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Implementation of an adapted Sepsis Risk Calculator algorithm to reduce antibiotic usage in the management of early onset neonatal sepsis: a multicentre initiative in Wales, UK

Arch Dis Child Fetal Neonatal Ed. 2021 Sep 22:fetalneonatal-2020-321489. doi: 10.1136/archdischild-2020-321489. Online ahead of print.

ABSTRACT

OBJECTIVE: Assess the impact of introducing a consensus guideline incorporating an adapted Sepsis Risk Calculator (SRC) algorithm, in the management of early onset neonatal sepsis (EONS), on antibiotic usage and patient safety.

DESIGN: Multicentre prospective study SETTING: Ten perinatal hospitals in Wales, UK.

PATIENTS: All live births ≥34 weeks’ gestation over a 12-month period (April 2019-March 2020) compared with infants in the preceding 15-month period (January 2018-March 2019) as a baseline.

METHODS: The consensus guideline was introduced in clinical practice on 1 April 2019. It incorporated a modified SRC algorithm, enhanced in-hospital surveillance, ongoing quality assurance, standardised staff training and parent education. The main outcome measure was antibiotic usage/1000 live births, balancing this with analysis of harm from delayed diagnosis and treatment, disease severity and readmissions from true sepsis. Outcome measures were analysed using statistical process control charts.

MAIN OUTCOME MEASURES: Proportion of antibiotic use in infants ≥34 weeks’ gestation.

RESULTS: 4304 (14.3%) of the 30 105 live-born infants received antibiotics in the baseline period compared with 1917 (7.7%) of 24 749 infants in the intervention period (45.5% mean reduction). All 19 infants with culture-positive sepsis in the postimplementation phase were identified and treated appropriately. There were no increases in sepsis-related neonatal unit admissions, disease morbidity and late readmissions.

CONCLUSIONS: This multicentre study provides evidence that a judicious adaptation of the SRC incorporating enhanced surveillance can be safely introduced in the National Health Service and is effective in reducing antibiotic use for EONS without increasing morbidity and mortality.

PMID:34551917 | DOI:10.1136/archdischild-2020-321489

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Short-Term Impact of Bracing in Multi-Level Posterior Lumbar Spinal Fusion

Int J Spine Surg. 2021 Sep 22:8119. doi: 10.14444/8119. Online ahead of print.

ABSTRACT

BACKGROUND: Clinical practice in postoperative bracing after posterior lumbar spine fusion (PLF) is inconsistent between providers. This paper attempts to assess the effect of bracing on short-term outcomes related to safety, quality of care, and direct costs.

METHODS: Retrospective cohort analysis of consecutive patients undergoing multilevel PLF with or without bracing (2013-2017) was undertaken (n = 980). Patient demographics and comorbidities were analyzed. Outcomes assessed included length of stay (LOS), discharge disposition, quality-adjusted life years (QALY), surgical-site infection (SSI), total cost, readmission within 30 days, and emergency department (ED) evaluation within 30 days.

RESULTS: Amongst the study population, 936 were braced and 44 were not braced. There was no difference between the braced and unbraced cohorts regarding LOS (P = .106), discharge disposition (P = .898), 30-day readmission (P = .434), and 30-day ED evaluation (P = 1.000). There was also no difference in total cost (P = .230) or QALY gain (P = .740). The results indicate a significantly lower likelihood of SSI in the braced population (1.50% versus 6.82%, odds ratio = 0.208, 95% confidence interval = 0.057-0.751, P = .037). There was no difference in relevant comorbidities (P = .259-1.000), although the braced cohort was older than the unbraced cohort (63 versus 56 y, P = .003).

CONCLUSION: Bracing following multilevel posterior lumbar fixation does not alter short-term postoperative course or reduce the risk for early adverse events. Cost analysis show no difference in direct costs between the 2 treatment approaches. Short-term data suggest that removal of bracing from the postoperative regimen for PLF will not result in increased adverse outcomes.

PMID:34551926 | DOI:10.14444/8119

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Arthroscopic Bankart versus open Latarjet as a primary operative treatment for traumatic anteroinferior instability in young males: a randomised controlled trial with 2-year follow-up

Br J Sports Med. 2021 Sep 22:bjsports-2021-104028. doi: 10.1136/bjsports-2021-104028. Online ahead of print.

ABSTRACT

OBJECTIVES: To compare the success rates of arthroscopic Bankart and open Latarjet procedure in the treatment of traumatic shoulder instability in young males.

DESIGN: Multicentre randomised controlled trial.

SETTING: Orthopaedic departments in eight public hospitals in Finland.

PARTICIPANTS: 122 young males, mean age 21 years (range 16-25 years) with traumatic shoulder anteroinferior instability were randomised.

INTERVENTIONS: Arthroscopic Bankart (group B) or open Latarjet (group L) procedure.

MAIN OUTCOME MEASURES: The primary outcome measure was the reported recurrence of instability, that is, dislocation at 2-year follow-up. The secondary outcome measures included clinical apprehension, sports activity level, the Western Ontario Shoulder Instability Index, the pain Visual Analogue Scale, the Oxford Shoulder Instability Score, the Constant Score and the Subjective Shoulder Value scores and the progression of osteoarthritic changes in plain films and MRI.

RESULTS: 91 patients were available for analyses at 2-year follow-up (drop-out rate 25%). There were 10 (21%) patients with redislocations in group B and 1 (2%) in group L, p=0.006. One (9%) patient in group B and five (56%) patients in group L returned to their previous top level of competitive sports (p=0.004) at follow-up. There was no statistically significant between group differences in any of the other secondary outcome measures.

CONCLUSIONS: Arthroscopic Bankart operation carries a significant risk for short-term postoperative redislocations compared with open Latarjet operation, in the treatment of traumatic anteroinferior instability in young males. Patients should be counselled accordingly before deciding the surgical treatment.

TRIAL REGISTRATION NUMBER: NCT01998048.

PMID:34551902 | DOI:10.1136/bjsports-2021-104028

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SARS-CoV-2 in Solid Organ Transplant Recipients: A Structured Review of 2020

Transplant Proc. 2021 Aug 16:S0041-1345(21)00550-9. doi: 10.1016/j.transproceed.2021.08.019. Online ahead of print.

ABSTRACT

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is challenging health systems all over the world. Particularly high-risk groups show considerable mortality rates after infection. In 2020, a huge number of case reports, case series, and consecutively various systematic reviews have been published reporting on morbidity and mortality risk connected with SARS-CoV-2 in solid organ transplant (SOT) recipients. However, this vast array of publications resulted in an increasing complexity of the field, overwhelming even for the expert reader.

METHODS: We performed a structured literature review comprising electronic databases, transplant journals, and literature from previous systematic reviews covering the entire year 2020. From 164 included articles, we identified 3451 cases of SARS-CoV-2-infected SOT recipients.

RESULTS: Infections resulted in a hospitalization rate of 84% and 24% intensive care unit admissions in the included patients. Whereas 53.6% of patients were reported to have recovered, cross-sectional overall mortality reported after coronavirus disease 2019 (COVID-19) was at 21.1%. Synoptic data concerning immunosuppressive medication attested to the reduction or withdrawal of antimetabolites (81.9%) and calcineurin inhibitors (48.9%) as a frequent adjustment. In contrast, steroids were reported to be increased in 46.8% of SOT recipients.

CONCLUSIONS: COVID-19 in SOT recipients is associated with high morbidity and mortality worldwide. Conforming with current guidelines, modifications of immunosuppressive therapies mostly comprised a reduction or withdrawal of antimetabolites and calcineurin inhibitors, while frequently maintaining or even increasing steroids. Here, we provide an accessible overview to the topic and synoptic estimates of expectable outcomes regarding in-hospital mortality of SOT recipients with COVID-19.

PMID:34551880 | DOI:10.1016/j.transproceed.2021.08.019

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Health Literacy in Germany-Findings of a Representative Follow-up Survey

Dtsch Arztebl Int. 2021 Oct 29;(Forthcoming):arztebl.m2021.0310. doi: 10.3238/arztebl.m2021.0310. Online ahead of print.

ABSTRACT

BACKGROUND: Studies have shown that the health literacy of the German population is low. The aim of this article is to analyze current developments in health literacy on the basis of recent data.

METHODS: The Health Literacy Survey Germany 2 (HLS-GER 2) is a representative quantitative survey of the German-speaking resident population of Germany aged 18 and above. It was carried out in December 2019 and January 2020 by paper-assisted personal oral interview (PAPI). Data on health literacy and sociodemographic characteristics were acquired with an internationally coordinated questionnaire. The instrument for measuring general health literacy consisted of 47 questions that reflect an individual’s ability to access, understand, appraise, and apply health-related information. The associations between general health literacy and sociodemographic factors were analyzed using bivariate and multivariate statistical tests.

RESULTS: 58.8% of the participants had low health literacy, characterized by rating at least onethird of the questions as “difficult” or “very difficult.” Many respondents stated that they had difficulties accessing (48.3%), understanding (47.7%), and applying (53.5%) information, and even more of them (74.7%) reported difficulties appraising information. The correlation coefficients reveal that health literacy is weakly associated with the following variables: age, sex, social status, literacy, level of education, financial deprivation, migration background, and the presence of one or more chronic diseases.

CONCLUSION: The findings of the HLS-GER 2 highlight the need for action in promoting health literacy in the healthcare system. As the explanation of variance is low, there are presumably other important determinants of health literacy that were not taken into account. Further studies should be performed to investigate societal conditions of supplying health information, for example, or social and personal characteristics.

PMID:34551856 | DOI:10.3238/arztebl.m2021.0310

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Association between neutrophil percentage-to-albumin ratio and contrast-associated acute kidney injury in patients without chronic kidney disease undergoing percutaneous coronary intervention

J Cardiol. 2021 Sep 19:S0914-5087(21)00238-0. doi: 10.1016/j.jjcc.2021.09.004. Online ahead of print.

ABSTRACT

BACKGROUND: Neutrophil and albumin are well-known biomarkers of inflammation, which are highly related to contrast-associated acute kidney injury (CA-AKI). We aim to explore the predictive value of neutrophil percentage-to-albumin ratio (NPAR) for CA-AKI and long-term mortality in patients without chronic kidney disease (CKD) undergoing elective percutaneous coronary intervention (PCI).

METHODS: We retrospectively observed 5083 consenting patients from January 2012 to December 2018. CA-AKI was defined as an increase in serum creatinine ≥50% or 0.3 mg/dL within 48 h after contrast medium exposure.

RESULTS: The incidence of CA-AKI was 5.6% (n=286). The optimal cut-off value of NPAR for predicting CA-AKI was 15.7 with 66.8% sensitivity and 61.9% specificity [C statistic=0.679; 95% confidence interval (CI), 0.666-0.691]. NPAR displayed higher area under the curve values in comparison to neutrophil percentage (p < 0.001) and neutrophil-to-albumin ratio (NAR) (p < 0.001), but not albumin (p = 0.063). However, NPAR significantly improved the prediction of CA-AKI assessed by the continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) compared to neutrophil percentage (NRI=0.353, 95% CI: 0.234-0.472, p < 0.001; IDI=0.017, 95% CI: 0.010-0.024, p < 0.001) and albumin (NRI=0.141, 95% CI: 0.022-0.260, p = 0.020; IDI=0.009, 95% CI: 0.003-0.015, p = 0.003) alone. After adjusting for potential confounding factors, multivariate analysis showed that NPAR >15.7 was a strong independent predictor of CA-AKI (odds ratio =1.90, 95% CI: 1.38-2.63, p < 0.001). Additionally, NPAR >15.7 was significantly associated with long-term mortality during a median of 2.9 years of follow-up (hazard ratio =1.68, 95% CI: 1.32-2.13; p < 0.001).

CONCLUSIONS: NPAR was an independent predictor of CA-AKI and long-term mortality in patients without CKD undergoing elective PCI.

PMID:34551865 | DOI:10.1016/j.jjcc.2021.09.004

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Delirium occurrence and association with outcomes in hospitalized COVID-19 patients

Int Psychogeriatr. 2021 Sep 23:1-5. doi: 10.1017/S104161022100106X. Online ahead of print.

ABSTRACT

Delirium is reported to be one of the manifestations of coronavirus infectious disease 2019 (COVID-19) infection. COVID-19 hospitalized patients are at a higher risk of delirium. Pathophysiology behind the association of delirium and COVID-19 is uncertain. We analyzed the association of delirium occurrence with outcomes in hospitalized COVID-19 patients, across all age groups, at Mayo Clinic hospitals.A retrospective study of all hospitalized COVID-19 patients at Mayo Clinic between March 1, 2020 and December 31, 2020 was performed. Occurrence of delirium and outcomes of mortality, length of stay, readmission, and 30-day mortality after hospital discharge were measured. Chi-square test, student t-test, survival analysis, and logistic regression analysis were performed to measure and compare outcomes of delirium group adjusted for age, sex, Charlson comorbidity score, and COVID-19 severity with no-delirium group.A total of 4351 COVID-19 patients were included in the study. Delirium occurrence in the overall study population was noted to be 22.4%. The highest occurrence of delirium was also noted in patients with critical COVID-19 illness severity. A statistically significant OR 4.35 (3.27-5.83) for in-hospital mortality and an OR 4.54 (3.25-6.38) for 30-day mortality after discharge in the delirium group were noted. Increased hospital length of stay, 30-day readmission, and need for skilled nursing facility on discharge were noted in the delirium group. Delirium in hospitalized COVID-19 patients is a marker for increased mortality and morbidity. In this group, outcomes appear to be much worse when patients are older and have a critical severity of COVID-19 illness.

PMID:34551841 | DOI:10.1017/S104161022100106X

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Prehospital Ketamine Administration for Excited Delirium with Illicit Substance Co-Ingestion and Subsequent Intubation in the Emergency Department

Prehosp Disaster Med. 2021 Sep 23:1-5. doi: 10.1017/S1049023X21000935. Online ahead of print.

ABSTRACT

INTRODUCTION: Excited delirium, which has been defined as combativeness, agitation, and altered sensorium, requires immediate treatment in prehospital or emergency department (ED) settings for the safety of both patients and caregivers. Prehospital ketamine use is prevalent, although the evidence on safety and efficacy is limited. Many patients with excited delirium are intoxicated with illicit substances. This investigation explores whether patients treated with prehospital ketamine for excited delirium with concomitant substance intoxication have higher rates of subsequent intubation in the ED compared to those without confirmed substance usage.

METHODS: Over 28 months at two large community hospitals, all medical records were retrospectively searched for all patients age 18 years or greater with prehospital ketamine intramuscular (IM) administration for excited delirium and identified illicit and prescription substance co-ingestions. Trained abstractors collected demographic characteristics, history of present illness (HPI), urine drug screens (UDS), alcohol levels, and noted additional sedative administrations. Substance intoxication was determined by UDS and alcohol positivity or negativity, as well as physician HPI. Patients without toxicological testing or documentation of substance intoxication, or who may have tested positive due to ED sedation, were excluded from relevant analyses. Subsequent ED intubation was the primary pre-specified outcome. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to compare variables.

RESULTS: Among 86 patients given prehospital ketamine IM for excited delirium, baseline characteristics including age, ketamine dose, and body mass index were similar between those who did or did not undergo intubation. Men had higher intubation rates. Patients testing positive for alcohol, amphetamines, barbiturates, benzodiazepines, ecstasy, marijuana, opiates, and synthetic cathinones, both bath salts and flakka, had similar rates of intubation compared to those negative for these substances. Of 27 patients with excited delirium and concomitant cocaine intoxication, nine (33%) were intubated compared with four of 50 (8%) without cocaine intoxication, yielding a 5.75 OR (95%, CI 1.57 to 21.05; P = .009).

CONCLUSION: Patients treated with ketamine IM for excited delirium with concomitant cocaine intoxication had a statistically significant 5.75-fold increased rate of subsequent intubation in the ED. Amongst other substances, no other trends with intubation were noted, but further study is warranted.

PMID:34551849 | DOI:10.1017/S1049023X21000935

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DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning

J Cheminform. 2021 Sep 22;13(1):71. doi: 10.1186/s13321-021-00552-w.

ABSTRACT

Drug-target interaction (DTI) prediction is a crucial step in drug discovery and repositioning as it reduces experimental validation costs if done right. Thus, developing in-silico methods to predict potential DTI has become a competitive research niche, with one of its main focuses being improving the prediction accuracy. Using machine learning (ML) models for this task, specifically network-based approaches, is effective and has shown great advantages over the other computational methods. However, ML model development involves upstream hand-crafted feature extraction and other processes that impact prediction accuracy. Thus, network-based representation learning techniques that provide automated feature extraction combined with traditional ML classifiers dealing with downstream link prediction tasks may be better-suited paradigms. Here, we present such a method, DTi2Vec, which identifies DTIs using network representation learning and ensemble learning techniques. DTi2Vec constructs the heterogeneous network, and then it automatically generates features for each drug and target using the nodes embedding technique. DTi2Vec demonstrated its ability in drug-target link prediction compared to several state-of-the-art network-based methods, using four benchmark datasets and large-scale data compiled from DrugBank. DTi2Vec showed a statistically significant increase in the prediction performances in terms of AUPR. We verified the “novel” predicted DTIs using several databases and scientific literature. DTi2Vec is a simple yet effective method that provides high DTI prediction performance while being scalable and efficient in computation, translating into a powerful drug repositioning tool.

PMID:34551818 | DOI:10.1186/s13321-021-00552-w

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Evaluation of the costing methodology of published studies estimating costs of surgical site infections: A systematic review

Infect Control Hosp Epidemiol. 2021 Sep 23:1-17. doi: 10.1017/ice.2021.381. Online ahead of print.

ABSTRACT

OBJECTIVES: Surgical site infections (SSIs) are associated with increased length of hospitalization and costs. Epidemiologists and infection control practitioners, who are in charge of implementing infection control measures, have to assess the quality and relevance of the published SSI cost estimates before using them to support their decisions. In this review, we aimed to determine the distribution and trend of analytical methodologies used to estimate cost of SSIs, to evaluate the quality of costing methods and the transparency of cost estimates, and to assess whether researchers were more inclined to use transferable studies.

METHODS: We searched MEDLINE to identify published studies that estimated costs of SSIs from 2007 to March 2021, determined the analytical methodologies, and evaluated transferability of studies based on 2 evaluation axes. We compared the number of citations by transferability axes.

RESULTS: We included 70 studies in our review. Matching and regression analysis represented 83% of analytical methodologies used without change over time. Most studies adopted a hospital perspective, included inpatient costs, and excluded postdischarge costs (borne by patients, caregivers, and community health services). Few studies had high transferability. Studies with high transferability levels were more likely to be cited.

CONCLUSIONS: Most of the studies used methodologies that control for confounding factors to minimize bias. After the article by Fukuda et al, there was no significant improvement in the transferability of published studies; however, transferable studies became more likely to be cited, indicating increased awareness about fundamentals in costing methodologies.

PMID:34551830 | DOI:10.1017/ice.2021.381