemia and intraventricular hemorrhage (IVH), was not significantly different among the intervention and comparison group except for patent ductus arteriosus (PDA) and pulmonary hemorrhage, with their incidence being higher in the control group (p = 0.002 and p = 0.05, respectively). Conclusions: The combination of pulmonary surfactant and budesonide decreases the occurrence of BPD, duration of mechanical ventilation, length of hospital stay and risk of pulmonary hemorrhage and PDA. It does not increase the risk of complications and death and is clinically safe. Full article

Background/Objectives: The tumor microenvironment (TME) plays a critical role in cancer progression by shaping immune responses and influencing patient outcomes. We hypothesized that the relative proximity of specific immune cell pairs to cancer cells within the TME could help predict their pro- or anti-tumor functions and reflect clinically relevant immune dynamics. Methods: We analyzed imaging mass cytometry (IMC) data from lung adenocarcinoma (LUAD) and triple-negative breast cancer (TNBC) cohorts. For each immune cell pair, we calculated a relative distance (RD) score, which quantifies the spatial difference in proximity to cancer cells. We assessed the prognostic and predictive significance of these RD-scores by comparing them with conventional features such as cell fractions, densities, and individual cell distances. To account for variations in cell abundance, we also derived normalized RD-scores (NRD-scores). Results: RD-scores were more strongly associated with overall patient survival than standard immunological metrics. Among all immune cell pairs, the RD-score comparing the proximity of B cells to that of intermediate monocytes showed the most significant association with improved survival. In TNBC, RD-scores also improved the distinction between responders and non-responders to immunochemotherapy and chemotherapy. Normalized RD-scores reinforced these findings by minimizing the influence of cell density and further highlighting the importance of immune cell spatial relationships. Conclusions: RD-scores offer a spatially informed biomarker that outperforms traditional metrics in predicting survival and treatment response. This approach provides a new perspective on immune cell behavior in the TME and has potential utility in guiding personalized cancer therapies and patient stratification. Full article

Background: Chronic mitral regurgitation (MR) is categorized into primary and secondary MR (SMR). While primary MR arises from structural abnormalities of the mitral valve apparatus, SMR is a consequence of cardiac remodeling, typically due to heart failure or atrial fibrillation. Management strategies differ significantly, with primary MR requiring direct valvular intervention and SMR necessitating a comprehensive approach incorporating guideline-directed medical therapy (GDMT), revascularization, and resynchronization strategies. The MitraClip, a transcatheter edge-to-edge repair (TEER) device, has emerged as a recommended intervention for symptomatic severe SMR despite optimal GDMT. Objectives: This study aims to evaluate national trends in MitraClip placements in the U.S. from 2016 to 2021 and to assess 90-day readmission events following the procedure. Additionally, we analyze patient and socioeconomic factors associated with heart failure readmissions post-MitraClip placement to optimize patient selection criteria. Methods: The study utilized data from the National Inpatient Sample (NIS) for the years 2016–2021 and the National Readmissions Database (NRD) for 2021. Patients who underwent MitraClip placement were identified using ICD-10 code 02UG3JZ. We stratified the population based on demographics, hospital resource utilization, and comorbidities. Index admissions were classified based on the presence or absence of heart failure remissions within 90 days post-procedure. Statistical analyses, including ANOVA and logistic regression, were conducted to identify factors associated with readmissions. Results: MitraClip utilization demonstrated a rising trend from 2016 to 2021, with total annual procedures increasing from 869 to 2488. Mean patient age remained stable at 76–79 years, with a nearly equal sex distribution. In-hospital mortality remained low (1–3%) throughout the study period. A steady increase in hospital charges was observed, alongside a decline in the mean length of stay. Analysis of 4918 index admissions for MitraClip placement in 2021 identified 780 total readmissions within 90 days, with 206 (26.4%) attributed to heart failure. Factors significantly associated with increased risk of heart failure readmissions included atrial fibrillation (OR 3.77, CI 1.82–4.23), pulmonary hypertension (OR 3.96, CI 1.49–5.55), and chronic lung disease (OR 1.91, CI 1.32–2.77). Conclusions: The increasing adoption of MitraClip underscores its growing role in managing SMR. However, heart failure readmissions remain a significant concern. Identifying high-risk patient profiles can refine selection criteria and enhance post-procedural management strategies to improve clinical outcomes. Further research is needed to optimize patient selection and refine risk stratification for MitraClip interventions. Full article

Background: Transcatheter aortic valve replacement (TAVR) has become the preferred treatment for severe aortic stenosis in high- and intermediate-risk patients, with expanding indications for lower-risk populations. However, post-procedural complications, such as stroke, conduction disturbances, and heart failure readmissions, remain concerns. The aim of our study is to analyze the national trends in TAVR procedures, in-hospital outcomes, major readmission causes, and the association of risk factors for readmissions following TAVR. Methods: We analyzed NIS data (2018–2022) to assess TAVR utilization trends, patient demographics, and in-hospital outcomes. The NRD (2021–2022) was used to evaluate 60-day readmission rates for stroke, complete heart block, and heart failure. Multivariate regression models were employed to identify risk factors having significant association with major readmission causes. Results: TAVR utilization increased from 10,788 cases in 2018 to 17,784 in 2022, with a concurrent decrease in in-hospital mortality (1.33% to 0.90%) and length of stay (3.88 to 2.97 days). Of 123,376 TAVR index admissions in 2021, 28,654 patients had 66,100 readmission events (53.57%) in the 60 days following discharge. Heart failure (17,566 cases, 26.57% of readmissions) was the most common readmission cause, followed by complete heart block (1760 cases, 2.66% of readmissions) and stroke (284 cases, 0.42% of readmissions). Predictors of post-TAVR stroke included uncontrolled hypertension (OR 2.29, p < 0.001) and chronic heart failure (OR 2.73, p < 0.001). Left bundle branch block (LBBB) was strongly associated with complete heart block (OR 12.89, p < 0.001) and heart failure readmissions (OR 7.65, p < 0.001). Conclusions: TAVR utilization has increased with improving perioperative outcomes, but post-TAVR readmissions remain significant, particularly for heart failure, stroke, and conduction disturbances. Pre-procedural uncontrolled hypertension, hyperlipidemia, congestive heart failure, and atrial fibrillation were risk factors with significant association with stroke in the 60 days following TAVR. The presence of documented pre-procedural LBB, RBB, as well as BFB were risk factors with significant association with complete heart block following TAVR placements. Pre-procedural LBB, RBB, BFB, and atrial fibrillation were risk factors having significant association with heart failure readmissions in the 60 days following TAVR. Full article

Background/Objectives: Primary spondylodiscitis (SD) cases surging in incidence globally remain a diagnostic and therapeutic challenge for physicians. The effect of lesion location on outcomes remains unclear. This study aims to assess the 90-day all-cause readmission rate in patients suffering from spondylodiscitis in different regions of the spine, with a secondary objective of comparing in-hospital mortality rates. Methods: Utilizing the 2020 Nationwide Readmissions Database (NRD), USA, adult patients (>18 years) were selected by diagnosis with ICD-10 codes for primary spondylodiscitis. Patients were categorized by localization into eight groups, excluding multifocal patients. Comparative analysis and logistic regressions were performed. Results: Among 5547 patients, lumbar SD was most prevalent, followed by thoracic and lumbo-sacral regions. Cervical SD had the lowest readmission rate (31.3%) and lower odds versus lumbar SD (adjusted OR = 0.73; p = 0.007). Other regions showed no significant differences. In-hospital mortality varied by location. The sacral region, renal failure, and advanced age were the strongest mortality predictors. Conclusions: While the incidence of spondylodiscitis varies by location on the spine, we found no significant differences in readmission rates across regions. However, there were substantial differences in in-hospital mortality rates. Comorbidities, particularly renal failure and advanced age, appear to outweigh spinal localization as risk factors for mortality and readmission. Full article

This study, for the first time in Italy, analyses by WGS a Streptococcus agalactiae strain isolated from a non-pregnant adult affected by Meningitis and without common risk factors. The S. agalactiae strain was classified as a serotype II (SS2), sequence type ST569. Molecular characterization evidenced the presence of resistance genes to tetracycline and macrolide (tet(M) and mre(A)) and several virulence genes coding for adhesion and immune evasion factors (bca, cps family, neu family, scpB, gbs family, pil family and hylB), toxins (cfa/cfb, cyl family), pro-inflammatory factors (lepA), and two homologous genes that contributed to bacterial escape from the host immune system (lmb, luxS). SNP analysis showed 18 different alleles, with 9 missense SNP mutations related to genes involved in cellular metabolism (dhaS, ftsE, ligA, nrdD and secA), virulence (bgrR and galE) and antimicrobial resistance (glpK and mutL). SNPs in glpK and mutL genes might reduce susceptibility to drugs. The SNP analysis highlighted the presence of mutations conferring pathogenicity to the strain. The evidence in this study could explain the development of Meningitis in a healthy patient. This case highlights the importance of using molecular methods to characterize the complete genome of a bacterial species that could seriously affect human health. Full article