UNASSIGNED: This study evaluated the full outline of Unresponsiveness (FOUR) score and Glasgow Coma Scale (GCS) to predict traumatic brain injury (TBI) outcomes.
UNASSIGNED: Among 107 patients, FOUR and GCS grading systems analyzed emergency department patients within 24 hours. FOUR and GCS were assessed simultaneously. Patients were followed for 15 days/discharge/death to evaluate the results. Modified Rankin scores measured in-hospital mortality, morbidity, and stay.
UNASSIGNED: 65.42% of patients were 25-65. 10% were under 25, and 25% were over 65. Patients were 81% male. Road traffic accidents (RTAs) (90%), falls (7.48%), and assaults (1.47%) caused TBI. 19.62% died. 85.7% of 21 non-survivors had GCS <5 and FOUR <4. GCS mortality sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 85.71%, 93.02%, 75, and 96.4 (P < 0.0001). FOUR score mortality sensitivity, specificity, PPV, and NPV were 85.71%, 96.51%, 85.7, and 96.5 (P < 0.0001). GCS and FOUR AUCs matched (P = 0.52). The unadjusted model reduced in-hospital mortality by 14% for every one point increase in GCS. Every 1-point FOUR score increase reduced in-hospital mortality by 40% in the unadjusted model. GCS and FOUR scored 0.9 Spearman.
UNASSIGNED: The FOUR score was comparable in the prediction of mortality in these patients.

Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents a novel joint deep learning (JDL) framework that improves such tasks by utilizing simultaneously learned myocardium segmentations to eliminate negative effects from non-region-of-interest areas. In contrast to previous approaches treating scar detection and myocardium segmentation as separate or parallel tasks, our proposed method introduces a message passing module where the information of myocardium segmentation is directly passed to guide scar detectors. This newly designed network will efficiently exploit joint information from the two related tasks and use all available sources of myocardium segmentation to benefit scar identification. We demonstrate the effectiveness of JDL on LGE-CMR images for automated left ventricular (LV) scar detection, with great potential to improve risk prediction in patients with both ischemic and non-ischemic heart disease and to improve response rates to cardiac resynchronization therapy (CRT) for heart failure patients. Experimental results show that our proposed approach outperforms multiple state-of-the-art methods, including commonly used two-step segmentation-classification networks, and multitask learning schemes where subtasks are indirectly interacted.

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Chemotherapy is one of the best methods to cure oncologic patients. However, it leads to adverse effects that contribute to the establishment of infections. Up-to-date knowledge is needed to offer the best care to patients.
This is a narrative review based on searching articles in five databases (PubMed, LILACS, Research Gate, Google Scholar, and SciELO) using \"cancer treatments\", \"chemotherapy\", \"febrile neutropenia\", \"cancer opportunistic infections\", \"chemotherapy AND febrile neutropenia\", \"cancer AND hospital infections\", and \"immunosuppression AND cancer patients\" as keywords. No filter was applied, however, articles published in the last five years were preferentially selected to compose this article.
Almost all microorganisms can cause infection in cancer patients, including colonizing and normal microbiota. However, Escherichia coli, Pseudomonas aeruginosa, Klebsiella spp., Staphylococcus spp., and Streptococcus spp. are the most reported agents. Viruses may be underrepresented because molecular techniques are needed to identify them. Bloodstream and associated infections are among the highest occurrences because of the devices that are constantly introduced. Antibiotic administration selects for resistant microorganisms, which leads to delay or even failure in the treatment. Protocols for efficient infection prevention and control measures must involve staff from the kitchen, janitors, nurses, and physicians, in addition to patients and relatives.
Bloodstream infections caused by the bacteria and which have the most resistance to several antimicrobials are the main concern for oncologic patients. Preventive and educative actions must be taken by a multidisciplinary team in order to achieve the best care for the vulnerable patients.

Human T-lymphotropic virus (HTLV) 1 and 2 infections can lead to neurological diseases, mainly in HIV/HTLV 1 coinfected. Furthermore, HTLV 1 infection in HIV/AIDS patients has also been associated with AIDS progression. Despite this, HTLV 1/2 infections are not of mandatory notification in Brazil. Here, we describe the prevalence of HTLV 1/2 in HIV/AIDS patients from Paraíba state, Brazil, as well as the sociodemographic characteristics of the coinfected individuals.
Information about HIV viral load and TCD4 lymphocyte count were obtained from patients\' records. Data on the patients\' sociodemographic characteristics were obtained by interview conducted after signing the informed consent form. The serological diagnosis for HTLV 1/2 was performed by Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB).
A total of 401 HIV/AIDS patients participated in the study, of whom about 1.5% (6/401) were positive for antibodies against HTLV, specifically for HTLV 1, evaluated by both ELISA and WB. No risk factors were found associated with HIV/HTLV 1/2 coinfection.
We report a 1.5% prevalence of HTLV 1 infection in HIV/AIDS patients from Paraíba state. Although we have not identified risk factors associated with HTLV 1, we describe the most observed sociodemographic characteristics in HIV/HTLV 1 coinfection.

Campylobacter concisus has been described as the etiological agent of periodontal disease, inflammatory bowel diseases, and enterocolitis. It is also detected in healthy individuals. There are differences between strains in healthy individuals and affected ones by production of two exototoxins. In this mini review authors discuss major facts about cultivation, isolation, virulence and immune response to C. concisus.

Objectives: The purpose of this study was to verify the veracity and reliability of the INCNS score for prediction of neurological ICU (NICU) mortality and 3-month functional outcome and mortality in comatose patients. Methods: In this prospective study, data of the patients admitted to NICU from January 2013 to January 2019 were collected for validation. The 3-month functional outcomes were evaluated using modified Rankin Scale (mRS). By using the receiver operating characteristics curve (ROC) analysis, we compared the INCNS score with Glasgow Coma Scale (GCS), Full Outline of Un-Responsiveness Score (FOUR) and Acute Physiology and Chronic Health Evaluation II (APACHE II) for assessment of the predictive performance of these scales for 3-month functional outcome and mortality and NICU mortality performed at 24- and 72-h after admission to the NICU. Results: Totally 271 patients were used for evaluation; the INCNS score achieved an AUC (area under the receiver operating characteristic curve) of 0.766 (95% CI: 0.711-0.815) and 0.824 (95% CI: 0.774-0.868) for unfavorable functional outcomes, an AUC of 0.848 (95% CI: 0.800-0.889) and 0.892 (95% CI: 0.848-0.926) for NICU mortality, and an AUC of 0.811 (95% CI: 0.760-0.856) and 0.832 (95% CI: 0.782-0.874) for the 3-month mortality after discharge from the NICU at 24- and 72-h. The INCNS score exhibited a significantly better predictive performance of mortality and 3-month functional outcomes than FOUR and GCS. There was no significant difference in predicting NICU mortality and 3-month functional outcomes between INCNS and APACHE II, but INCNS had better predictive performance of 3-month mortality than APACHE II. Conclusions: The INCNS score could be used for predicting the functional outcomes and mortality rate of comatose patients.

Chest pain is a frequent chief complaint in the ED. Identifying acute coronary syndrome (ACS) and establishing proper disposition for further risk assessment for major adverse cardiac events are paramount. The HEART Score is a key decision-making tool used to determine patient risk and disposition. One scenario with a potential drawback of the HEART Score is found in patients with a score of four based solely on age and risk factors. The HEART Score categorizes a score of three or less as low risk, and patients with scores above this threshold are typically admitted. We present six cases of chest pain presenting to a military emergency department with a score of four based solely on age and risk factors. They represent every such case found in a previously created database used to validate the HEART Score. We followed each case forward one year in electronic medical records to identify major adverse cardiac events. With the exception of one case that was placed on hospice for non-cardiac reasons and subsequently lost to follow up, there were no adverse events. There is a rising concern for increasing hospital admission rates, overuse of resources, and cost. We highlight that this subset of HEART Score patients requires a more nuanced risk stratification in the ED. It may be worth the time and effort to risk stratify this subset with coronary computed tomography angiography. This additional effort may help reduce admission at such a patient\'s current and future presentations to the ED for chest pain.

The Glasgow Coma Scale (GCS) and visual inspection of pupillary function are routine measures to monitor patients with impaired consciousness and predict their outcome in the neurointensive care unit (neuro-ICU). Our aim was to compare more recent measures, i.e. FOUR score and automated pupillometry, to standard monitoring with the GCS and visual inspection of pupils.
Supervised trained nursing staff examined a consecutive sample of patients admitted to the neuro-ICU of a tertiary referral centre using GCS and FOUR score and assessing pupillary function first by visual inspection and then by automated pupillometry. Clinical outcome was evaluated 6 months after admission using the Glasgow Outcome Scale-Extended.
Fifty-six consecutive patients (median age 63 years) were assessed a total of 234 times. Of the 36 patients with at least one GCS score of 3, 13 had a favourable outcome. All seven patients with at least one FOUR score of ≤ 3 had an unfavourable outcome, which was best predicted by a low \"brainstem\" sub-score. Compared to automated pupillometry, visual assessment underestimated pupillary diameters (median difference, 0.4 mm; P = 0.006). Automated pupillometry detected a preserved pupillary light reflex in 10 patients, in whom visual inspection had missed pupillary constriction.
Training of nursing staff to implement frequent monitoring of patients in the neuro-ICU with FOUR score and automated pupillometry is feasible. Both measures provide additional clinical information compared to the GCS and visual assessment of pupillary function, most importantly a more granular classification of patients with low levels of consciousness by the FOUR score.

BACKGROUND: Infections related to the use of invasive instruments leads to the risk of treatment difficulties, prolonged hospitalization, increased health care costs, and increased mortality and morbidity rates. The present study examines the results of an infection surveillance study that showed an increased incidence of infections related to the use of invasive instruments in the cardiovascular surgery intensive care unit of the Ankara Training and Research Hospital and mitigating measures were taken following the surveillance program.
METHODS: Compared with previous surveillance data, an increase was observed in the incidence of infections related to the use of invasive instruments in cardiovascular surgery intensive care unit (CVS-ICU) during the first six months of 2014. A research team was formed comprising one infectious diseases and microbiology specialist, one cardiovascular surgeon, and two infection-control nurses. Patient data was collected. The compliance of the surgeons, nurses, and other health care professionals to the infection control measures was evaluated.
RESULTS: The rate of ventilator-associated pneumonia was 8.20% and the rate of catheter-associated urinary tract infection was 4.47% in the CVS-ICU. There were missing or inadvertent practices regarding antibiotic prophylaxis, asepsis and antisepsis and isolation measures in patient preparation and patient care before and after the operations. The rate of inappropriate antibiotic as prolonged use was 72%.
CONCLUSIONS: It is one of the basic tasks to take appropriate measures to prevent outbreaks of hospital infections. It is possible to prevent an outbreak of hospital infections only by the accurate analysis of data and establishing strict infection control procedures.