Improved adherence to hip fracture standards reduces mortality after hip fractures

BACKGROUND

Hip fractures are increasing in incidence due to increasing life expectancy. Mortality continues to improve but it is important to explore which factors are responsible for driving improvements.

METHODS

A cohort of hip fracture patients predating SARS-CoV-2 was examined to determine the predictors of adherence to the six Irish Hip Fracture Standards (IHFS) and the impact of adherence on short (30 day) and long term (1 year) mortality. Our primary aim was assess the impact of a single HFS and cumulative number of HFS on mortality after hip fracture. Our secondary aim was to determine the impact of the HFS which are intrinsically linked to specialist Geriatric care.

RESULTS

Across 962 patients, over 5 years, the factors which were associated with adherence to HFS were female gender, increasing ASA grade and being nursed on an orthopaedic ward. Patients with increasing ASA were more likely to have met HFS 4-6 (Geriatrician review HFS4, bone health HFS5 & specialist falls assessment HFS6), less likely to have surgery within 48 h are more likely to develop a pressure ulcer. If the patient was not nursed on an orthopaedic ward all HFS were less likely to be met. At 30 days HFS 4-6 were associated with a statistically significant odds ratio (OR) of being alive, while at one year HFS 1 (admitted to an orthopaedic ward within 4 h), 5 and 6 were associated with a statistically significant OR of being alive. As increasing numbers of hip fracture standards were met patients were more likely to be alive at 30 days and one year.

CONCLUSION

This study has identified that improved adherence to hip fracture standards are associated with improved mortality at 30 days and one year.

Systemic juvenile idiopathic arthritis: The Great Ormond Street Hospital experience (2005-2021)

Systemic juvenile idiopathic arthritis (sJIA) is a complex, systemic inflammatory disorder driven by both innate and adaptive immunity. Improved understanding of sJIA pathophysiology has led to recent therapeutic advances including a growing evidence base for the earlier use of IL-1 or IL-6 blockade as first-line treatment. We conducted a retrospective case notes review of patients diagnosed with sJIA over a 16-year period (October 2005-October 2021) at Great Ormond Street Hospital for Children. We describe the clinical presentation, therapeutic interventions, complications, and remission rates at different timepoints over the disease course. We examined our data, which spanned a period of changing therapeutic landscape, to try and identify potential therapeutic signals in patients who received biologic treatment early in the disease course compared to those who did not. A total of 76-children (female n = 40, 53%) were diagnosed with sJIA, median age 4.5 years (range 0.6-14.1); 36% (27/76) presented with suspected or confirmed macrophage activation syndrome. A biologic disease-modifying anti-rheumatic drug (bDMARD) alone was commenced as first-line treatment in 28% (n = 21/76) of the cohort; however, at last review, 84% (n = 64/76) had received treatment with a bDMARD. Clinically inactive disease (CID) was achieved by 88% (n = 67/76) of the cohort at last review; however, only 32% (24/76) achieved treatment-free CID. At 1-year follow-up, CID was achieved in a significantly greater proportion of children who received treatment with a bDMARD within 3 months of diagnosis compared to those who did not (90% vs. 53%, p = 0.002). Based on an ever-increasing evidence base for the earlier use of bDMARD in sJIA and our experience of the largest UK single-centre case series described to date, we now propose a new therapeutic pathway for children diagnosed with sJIA in the UK based on early use of bDMARDs. Reappraisal of the current National Health Service commissioning pathway for sJIA is now urgently required.

Health resource utilization of labor induction versus expectant management

BACKGROUND

Although induction of labor of low-risk nulliparous women at 39 weeks reduces the risk of cesarean delivery compared with expectant management, concern regarding more frequent use of labor induction remains, given that this intervention historically has been thought to incur greater resource utilization.

OBJECTIVE

The objective of the study was to determine whether planned elective labor induction at 39 weeks among low-risk nulliparous women, compared with expectant management, was associated with differences in health care resource utilization from the time of randomization through 8 weeks postpartum.

STUDY DESIGN

This is a planned secondary analysis of a multicenter randomized trial in which low-risk nulliparous women were assigned to induction of labor at 39 weeks or expectant management. We assessed resource utilization after randomization in 3 time periods: antepartum, delivery admission, and discharge through 8 weeks postpartum.

RESULTS

Of 6096 women with data available, those in the induction of labor group (n = 3059) were significantly less likely in the antepartum period after randomization to have at least 1 ambulatory visit for routine prenatal care (32.4% vs 68.4%), unanticipated care (0.5% vs 2.6%), or urgent care (16.2% vs 44.3%), or at least 1 antepartum hospitalization (0.8% vs 2.2%, P < .001 for all). They also had fewer tests (eg, sonograms, blood tests) and treatments (eg, antibiotics, intravenous hydration) prior to delivery. During the delivery admission, women in the induction of labor group spent a longer time in labor and delivery (median, 0.83 vs 0.57 days), but both women (P = .002) and their neonates (P < .001) had shorter postpartum stays. Women and neonates in both groups had similar frequencies of postpartum urgent care and hospital readmissions (P > .05 for all).

CONCLUSION

Women randomized to induction of labor had longer durations in labor and delivery but significantly fewer antepartum visits, tests, and treatments and shorter maternal and neonatal hospital durations after delivery. These results demonstrate that the health outcome advantages associated with induction of labor are gained without incurring uniformly greater health care resource use.

Evaluation of Variability of Instruments Used in Pork Loin Quality Assessments

ObjectivesIt has been historically proven that when measuring instrumental color, the magnitude of the color value will differ between instruments types, (i.e., HunterLab and Minolta). However, it is not known whether variability of readings within machine differs between machine type when measuring instrumental color or pH. It is also not known if pH or color values from one machine can be used to predict values from a second machine. The objectives were to (1) evaluate the effect of machine on the variability of instrumental color and pH measurements of boneless pork loins and (2) determine if color or pH measurements from one machine type can be used to predict measurements from a second machine type.Materials and MethodsTwo different sets (n1 = 253 and n2 = 294, respectively) of loins from a commercial processing facility were measured for instrumental color analysis. Loins were evaluated on the ventral face at the approximate location of the 10th rib at 22 h postmortem. Instrumental color was measured using a Minolta CR-400 Chroma meter equipped with a D65 illuminant, 2° observer, 8mm aperture, and calibrated with a white tile specific to the machine, but the first set were measured with an open aperture while the second used a closed aperture. The HunterLab was equipped with a 10° observer, 25 mm port and calibrated with a black and white tile specific to the machine for both sets. Ultimate pH was measured on three additional sets of loins (n1 = 249, n2 = 170, and n3 = 285 for each group, respectively) using two separate pH meters. Color and pH data were analyzed using the MIXED procedure of SAS as a 1-way ANOVA with two levels (Minolta and Hunter for color, Meter A and Meter B for pH). Variances for each treatment were calculated using the means procedure and tested for homogeneity using the Levene’s test of the GLM procedure. Means and variances were considered different at P ≤ 0.05. Coefficients of determination (R2) were calculated using the REG procedure between Hunter and Minolta readings and between pH meters.ResultsRedness, Chroma and hue angle had greater variability (P < 0.01) when measured using the open aperture Minolta than HunterLab, while only chroma (P = 0.04) and hue angle (P < 0.01) had greater variability when using the closed aperture Minolta compared with the HunterLab. Variability of other traits did not differ between machines. For each set of loins, pH variability was greater for meter B than meter A. R2 values between the HunterLab and open aperture Minolta were 0.42 for lightness, 0.41 for redness, 0.27 for yellowness, 0.28 for saturation, and 0.18 for hue angle. R2 values between the HunterLab and closed aperture Minolta were 0.42 for lightness, 0.42 for redness, 0.33 for yellowness, 0.24 for saturation, and 0.04 for hue angle. Meter A was able to predict between 17–21% of variation in Meter B.ConclusionOverall, variability was generally not different between color machines, while pH meters had different variabilities between machines and on days of measurement. Neither color instruments nor pH meters were able to predict values from other instruments of different types well enough for practical use.

Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix

OBJECTIVE

To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic factors, in the prediction of perinatal outcome in asymptomatic pregnant women with short cervical length (CL).

METHODS

AF samples, which had been obtained in the second trimester from asymptomatic women with short CL (< 15 mm) identified on transvaginal ultrasound, were analyzed. CL, funneling and the presence of AF 'sludge' were assessed in all cases close to the time of amniocentesis. A combination of liquid chromatography coupled with mass spectrometry and proton nuclear magnetic resonance spectroscopy-based metabolomics, as well as targeted proteomics analysis, including chemokines, cytokines and growth factors, was performed on the AF samples. To determine the robustness of the markers, we used six different machine-learning techniques, including deep learning, to predict preterm delivery < 34 weeks, latency period prior to delivery < 28 days after amniocentesis and requirement for admission to a neonatal intensive care unit (NICU). Omics biomarkers were evaluated alone and in combination with standard sonographic, clinical and demographic factors to predict outcome. Predictive accuracy was assessed using the area under the receiver-operating characteristics curve (AUC) with 95% CI, sensitivity and specificity.

RESULTS

Of the 32 patients included in the study, complete omics, demographic and clinical data and outcome information were available for 26. Of these, 11 (42.3%) patients delivered ≥ 34 weeks, while 15 (57.7%) delivered < 34 weeks. There was no statistically significant difference in CL between these two groups (mean ± SD, 11.2 ± 4.4 mm vs 8.9 ± 5.3 mm, P = 0.31). Using combined omics, demographic and clinical data, deep learning displayed good to excellent performance, with an AUC (95% CI) of 0.890 (0.810-0.970) for delivery < 34 weeks' gestation, 0.890 (0.790-0.990) for delivery < 28 days post-amniocentesis and 0.792 (0.689-0.894) for NICU admission. These values were higher overall than for the other five machine-learning methods, although each individual machine-learning technique yielded statistically significant prediction of the different perinatal outcomes.

CONCLUSIONS

This is the first study to report use of AI with AF proteomics and metabolomics and ultrasound assessment in pregnancy. Machine learning, particularly deep learning, achieved good to excellent prediction of perinatal outcome in asymptomatic pregnant women with short CL in the second trimester. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.

Experience of skin disease and relationships with healthcare providers: a qualitative study of Traveller women in Ireland

BACKGROUND

Significant health disparities exist between members of the Travelling community and those of the general population. Barriers to Traveller engagement with health services include the experience or perception of discrimination, and cultural and health literacy barriers. Experience of skin disease and interactions with healthcare providers has not been widely explored in this ethnic minority. The formation of positive relationships between the Travelling community and healthcare providers is important in the promotion of treatment adherence and improving health outcomes.

OBJECTIVES

To investigate Travellers' experience of skin disease and their relationships with healthcare providers.

METHODS

Focus groups were conducted with a purposive sample of female members of the Irish Travelling community with experience of skin health issues, between January 2018 and April 2018. Three focus groups were conducted at three separate locations with 10 participants in each group. Themes were identified from the focus group transcripts using an inductive thematic analysis framework.

RESULTS

Emergent themes surrounding relationships between Travellers and healthcare providers included health literacy, discrimination, information inconsistency, trust and communication. Factors that were valued in the creation of positive relationships included an appreciation of varying degrees of health literacy, the provision of sufficient information tailored to an individual's needs and a demonstration of cultural competence.

CONCLUSIONS

Dermatologists are well placed to provide practical, customized, treatment guidance and engage patients while integrating their culturally based beliefs.