Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations.

OBJECTIVE: Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the likelihood of an intervention to address an abnormal finding. Our retrospective observational study evaluated the presence of variation in glucose measurements in the Intensive Care Unit (ICU). METHODS: Using the MIMIC-IV database (2008-2019), a single-center, academic referral hospital in Boston (USA), we identified adult patients meeting sepsis-3 criteria. Exclusion criteria were diabetic ketoacidosis, ICU length of stay under 1 day, and unknown race or ethnicity. We performed a logistic regression analysis to assess differential likelihoods of glucose measurements on day 1. A negative binomial regression was fitted to assess the frequency of subsequent glucose readings. Analyses were adjusted for relevant clinical confounders, and performed across three disparity proxy axes: race and ethnicity, sex, and English proficiency. RESULTS: We studied 24,927 patients, of which 19.5% represented racial and ethnic minority groups, 42.4% were female, and 9.8% had limited English proficiency. No significant differences were found for glucose measurement on day 1 in the ICU. This pattern was consistent irrespective of the axis of analysis, i.e. race and ethnicity, sex, or English proficiency. Conversely, subsequent measurement frequency revealed potential disparities. Specifically, males (incidence rate ratio (IRR) 1.06, 95% confidence interval (CI) 1.01 - 1.21), patients who identify themselves as Hispanic (IRR 1.11, 95% CI 1.01 - 1.21), or Black (IRR 1.06, 95% CI 1.01 - 1.12), and patients being English proficient (IRR 1.08, 95% CI 1.01 - 1.15) had higher chances of subsequent glucose readings. CONCLUSION: We found disparities in ICU glucose measurements among patients with sepsis, albeit the magnitude was small. Variation in disease monitoring is a source of data bias that may lead to spurious correlations when modeling health data.

Racial Disparities in Invasive ICU Treatments Among Septic Patients: High Resolution Electronic Health Records Analysis from MIMIC-IV.

Background: Low-resolution administrative databases can give biased results, whereas high-resolution, time-stamped variables from clinical databases like MIMIC-IV might provide nuanced insights. We evaluated racial-ethnic disparities in life-sustaining ICU-treatments (Invasive Mechanical Ventilation (IMV), Renal Replacement Therapy (RRT), and Vasopressors (VP)) among patients with sepsis. Methods: In this observational retrospective cohort study, patients fulfilling sepsis-3 criteria were categorized by treatment assignment within the first 4 days. The outcomes were treatment allocations. The likelihood of receiving treatment was calculated by race-ethnicity (Racial-ethnic group (REG) or White group (WG)) using 5-fold sub-sampling nested logistic regression and XGBoost. Results: In 23,914 admissions, 82% were White, 42% were women. REG were less likely to receive IMV across all eligibility days (day 1 odds ratio (OR) 0.87, 95% confidence interval (CI) 0.83-0.94, day 4 OR 0.80, 95% CI 0.72 - 0.87). There were no differences in RRT (day 1 OR 1.00, 95% CI 0.96-1.09, day 4 OR 1.00, 95% CI 0.94-1.06). REG were also less likely to be treated with VP at days 1 to 3 (day 1 OR 0.87, 95% CI 0.76-0.94), but not at day 4 (OR 0.95, 95% CI 0.87-1.01). These findings remained robust when relaxing eligibility criteria for treatment allocation. Conclusion: Our findings reveal significant disparities in the use of invasive life-saving ICU treatments among septic patients from racial and ethnic minority backgrounds, particularly with respect to IMV and VP use. These disparities underscore not only the need to address inequality in critical care settings, but also highlight the importance of high-resolution data.

Call, chosen, HA2T2, ANDC: validation of four severity scores in COVID-19 patients.

PURPOSE: To externally validate four previously developed severity scores (i.e., CALL, CHOSEN, HA2T2 and ANDC) in patients with COVID-19 hospitalised in a tertiary care centre in Switzerland. METHODS: This observational analysis included adult patients with a real-time reverse-transcription polymerase chain reaction or rapid-antigen test confirmed severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection hospitalised consecutively at the Cantonal Hospital Aarau from February to December 2020. The primary endpoint was all-cause in-hospital mortality. The secondary endpoint was disease progression, defined as needing invasive ventilation, ICU admission or death. RESULTS: From 399 patients (mean age 66.6 years ± 13.4 SD, 68% males), we had complete data for calculating the CALL, CHOSEN, HA2T2 and ANDC scores in 297, 380, 151 and 124 cases, respectively. Odds ratios for all four scores showed significant associations with mortality. The discriminative power of the HA2T2 score was higher compared to CALL, CHOSEN and ANDC scores [area under the curve (AUC) 0.78 vs. 0.65, 0.69 and 0.66, respectively]. Negative predictive values (NPV) for mortality were high, particularly for the CALL score (≥ 6 points: 100%, ≥ 9 points: 95%). For disease progression, discriminative power was lower, with the CHOSEN score showing the best performance (AUC 0.66). CONCLUSION: In this external validation study, the four analysed scores had a lower performance compared to the original cohorts regarding prediction of mortality and disease progression. However, all scores were significantly associated with mortality and the NPV of the CALL and CHOSEN scores in particular allowed reliable identification of patients at low risk, making them suitable for outpatient management.

Glucose control after glucocorticoid administration in hospitalized patients - a retrospective analysis.

BACKGROUND: Glucocorticoid (GC)-induced hyperglycemia is a frequent adverse effect in hospitalized patients. Guidelines recommend insulin treatment to a target range of 6-10 mmol/L (108-180 mg/dl), but efficacies of particular regimes have not been well-studied. METHODS: In this retrospective cohort study, hospitalized patients receiving GCs at the medical ward were analyzed by treatment (basal-bolus vs. bolus-only vs. pre-mixed insulin) and compared to a non-insulin-therapy reference group. Coefficients of glucose variation (CV), percentage of glucose readings in range (4-10 mmol/L (72-180 mg/dl)) and hypoglycemia (< 4 mmol/L (< 72 mg/dl)) were evaluated. RESULTS: Of 2424 hospitalized patients receiving systemic GCs, 875 (36%) developed GC-induced hyperglycemia. 427 patients (17%) had a previous diagnosis of diabetes. Adjusted relative risk ratios (RRR) for the top tertile of CV (> 29%) were 1.47 (95% Cl 1.01-2.15) for bolus-only insulin, 4.77 (95% CI 2.67-8.51) for basal-bolus insulin, and 4.98 (95% CI 2.02-12.31) for premixed insulin, respectively. Adjusted RRR for percentages of glucose readings in range were 0.98 (95% Cl 0.97-0.99) for basal-bolus insulin, 0.99 (95% Cl 0.98-1.00) for premixed insulin, and 1.01 (95% Cl 1.00-1.01) for bolus-only insulin, respectively. Adjusted RRR for hypoglycemia was 13.17 (95% Cl 4.35-39.90) for basal-bolus insulin, 8.92 (95% Cl 2.60-30.63) for premixed insulin, and 2.99 (95% Cl 1.01-8.87) for bolus-only insulin, respectively. CONCLUSIONS: Current guidelines recommend a basal-bolus regimen for treatment of GC-induced hyperglycemia, but we found similar outcomes with pre-mixed and bolus-only insulin regimens. As GC-induced hyperglycemia is a frequent issue in hospitalized patients, it might be reasonable to prospectively study the ideal regimen.

Quality of life after hospitalization predicts one-year readmission risk in a large Swiss cohort of medical in-patients.

PURPOSE: Estimating the probability of readmission following hospitalization using prediction scores can be complex. Quality of life (QoL) may provide an easy and effective alternative. METHODS: Secondary analysis of the prospective "TRIAGE" cohort. All medical in-patients admitted to a Swiss tertiary care institution (2016-2019) ≥18 years with a length of stay of ≥2 days (23,309 patients) were included. EQ-5D VAS, EQ-5D index, and Barthel index were assessed at a single telephone interview 30-day after admission. Patients lost to follow-up were excluded. Readmission was defined as a non-elective hospital stay at our institution >24 h within 1 year after discharge and assessed using area under the curve (AUC) analysis with adjustment for confounders. RESULTS: 12,842 patients (43% females, median age 68, IQR 55-78) were included. Unadjusted discrimination was modest at 0.59 (95% CI 0.56-0.62) for EQ-5D VAS. Partially adjusted discrimination (for gender) was identical. Additional adjustment for insurance, Charlson comorbidity index, length of stay, and native language increased the AUC to 0.66 (95% CI 0.63-0.69). Results were robust irrespective of time to event (12, 6 or 3 months). A cut-off in the unadjusted model of EQ-5D VAS of 55 could separate cases with a specificity of 80% and a sensitivity of 30%. CONCLUSION: QoL at day 30 after admission can predict one-year readmission risk with similar precision as more intricate tools. It might help for identification of high-risk patients and the design of tailored prevention strategies.

What Are They Worth? Six 30-Day Readmission Risk Scores for Medical Inpatients Externally Validated in a Swiss Cohort.

BACKGROUND: Several clinical risk scores for unplanned 30-day readmission have been published, but there is a lack of external validation and head-to-head comparison. OBJECTIVE: Retrospective replication of six clinical risk scores (LACE, HOSPITAL, SEMI, RRS, PARA, Tsui et al.)f DESIGN: Models were fitted with the original intercept and beta coefficients as reported. Otherwise, a logistic model was refitted (SEMI and Tsui et al). We performed subgroup analyses on main admission specialty. This report adheres to the TRIPOD statement for reporting of prediction models. PARTICIPANTS: We used our prospective cohort of 15,639 medical patients from a Swiss tertiary care institution from 2016 through 2018. MAIN MEASURES: Thirty-day readmission rate and area under the curve (AUC < 0.50 worse than chance, > 0.70 acceptable, > 0.80 excellent) CONCLUSIONS: Among several readmission risk scores, HOSPITAL, PARA, and the score from Tsui et al. showed the best predictive abilities and have high potential to improve patient care. Interventional research is now needed to understand the effects of these scores when used in clinical routine. KEY RESULTS: Among the six risk scores externally validated, calibration of the models was overall poor with overprediction of events, except for the HOSPITAL and the PARA scores. Discriminative abilities (AUC) were as follows: LACE 0.53 (95% CI 0.50-0.56), HOSPITAL 0.73 (95% CI 0.72-0.74), SEMI 0.47 (95% CI 0.46-0.49), RRS 0.64 (95% CI 0.62-0.66), PARA 0.72 (95% CI 0.72-0.74), and the score from Tsui et al. 0.73 (95% CI 0.72-0.75). Performance in subgroups did not differ from the overall performance, except for oncology patients in the PARA score (0.57, 95% CI 0.54-0.60), and nephrology patients in the SEMI index (0.25, 95% CI 0.18-0.31), respectively.

Metabolomics and Their Ability to Distinguish Thyroid Disorders: A Retrospective Pilot Study.

Early diagnosis of thyroid disorders is key to further treatment. We assessed the ability of a high-throughput proton NMR metabolomic profile to distinguish disease type amongst of Graves' disease (n=87), Hashimoto's thyroiditis (n=17), toxic goiter (n=11), and autoimmune thyroiditis [i. e., subacute thyroiditis (n=4), postpartum thyroiditis (n=1)]. This observational study was conducted investigating patients presenting with a thyroid disorder at a Swiss hospital endocrine referral center and an associated endocrine outpatient clinic. The main outcome was diagnosis of thyroid disorder based on classical parameters. Blood draws took place as close as possible to treatment initiation. We performed one-way ANOVA and partial least squares discriminant analysis (PLS-DA) as multivariate classification and feature ranking method. One-way ANOVA analysis yielded following significantly different metabolites, triglycerides in small VLDL, triglycerides in very small VLDL, and triglycerides in large LDL (FDR=0.04). There was no distinct separation of any of the 4 diagnoses by PLS-DA. We did not find a metabolomic biomarker combination capable of predicting diagnosis. Preanalytical issues might have influenced our results. We strongly suggest replicating our work in another cohort.

Comparison of Five TSH-Receptor Antibody Assays in Graves' disease: results from an observational pilot study.

BACKGROUND: Early diagnosis and relapse prediction in Graves' disease influences treatment. We assessed the abilities of four TSH-receptor antibody tests [TRAb] and one cyclic adenosine monophosphate bioassay to predict relapse of Graves' disease. METHODS: Observational study investigating patients presenting with Graves' disease at a Swiss hospital endocrine referral center or an endocrine outpatient clinic. Main outcomes were diagnosis and relapse of Graves' disease after stop of anti-thyroid drugs. We used Cox regression to study associations of TRAb levels with relapse risk and calculated c-statistics [AUC] to assess discrimination. Blood draws took place as close as possible to treatment initiation. RESULTS: AUCs ranged from 0.90 (TSAb Biossay by RSR) to 0.97 (IMMULITE TSI by Siemens). Highest sensitivity (94.0%) was observed for IMMULITE TSI and RSR TRAb Fast, while the greatest specificity (97.9%) was found with the EliA anti-TSH-R (by Thermo Fisher). In Cox regression analysis comparing the highest versus the lower quartiles, the highest hazard ratio [HR] for relapse was found for BRAHMS TRAK (by Thermo Fisher) (2.98, 95% CI 1.13-7.84), IMMULITE TSI (2.40, 95% CI 0.91-6.35), EliA anti-TSH-R (2.05, 95% CI 0.82-5.10), RSR Fast TRAb (1.80, 95% CI 0.73-4.43), followed by RSR STIMULATION (1.18, 95% CI 0.46-2.99). Discrimination analyses showed respective AUCs of 0.68, 0.65, 0.64, 0.64, and 0.59. CONCLUSION: The assays tested had good diagnostic power and relapse risk prediction with few differences among the new assays. Due to the small sample size and retrospective design with possible selection bias, our data need prospective validation.

Is Graves' disease a primary immunodeficiency? New immunological perspectives on an endocrine disease.

BACKGROUND: Uncertainty about factors influencing the susceptibility and triggers for Graves' disease persists, along with a wide variation in the response to anti-thyroid drugs, currently at approximately 50% of non-responders. The aim of this narrative review is to summarize immunological concepts, with a combined endocrine and immunological perspective, to highlight potential new areas of research. MAIN TEXT: Relevant studies were identified through a systematic literature search using the PubMed and EMBASE databases in March 2016. No cut-offs regarding dates were imposed. We used the terms "Graves' Disease" or "Basedow" or "thyrotoxicosis" together with the terms "etiology", "pathophysiology", "immunodeficiency", "causality", and "autoimmunity". The terms "orbitopathy", "ophthalmopathy", and "amiodarone" were excluded. Articles in English, French, German, Croatian, Spanish, and Italian were eligible for inclusion. CONCLUSIONS: While concepts such as the impact of iodine, smoking, human leucocyte antigen, infections, and ethnicity are established, new ideas have emerged. Pertaining evidence suggests the involvement of autoimmunity and immunodeficiency in the pathophysiology of Graves' disease. Recent studies point to specific immunological mechanisms triggering the onset of disease, which may also serve as targets for more specific therapies.

DIAGNOSTIC ACCURACY OF BASAL CORTISOL LEVEL TO PREDICT ADRENAL INSUFFICIENCY IN COSYNTROPIN TESTING: RESULTS FROM AN OBSERVATIONAL COHORT STUDY WITH 804 PATIENTS.

OBJECTIVE: Adrenocorticotrophic hormone (ACTH) stimulation testing is the current standard for assessing primary and secondary adrenal insufficiency (AI). We aimed to investigate the value of basal cortisol level for prediction of AI. METHODS: We retrospectively analyzed 804 consecutive patients who had high-dose (250 µg, HDT) or low-dose (1 µg, LDT) ACTH testing as part of their diagnostic work-up. Site-specific cut-off levels for AI were <550 in and <500 nmol/L in HDT and LDT, respectively. RESULTS: Overall, 70/400 (17.5%) in the LDT group and 118/404 (29.2%) in the HDT group showed an insufficient increase of cortisol and were categorized as AI. The receiver operating characteristic curve analysis showed an overall area under the curve (AUC) for basal cortisol of 0.88, which was comparable in LDT (area under the curve [AUC] 0.88) and HDT (AUC 0.88). If basal cortisol levels were ≥450 nmol/L (n = 234/804, 29.1%), the negative predictive value to rule out AI was 98.7%. If cortisol was ≤100 nmol/L (n = 69/804, 8.6%) the positive predictive value was 93.2% to rule in AI. There was a minimal additional value of the 30-minute cortisol level in HDT as compared to the 60-minute result, as well as for delta values. CONCLUSION: Basal cortisol levels ≤100 and ≥450 nmol/L were found in almost half of patients tested for possible AI and had high diagnostic accuracy, abolishing the need for formal ACTH testing. The 30-minute cortisol value in HDT did not increase diagnostic accuracy. These data may help guide clinicians when testing can safely be omitted, thereby reducing expenses and simplifying test protocols. ABBREVIATIONS: ACTH = adrenocorticotropic hormone AI = adrenal insufficiency AUC = area under the curve CI = confidence interval HDT = high-dose test HPA axis = hypothalamus-pituitary-adrenal axis ITT = insulin tolerance test LDT = low-dose test NR = normal responders LR+/- = positive/negative likelihood ratio NPV = negative predictive value PPV = positive predictive value.

The association between urinary phytoestrogen excretion and components of the metabolic syndrome in NHANES.

BACKGROUND: Metabolic syndrome is a major risk factor for cardiovascular diseases, which are still the major cause of death in developed countries. METHODS: We cross-sectionally studied the association between urinary phytoestrogen excretion and metabolic cardiovascular risk factors. Hence, we used data from the National Health and Nutrition Examination Survey from 1999 to 2004 with 1,748 participants, who had urine levels of isoflavones and lignans measured. Geometric means of waist circumference, blood pressure, fasting glucose, HDL cholesterol, and triglyceride levels were computed by quartiles of isoflavone or lignan urinary excretion. Outcome was assessed as the presence of metabolic syndrome according to NCEP-ATP III criteria. The association between phytoestrogen concentration and the metabolic syndrome was calculated using logistic regression analyses. RESULTS: Plasma triglyceride and HDL cholesterol levels were lower in participants in the highest quartile of lignan excretion compared with the lowest (both P < 0.01). However, blood pressure, waist circumference, and plasma glucose levels did not differ significantly between extreme quartiles. The presence of metabolic syndrome was lower with increasing levels of urinary lignans (OR 0.48, 95% CI 0.28; 0.80 top vs. bottom quartile), especially when separately computed for the excretion of enterolactone (OR 0.47, 95% CI 0.28; 0.78). There was no significant association between isoflavone excretion and any component of the metabolic syndrome. CONCLUSIONS: Our study shows that an increasing excretion of lignans, especially enterolactone, might be associated with a decreased presence of the metabolic syndrome.

Trends in antidiabetes medication use among hospitalised patients with type 2 diabetes: a retrospective single-centre cohort study.

OBJECTIVES: Novel antidiabetes medications with proven cardiovascular or renal benefit, such as sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1 RA), have been introduced to the market. This study explored the 4-year trends of antidiabetes medication use among medical hospitalisations with type 2 diabetes (T2D). DESIGN: Retrospective cohort study. SETTING: Tertiary care hospital in Switzerland. PARTICIPANTS: 4695 adult hospitalisations with T2D and prevalent or incident use of one of the following antidiabetes medications (metformin, dipeptidyl peptidase-4 inhibitors (DPP-4i), sulfonylureas, GLP-1 RA, SGLT-2i, short-acting insulin or long-acting insulin), identified using electronic health record data. Quarterly trends in use of antidiabetes medications were plotted overall and stratified by cardiovascular disease (CVD) and chronic kidney disease (CKD). RESULTS: We observed a stable trend in the proportion of hospitalisations with T2D who received any antidiabetes medication (from 77.6% during 2019 to 78% in 2022; p for trend=0.97). In prevalent users, the largest increase in use was found for SGLT-2i (from 7.4% in 2019 to 21.8% in 2022; p for trend <0.01), the strongest decrease was observed for sulfonylureas (from 11.4% in 2019 to 7.2% in 2022; p for trend <0.01). Among incident users, SGLT-2i were the most frequently newly prescribed antidiabetes medication with an increase from 26% in 2019 to 56.1% in 2022 (p for trend <0.01). Between hospital admission and discharge, SGLT-2i also accounted for the largest increase in prescriptions (+5.1%; p<0.01). CONCLUSIONS: These real-world data from 2019 to 2022 demonstrate a significant shift in antidiabetes medications within the in-hospital setting, with decreased use of sulfonylureas and increased prescriptions of SGLT-2i, especially in hospitalisations with CVD or CKD. This trend aligns with international guidelines and indicates swift adaptation by healthcare providers, signalling a move towards more effective diabetes management.

Treatment of glucocorticoid- induced hyperglycemia in hospitalized patients - a systematic review and meta- analysis.

PURPOSE: Glucocorticoid (GC)-induced hyperglycemia is a frequent issue, however there are no specific guidelines for this diabetes subtype. Although treat-to-target insulin is recommended in general to correct hyperglycemia, it remains unclear which treatment strategy has a positive effect on outcomes. We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) to assess whether treating GC-induced hyperglycemia improves clinical outcomes. METHODS: MEDLINE and EMBASE were systematically searched for RCTs on adults reporting treatment and outcomes of GC-induced hyperglycemia since the beginning of the data bases until October 21, 2023. Glucose-lowering strategies as compared to usual care were investigated. RESULTS: We found 17 RCTs with 808 patients and included seven trials in the quantitative analysis. Patients with an intensive glucose-lowering strategy had lower standardized mean glucose levels of - 0.29 mmol/l (95%CI -0.64 to -0.05) compared to usual care group patients. There was no increase in hypoglycemic events in the intensively treated groups (RR 0.91, 95%CI 0.70-1.17). Overall, we did not have enough trials reporting clinical outcomes for a quantitative analysis with only one trial reporting mortality. CONCLUSION: In GC-induced hyperglycemia, tight glucose control has a moderate effect on mean glucose levels with no apparent harmful effect regarding hypoglycemia. There is insufficient data whether insulin treatment improves clinical outcomes, and data on non-insulin based treatment regimens are currently too sparse to draw any conclusions. SYSTEMATIC REVIEW REGISTRATION: Registered as CRD42020147409 at PROSPERO ( https://www.crd.york.ac.uk/prospero/ ) on April 28, 2020.

BOLD: Blood-gas and Oximetry Linked Dataset.

Pulse oximeters measure peripheral arterial oxygen saturation (SpO2) noninvasively, while the gold standard (SaO2) involves arterial blood gas measurement. There are known racial and ethnic disparities in their performance. BOLD is a dataset that aims to underscore the importance of addressing biases in pulse oximetry accuracy, which disproportionately affect darker-skinned patients. The dataset was created by harmonizing three Electronic Health Record databases (MIMIC-III, MIMIC-IV, eICU-CRD) comprising Intensive Care Unit stays of US patients. Paired SpO2 and SaO2 measurements were time-aligned and combined with various other sociodemographic and parameters to provide a detailed representation of each patient. BOLD includes 49,099 paired measurements, within a 5-minute window and with oxygen saturation levels between 70-100%. Minority racial and ethnic groups account for ~25% of the data - a proportion seldom achieved in previous studies. The codebase is publicly available. Given the prevalent use of pulse oximeters in the hospital and at home, we hope that BOLD will be leveraged to develop debiasing algorithms that can result in more equitable healthcare solutions.

Prevalence, Risk Factors and Outcomes Associated with Physical Restraint in Acute Medical Inpatients over 4 Years-A Retrospective Cohort Study.

BACKGROUND: Physical restraints are frequently used in acute care hospitals. Their application is associated with negative outcomes, while their intended preventive effect is debated. OBJECTIVES: To determine the prevalence of physical restraints and associated outcomes on medical wards in a tertiary care hospital. METHODS: Retrospective cohort study (January 2018 to December 2021). We included all adult medical in-patients and excluded patients with admission to the intensive care unit, short stays (length of stay (LOS) < 48 h), and patients declining informed consent. RESULTS: Of 11,979 admissions, the prevalence of patients with at least one restraint was 6.4% (n = 772). Sensor mats were used most frequently (73.0%, n = 666), followed by blanket restrictions (14.5%, n = 132), bedrails (8.8%, n = 80) and belts (3.7%, n = 34). On average, restraints were applied 19 h (standard deviation (SD) ± 161) before a fall. Average restraint duration was 42 h (SD ± 57). Patients with a restraint had longer LOS 8 days (IQR 5-14) vs. 5 days (IQR 3-9). Median nurses' time expenditure was 309 h (IQR 242-402) vs. 182 h (IQR 136-243) for non-restrained patients. Patients with restraints fell more often (22.5% vs. 2.7%) and were more likely to die (13.3% vs. 5.1%). These differences persisted after adjusting a regression model for important clinical confounders. We saw a decline in the duration of restraints over the years, but no variation between wards. CONCLUSION: Approximately 6% of medical patients, mostly older and severely ill, were affected by restraint use. For the first time, we report data over 4 years up to ward-level granularity.

Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study.

BACKGROUND: Harmful in-hospital falls with subsequent injuries often cause longer stays and subsequently higher costs. Early identification of fall risk may help in establishing preventive strategies. OBJECTIVE: To assess the predictive ability of different clinical scores including the Post-acute care discharge (PACD) score and nutritional risk screening score (NRS), and to develop a new fall risk score (FallRS). METHODS: A retrospective cohort study of medical in-patients of a Swiss tertiary care hospital from January 2016 to March 2022. We tested the ability of the PACD score, NRS and FallRS to predict a fall by using the area under curve (AUC). Adult patients with a length of stay of ≥ 2 days were eligible. RESULTS: We included 19,270 admissions (43% females; median age, 71) of which 528 admissions (2.74%) had at least one fall during the hospital stay. The AUC varied between 0.61 (95% confidence interval (CI), 0.55-0.66) for the NRS and 0.69 (95% CI, 0.64-0.75) for the PACD score. The combined FallRS score had a slightly better AUC of 0.70 (95% CI, 0.65-0.75) but was more laborious to compute than the two other scores. At a cutoff of 13 points, the FallRS had a specificity of 77% and a sensitivity of 49% in predicting falls. CONCLUSIONS: We found that the scores focusing on different aspects of clinical care predicted the risk of falls with fair accuracy. A reliable score with which to predict falls could help in establishing preventive strategies for reducing in-hospital falls. Whether or not the scores presented have better predictive ability than more specific fall scores do will need to be validated in a prospective study.

Comparison of Cardiovascular Procedure Rates in Patients With Supplementary vs Basic Insurance in Switzerland.

Importance: Switzerland's mandatory health insurance provides universal coverage, but residents can opt for supplementary private insurance for nonessential, nonvital amenities. It is debated whether people with supplementary private insurance receive overtreatment due to financial incentives. Objective: To assess whether incidence rates of cardiovascular procedures in people with supplementary private insurance are higher than in those with basic insurance only. Design, Setting, and Participants: A population-based weighted cohort comparative effectiveness study, using administrative claims data from Switzerland assessing incidence rates (IRs), was conducted in adults undergoing a nonemergency cardiovascular inpatient procedure from January 1, 2012, to December 31, 2020. Analysis included primary or secondary discharge procedure codes for 1 of the following: percutaneous transluminal coronary angioplasty (PTCA), left atrial appendage (LAA) occlusion, patent foramen ovale (PFO) closure, transcatheter aortic valve replacement (TAVR), mitral valve clip implantation, cardiac pacemaker implantation, and atrial fibrillation/atrial flutter ablation. Exposures: Supplementary private health insurance. Main Outcomes and Measures: Incidence rates of cardiovascular procedures between insurance groups calculated by negative binomial regression adjusted by inverse probability weights. Results: Of 590 919 admissions (median age, 68 years; IQR, 57-77 years), 55.5% male, 15.7% non-Swiss nationality), 70.1% had basic insurance only. Independent of insurance status, IR for all cardiovascular procedures steadily increased over the study years. In general, people with supplementary private insurance received cardiovascular procedures more frequently (IR ratio [IRR], 1.11; 99% CI, 1.10-1.11) than people with basic insurance only. There was also an increase for every procedure: PTCA (IRR, 1.12; 99% CI, 1.12-1.13), LAA closure (IRR, 1.15; 99% CI, 1.13-1.16), mitral valve clip implantation (IRR, 1.08; 99% CI, 1.07-1.09), TAVR (IRR, 1.04; 99% CI, 1.03-1.06), PFO closure (IRR, 1.01; 99% CI, 1.00-1.02), pacemaker implantation (IRR, 1.08; 99% CI, 1.07-1.09), and atrial fibrillation/atrial flutter ablation (IRR, 1.12; 99% CI, 1.11-1.12). Sensitivity analyses, including side procedures, stratification by length of stay, and propensity score matching, suggested robustness of the results. Conclusions and Relevance: This study found an association between supplementary private insurance and a higher likelihood of receiving nonemergency cardiovascular procedures. Whether this higher rate of procedures in people with supplementary private insurance is based on clinical reasoning or due to financial incentives warrants further exploration.

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations.

Objective: Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the likelihood of an intervention to address an abnormal finding. Our retrospective observational study evaluated the presence of variation in glucose measurements in the Intensive Care Unit (ICU). Methods: Using the MIMIC-IV database (2008-2019), a single-center, academic referral hospital in Boston (USA), we identified adult patients meeting sepsis-3 criteria. Exclusion criteria were diabetic ketoacidosis, ICU length of stay under 1 day, and unknown race or ethnicity. We performed a logistic regression analysis to assess differential likelihoods of glucose measurements on day 1. A negative binomial regression was fitted to assess the frequency of subsequent glucose readings. Analyses were adjusted for relevant clinical confounders, and performed across three disparity proxy axes: race and ethnicity, sex, and English proficiency. Results: We studied 24,927 patients, of which 19.5% represented racial and ethnic minority groups, 42.4% were female, and 9.8% had limited English proficiency. No significant differences were found for glucose measurement on day 1 in the ICU. This pattern was consistent irrespective of the axis of analysis, i.e. race and ethnicity, sex, or English proficiency. Conversely, subsequent measurement frequency revealed potential disparities. Specifically, males (incidence rate ratio (IRR) 1.06, 95% confidence interval (CI) 1.01 - 1.21), patients who identify themselves as Hispanic (IRR 1.11, 95% CI 1.01 - 1.21), or Black (IRR 1.06, 95% CI 1.01 - 1.12), and patients being English proficient (IRR 1.08, 95% CI 1.01 - 1.15) had higher chances of subsequent glucose readings. Conclusion: We found disparities in ICU glucose measurements among patients with sepsis, albeit the magnitude was small. Variation in disease monitoring is a source of data bias that may lead to spurious correlations when modeling health data.

Barakat syndrome diagnosed decades after initial presentation.

Summary: Barakat syndrome, also called HDR syndrome, is a rare genetic disorder encompassing hypoparathyroidism (H), sensorineural deafness (D) and renal disease (R). A 64-year-old woman was referred to our endocrinology clinic for a switch in treatment (from dihydrotachysterol to calcitriol). She had progressive sensorineural deafness since the age of 18 and idiopathic hypoparathyroidism diagnosed at age of 36. Her medical history included osteoporosis with hip/spine fractures, nephrolithiasis and a family history of hearing loss, osteoporosis and kidney disease. The patient's clinical presentation indicated Barakat syndrome. Genetic analysis found a GATA3:c.916C>T nonsense variant. Further tests such as audiometry, labs and renal imaging supported the diagnosis. Due to rarity and manifold symptoms, diagnosis can be challenging. Optional GATA3 testing was suggested in 2018, except in cases of isolated sensorineural deafness or renal disease with pertinent family history. In isolated 'H' cases without 'D' and 'R', GATA3 studies are not required, as no haploinsufficiency cases were reported. Given the rise in genetic disorders, physicians should consistently consider rare genetic disorders in patients with suggestive symptoms, even decades after onset. Although diagnosis might not always impact management directly, it aids patients in accepting their condition and has broader family implications. Learning points: There is currently an important increase in genetic and clinical characterization of new orphan diseases and their causative agents. Unbiased re-evaluation for possible genetic disorders is necessary at every consultation. It is essential to recognize the differential diagnosis of idiopathic hypoparathyroidism. The patient's clinical presentation and family history can be important to establish the correct diagnosis. Physicians should not hesitate to search a patient's signs and symptoms online.