Heterogeneity in Quality of Life of Long-Term Colon Cancer Survivors: A Latent Class Analysis of the Population-Based PROFILES Registry.

BACKGROUND: Long-term colon cancer survivors present heterogeneous health-related quality of life (HRQOL) outcomes. We determined unobserved subgroups (classes) of survivors with similar HRQOL patterns and investigated their stability over time and the association of clinical covariates with these classes. MATERIALS AND METHODS: Data from the population-based PROFILES registry were used. Included were survivors with nonmetastatic (TNM stage I-III) colon cancer (n = 1,489). HRQOL was assessed with the Dutch translation of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 version 3.0. Based on survivors' HRQOL, latent class analysis (LCA) was used to identify unobserved classes of survivors. Moreover, latent transition analysis (LTA) was used to investigate changes in class membership over time. Furthermore, the effect of covariates on class membership was assessed using multinomial logistic regression. RESULTS: LCA identified five classes at baseline: class 1, excellent HRQOL (n = 555, 37.3%); class 2, good HRQOL with prevalence of insomnia (n = 464, 31.2%); class 3, moderate HRQOL with prevalence of fatigue (n = 213, 14.3%); class 4, good HRQOL with physical limitations (n = 134, 9.0%); and class 5, poor HRQOL (n = 123, 8.3%). All classes were stable with high self-transition probabilities. Longer time since the diagnosis, no comorbid conditions, and male sex were associated with class 1, whereas older age was associated with class 4. Clinical covariates were not associated with class membership. CONCLUSION: The identified classes are characterized by distinct patterns of HRQOL and can support patient-centered care. LCA and LTA are powerful tools for investigating HRQOL in cancer survivors. IMPLICATIONS FOR PRACTICE: Long-term colon cancer survivors show great heterogeneity in their health-related quality of life. This study identified five distinct clusters of survivors with similar patterns of health-related quality of life and showed that these clusters remain stable over time. It was also shown that these clusters do not significantly differ in tumor characteristics or received treatment. Cluster membership of long-term survivors can be identified by sociodemographic characteristics but is not predetermined by diagnosis and treatment.

A latent-class heteroskedastic hurdle trajectory model: patterns of adherence in obstructive sleep apnea patients on CPAP therapy.

BACKGROUND: Sleep apnea patients on CPAP therapy exhibit differences in how they adhere to the therapy. Previous studies have demonstrated the benefit of describing adherence in terms of discernible longitudinal patterns. However, these analyses have been done on a limited number of patients, and did not properly represent the temporal characteristics and heterogeneity of adherence. METHODS: We illustrate the potential of identifying patterns of adherence with a latent-class heteroskedastic hurdle trajectory approach using generalized additive modeling. The model represents the adherence trajectories on three aspects over time: the daily hurdle of using the therapy, the daily time spent on therapy, and the day-to-day variability. The combination of these three characteristics has not been studied before. RESULTS: Applying the proposed model to a dataset of 10,000 patients in their first three months of therapy resulted in nine adherence groups, among which 49% of patients exhibited a change in adherence over time. The identified group trajectories revealed a non-linear association between the change in the daily hurdle of using the therapy, and the average time on therapy. The largest difference between groups was observed in the patient motivation score. The adherence patterns were also associated with different levels of high residual AHI, and day-to-day variability in leakage. CONCLUSION: The inclusion of the hurdle model and the heteroskedastic model into the mixture model enabled the discovery of additional adherence patterns, and a more descriptive representation of patient behavior over time. Therapy adherence was mostly affected by a lack of attempts over time, suggesting that encouraging these patients to attempt therapy on a daily basis, irrespective of the number of hours used, could drive adherence. We believe the methodology is applicable to other domains of therapy or medication adherence.

Communicating tailored risk information of cancer treatment side effects: Only words or also numbers?

BACKGROUND: The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influences patients' risk interpretations compared to generic population-based risks, and which message format should be used to communicate such individualized statistics. METHODS: A web-based experiment was conducted in which participants (n = 141) read a hypothetical treatment decision-making scenario about four side effect risks of adjuvant chemotherapy for advanced colon cancer. Participants were cancer patients or survivors who were recruited from an online Dutch cancer patient panel. All participants received two tailored risks (of which the reference class was based on their age, gender and tumor stage) and two generic risks conveying the likelihood of experiencing the side effects. The risks were presented either in words-only ('common' and 'very common'), or in a combination of words and corresponding numerical estimates ('common, 10 out of 100' and 'very common, 40 out of 100'). Participants' estimation of the probability, accuracy of their estimation, and perceived likelihood of occurrence were primary outcomes. Perceived personal relevance and perceived uncertainty were secondary outcomes. RESULTS: Tailored risks were estimated as higher and less accurate than generic risks, but only when they were presented in words; Such differences were not found in the verbal and numerical combined condition. Although tailoring risks did not impact participants' perceived likelihood of occurrence, tailored risks were perceived as more personally relevant than generic risks in both message formats. Finally, tailored risks were perceived as less uncertain than generic risks, but only in the verbal-only condition. CONCLUSIONS: Considering current interest in the use of personalized decision aids for improving shared decision-making in oncology, it is important that clinicians consider how tailored risks of treatment side effects should be communicated to patients. We recommend both clinicians who communicate probability information during consultations, and decision aid developers, that verbal descriptors of tailored risks should be supported by numerical estimates of risks levels, to avoid overestimation of risks.

Improving manual oxygen titration in preterm infants by training and guideline implementation.

To study oxygen saturation (SpO2) targeting before and after training and guideline implementation of manual oxygen titration, two cohorts of preterm infants <30 weeks of gestation needing respiratory support and oxygen therapy were compared. The percentage of the time spent with SpO2 within the target range (85-95%) was calculated (%SpO2-wtr). SpO2 was collected every minute when oxygen is >21%. ABCs where oxygen therapy was given were identified and analyzed. After training and guideline implementation the %SpO2-wtr increased (median interquartile range (IQR)) 48.0 (19.6-63.9) % vs 61.9 (48.5-72.3) %; p < 0.005, with a decrease in the %SpO2 > 95% (44.0 (27.8-66.2) % vs 30.8 (22.6-44.5) %; p < 0.05). There was no effect on the %SpO2 < 85% (5.9 (2.8-7.9) % vs 6.2 (2.5-8) %; ns) and %SpO2 < 80% (1.9 (1.0-3.0) % vs 1.7 (0.8-2.6) %; ns). In total, 186 ABCs with oxygen therapy before and 168 ABCs after training and guideline implementation occurred. The duration of SpO2 < 80% reduced (2 (1-2) vs 1 (1-2) minutes; p < 0.05), the occurrence of SpO2 > 95% did not decrease (73% vs 64%; ns) but lasted shorter (2 (0-7) vs 1 (1-3) minute; p < 0.004). CONCLUSION: Training and guideline implementation in manual oxygen titration improved SpO2 targeting in preterm infants with more time spent within the target range and less frequent hyperoxaemia. The durations of hypoxaemia and hyperoxaemia during ABCs were shorter. What is Known: • Oxygen saturation targeting in preterm infants can be challenging and the compliance is low when oxygen is titrated manually. • Hyperoxaemia often occurs after oxygen therapy for oxygen desaturation during apnoeas. What is New: • Training and implementing guidelines improved oxygen saturation targeting and reduced hyperoxaemia. • Training and implementing guidelines improved manual oxygen titration during ABC.

Clinical outcomes of preterm infants while using automated controllers during standard care: comparison of cohorts with different automated titration strategies.

OBJECTIVE: To compare short-term clinical outcome after using two different automated oxygen controllers (OxyGenie and CLiO2). DESIGN: Propensity score-matched retrospective observational study. SETTING: Tertiary-level neonatal unit in the Netherlands. PATIENTS: Preterm infants (OxyGenie n=121, CLiO2 n=121) born between 24+0-29+6 weeks of gestation. Median (IQR) gestational age in the OxyGenie cohort was 28+3 (26+3.5-29+0) vs 27+5 (26+5-28+3) in the CLiO2 cohort, respectively 42% and 46% of infants were male and mean (SD) birth weight was 1034 (266) g vs 1022 (242) g. INTERVENTIONS: Inspired oxygen was titrated by OxyGenie (SLE6000) or CLiO2 (AVEA) during respiratory support. MAIN OUTCOME MEASURES: Mortality, retinopathy of prematurity (ROP), bronchopulmonary dysplasia and necrotising enterocolitis. RESULTS: Fewer infants in the OxyGenie group received laser coagulation for ROP (1 infant vs 10; risk ratio 0.1 (95% CI 0.0 to 0.7); p=0.008), and infants stayed shorter in the neonatal intensive care unit (NICU) (28 (95% CI 15 to 42) vs 40 (95% CI 25 to 61) days; median difference 13.5 days (95% CI 8.5 to 19.5); p<0.001). Infants in the OxyGenie group had fewer days on continuous positive airway pressure (8.4 (95% CI 4.8 to 19.8) days vs 16.7 (95% CI 6.3 to 31.1); p<0.001) and a significantly shorter days on invasive ventilation (0 (95% CI 0 to 4.2) days vs 2.1 (95% CI 0 to 8.4); p=0.012). There were no statistically significant differences in all other morbidities. CONCLUSIONS: In this propensity score-matched retrospective study, the OxyGenie epoch was associated with less morbidity when compared with the CLiO2 epoch. There were significantly fewer infants that received treatment for ROP, received less intensive respiratory support and, although there were more supplemental oxygen days, the duration of stay in the NICU was shorter. A larger study will have to replicate these findings.

Comparison of two automated oxygen controllers in oxygen targeting in preterm infants during admission: an observational study.

OBJECTIVE: To compare the effect of two different automated oxygen control devices on time preterm infants spent in different oxygen saturation (SpO2) ranges during their entire stay in the neonatal intensive care unit (NICU). DESIGN: Retrospective cohort study of prospectively collected data. SETTING: Tertiary level neonatal unit in the Netherlands. PATIENTS: Preterm infants (OxyGenie 75 infants, CLiO2 111 infants) born at 24-29 weeks' gestation receiving at least 72 hours of respiratory support between October 2015 and November 2020. INTERVENTIONS: Inspired oxygen concentration was titrated by the OxyGenie controller (SLE6000 ventilator) between February 2019 and November 2020 and the CLiO2 controller (AVEA ventilator) between October 2015 and December 2018 as standard of care. MAIN OUTCOME MEASURES: Time spent within SpO2 target range (TR, 91-95% for either epoch) and other SpO2 ranges. RESULTS: Time spent within the SpO2 TR when receiving supplemental oxygen was higher during OxyGenie control (median 71.5 [IQR 64.6-77.0]% vs 51.3 [47.3-58.5]%, p<0.001). Infants under OxyGenie control spent less time in hypoxic and hyperoxic ranges (SpO2<80%: 0.7 [0.4-1.4]% vs 1.2 [0.7-2.3]%, p<0.001; SpO2>98%: 1.0 [0.5-2.4]% vs 4.0 [2.0-7.9]%, p<0.001). Both groups received a similar FiO2 (29.5 [28.0-33.2]% vs 29.6 [27.7-32.1]%, p=not significant). CONCLUSIONS: Oxygen saturation targeting was significantly different in the OxyGenie epoch in preterm infants, with less time in hypoxic and hyperoxic SpO2 ranges during their stay in the NICU.

Communication, perception, and use of personalized side-effect risks in prostate cancer treatment-decision making: An observational and interview study.

OBJECTIVE: We investigated how healthcare professionals (HPs) communicate personalized risks of treatment side-effects to patients with localized prostate cancer during consultations, and explored how these patients perceive and use such risks during treatment decision-making. METHODS: Patient consultations with nurse practitioners and urologists discussing personalized risks of urinary incontinence after prostatectomy were audiotaped, transcribed, and coded. Patients (n = 27) were then interviewed to explore their perceptions and use of personalized side-effect risks. RESULTS: HPs explained personalized risks by discussing risk factors, which was appreciated and recalled by patients. Personalized risks were typically communicated both numerically and verbally (70%). When using numbers, HPs always used percentages, but rarely used natural frequencies (14%). Uncertainty was disclosed in only 34% of consultations. One-third of patients used personalized risks in their treatment decision-making by either switching to another treatment or sticking to their initial preference. CONCLUSIONS: Patients value and use personalized side-effect risks during treatment decision-making. Clearly explaining the relationship between risk factors and personalized risk estimates may help patients understand and recall those. Practice implications HPs should not only give patients specific and precise numerical risk information, but should also put effort in explaining how the personalized side-effect risks are determined.

Comparison of two devices for automated oxygen control in preterm infants: a randomised crossover trial.

OBJECTIVE: To compare the effect of two different automated oxygen control devices on target range (TR) time and occurrence of hypoxaemic and hyperoxaemic episodes. DESIGN: Randomised cross-over study. SETTING: Tertiary level neonatal unit in the Netherlands. PATIENTS: Preterm infants (n=15) born between 24+0 and 29+6 days of gestation, receiving invasive or non-invasive respiratory support with oxygen saturation (SpO2) TR of 91%-95%. Median gestational age 26 weeks and 4 days (IQR 25 weeks 3 days-27 weeks 6 days) and postnatal age 19 (IQR 17-24) days. INTERVENTIONS: Inspired oxygen concentration was titrated by the OxyGenie controller (SLE6000 ventilator) and the CLiO2 controller (AVEA ventilator) for 24 hours each, in a random sequence, with the respiratory support mode kept constant. MAIN OUTCOME MEASURES: Time spent within set SpO2 TR (91%-95% with supplemental oxygen and 91%-100% without supplemental oxygen). RESULTS: Time spent within the SpO2 TR was higher during OxyGenie control (80.2 (72.6-82.4)% vs 68.5 (56.7-79.3)%, p<0.005). Less time was spent above TR while in supplemental oxygen (6.3 (5.1-9.9)% vs 15.9 (11.5-30.7)%, p<0.005) but more time spent below TR during OxyGenie control (14.7 (11.8%-17.2%) vs 9.3 (8.2-12.6)%, p<0.05). There was no significant difference in time with SpO2 <80% (0.5 (0.1-1.0)% vs 0.2 (0.1-0.4)%, p=0.061). Long-lasting SpO2 deviations occurred less frequently during OxyGenie control. CONCLUSIONS: The OxyGenie control algorithm was more effective in keeping the oxygen saturation within TR and preventing hyperoxaemia and equally effective in preventing hypoxaemia (SpO2 <80%), although at the cost of a small increase in mild hypoxaemia. TRIAL REGISTRY NUMBER: NCT03877198.

Towards eHealth to support the health journey of headache patients: a scoping review.

OBJECTIVE: The aim of this study is to (1) review the digital health tools that have been used in headache studies, and (2) discuss the effectivity and reliability of these tools. BACKGROUND: Many headache patients travel a long and troublesome journey from first symptoms until a meaningful care plan. eHealth, mHealth, and digital therapeutic modalities have been advocated as the way forward to improve patient care. METHOD: Online databases PubMed, Cinahl, and PsycINFO were searched using a predefined search query. A data extraction form was used to gather relevant data elements from the selected papers. RESULTS: A total of 39 studies were selected. The studies included 94,127 participants. The majority of studies focused on diaries (N = 27 out of 39). Digital (cognitive) behavioral therapy were also quite common (N = 7 out of 39). Other digital health tool categories were tele-consultations, telemonitoring and patient portals. CONCLUSION: Many digital health tools for headache patients regarding diaries and behavioral/therapeutical treatment are described in scientific research with limited information on effectivity and reliability. Scientific knowledge with regard to other categories such as tele-consultations, patient portals, telemonitoring including medication adherence, online information resources, wearable, symptom checkers, digital peer support is still scarce or missing.

Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning.

BACKGROUND: Digital self-help interventions for reducing the use of alcohol tobacco and other drugs (ATOD) have generally shown positive but small effects in controlling substance use and improving the quality of life of participants. Nonetheless, low adherence rates remain a major drawback of these digital interventions, with mixed results in (prolonged) participation and outcome. To prevent non-adherence, we developed models to predict success in the early stages of an ATOD digital self-help intervention and explore the predictors associated with participant's goal achievement. METHODS: We included previous and current participants from a widely used, evidence-based ATOD intervention from the Netherlands (Jellinek Digital Self-help). Participants were considered successful if they completed all intervention modules and reached their substance use goals (i.e., stop/reduce). Early dropout was defined as finishing only the first module. During model development, participants were split per substance (alcohol, tobacco, cannabis) and features were computed based on the log data of the first 3 days of intervention participation. Machine learning models were trained, validated and tested using a nested k-fold cross-validation strategy. RESULTS: From the 32,398 participants enrolled in the study, 80% of participants did not complete the first module of the intervention and were excluded from further analysis. From the remaining participants, the percentage of success for each substance was 30% for alcohol, 22% for cannabis and 24% for tobacco. The area under the Receiver Operating Characteristic curve was the highest for the Random Forest model trained on data from the alcohol and tobacco programs (0.71 95%CI 0.69-0.73) and (0.71 95%CI 0.67-0.76), respectively, followed by cannabis (0.67 95%CI 0.59-0.75). Quitting substance use instead of moderation as an intervention goal, initial daily consumption, no substance use on the weekends as a target goal and intervention engagement were strong predictors of success. DISCUSSION: Using log data from the first 3 days of intervention use, machine learning models showed positive results in identifying successful participants. Our results suggest the models were especially able to identify participants at risk of early dropout. Multiple variables were found to have high predictive value, which can be used to further improve the intervention.

Tidal volumes at birth as predictor for adverse outcome in congenital diaphragmatic hernia.

OBJECTIVE: To assess the predictive value of tidal volume (Vt) of spontaneous breaths at birth in infants with congenital diaphragmatic hernia (CDH). DESIGN: Prospective study. SETTING: Tertiary neonatal intensive care unit. PATIENTS: Thirty infants with antenatally diagnosed CDH born at Hospital Sant Joan de Déu in Barcelona from September 2013 to September 2015. INTERVENTIONS: Spontaneous breaths and inflations given in the first 10 min after intubation at birth were recorded using respiratory function monitor. Only expired Vt of uninterrupted spontaneous breaths was included for analysis. Receiver operating characteristics (ROC) analysis was performed and the area under the curve (AUC) was estimated to assess the predictive accuracy of Vt. MAIN OUTCOME MEASURES: Mortality before hospital discharge and chronic lung disease (CLD) at day 28 of life. RESULTS: There were 1.233 uninterrupted spontaneous breaths measured, and the overall mean Vt was 2.8±2.1 mL/kg. A lower Vt was found in infants who died (n=14) compared with survivors (n=16) (1.7±1.6 vs 3.7±2.1 mL/kg; p=0.008). Vt was lower in infants who died during admission or had CLD (n=20) compared with survivors without CLD (n=10) (2.0±1.7 vs 4.3±2.2 mL/kg; p=0.004). ROC analysis showed that Vt ≤2.2 mL/kg predicted mortality with 79% sensitivity and 81% specificity (AUC=0.77, p=0.013). Vt ≤3.4 mL/kg was a good predictor of death or CLD (AUC=0.80, p=0.008) with 85% sensitivity and 70% specificity. CONCLUSION: Vt of spontaneous breaths measured immediately after birth is associated with mortality and CLD. Vt seems to be a reliable predictor but is not an independent predictor after adjustment for observed/expected lung to head ratio and liver position.

Communicative aspects of decision aids for localized prostate cancer treatment - A systematic review.

CONTEXT: Despite increasing interest in the development and use of decision aids (DAs) for patients with localized prostate cancer (LPC), little attention has been paid to communicative aspects (CAs) of such tools. OBJECTIVE: To identify DAs for LPC treatment, and review these tools for various CAs. MATERIALS AND METHODS: DAs were identified through both published literature (MEDLINE, Embase, CINAHL, CENTRAL, and PsycINFO; 1990-2018) and online sources, in compliance with the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. Identified DAs were reviewed for the International Patient Decision Aid Standards criteria, and analyzed on CAs, including information presentation, personalization, interaction, information control, accessibility, suitability, and source of information. Nineteen DAs were identified. RESULTS: International Patient Decision Aid Standards scores varied greatly among DAs. Crucially, substantial variations in use of CAs by DAs were identified: (1) few DAs used visual aids to communicate statistical information, (2) none were personalized in terms of outcome probabilities or mode of communication, (3) a minority used interactive methods to elicit patients' values and preferences, (4) most included biased cross tables to compare treatment options, and (5) issues were observed in suitability and accessibility that could hinder implementation in clinical practice. CONCLUSIONS: Our review suggests that DAs for LPC treatment could be further improved by adding CAs such as personalized outcome predictions and interaction methods to the DAs. Clinicians who are using or developing such tools might therefore consider these CAs in order to enhance patient participation in treatment decision-making.

Effect of Tactile Stimulation on Termination and Prevention of Apnea of Prematurity: A Systematic Review.

Apnea of prematurity (AOP) is one of the most common diagnoses in preterm infants. Severe and recurrent apneas are associated with cerebral injury and adverse neurodevelopmental outcome. Despite pharmacotherapy and respiratory support to prevent apneas, a proportion of infants continue to have apneas and often need tactile stimulation, mask, and bag ventilation and/or extra oxygen. The duration of the apnea and the concomitant hypoxia and bradycardia depends on the response time of the nurse. We systematically reviewed the literature with the aim of providing an overview of what is known about the effect of manual and mechanical tactile stimulation on AOP. Tactile stimulation, manual or mechanical, has been shown to shorten the duration of apnea, hypoxia, and or bradycardia or even prevent an apnea. Automated stimulation, using closed-loop pulsating or vibrating systems, has been shown to be effective in terminating apneas, but data are scarce. Several studies used continuous mechanical stimulation, with pulsating, vibrating, or oscillating stimuli, to prevent apneas, but the reported effect varied. More studies are needed to confirm whether automated stimulation using a closed loop is more effective than manual stimulation, how and where the automated stimulation should be performed and the potential side effects.

Effect of a smaller target range on the compliance in targeting and distribution of oxygen saturation in preterm infants.

BACKGROUND: Following recent recommendations, the oxygen saturation (SpO2) target range for preterm infants in our nursery was narrowed towards the higher end from 85%-95% to 90%-95%. We determined the effect of narrowing the SpO2 target range on the compliance in target range and distribution of SpO2 in preterm infants. METHODS: Before and after changing the target range from 85%-95% to 90%-95%, infants <30 weeks of gestation receiving oxygen were compared during their admission on the neonatal intensive care unit. For each infant, distribution of SpO2 was noted by collecting SpO2 samples each minute, and the percentage of time spent with SpO2 within 90%-95% was calculated. Oxygen was manually adjusted. Hypoxaemic events (SpO2 <80%) where oxygen was titrated were analysed. RESULTS: Data were analysed for 104 infants (57 before and 47 after the range was narrowed). The narrower range was associated with an increase in the median (IQR) SpO2 (93% (91%-96%) vs 94% (92%-97%), p=0.01), but no increase in median time SpO2 within 90%-95% (49.2% (39.6%-59.7%) vs (46.9% (27.1%-57.9%), p=0.72). The distribution of SpO2 shifted to the right with a significant decrease in SpO2 <90%, but not <80%. The count of minute values for Sp02 <80% decreased, while the frequency and duration of hypoxaemic events and oxygen titration were not different. CONCLUSION: Narrowing the target range from 85%-95% to 90%-95% in preterm infants was associated with an increase in median SpO2 and a rightward shift in the distribution, but no change in time spent between 90% and 95%.

Prognostic value of psychosocial factors for first and recurrent hospitalizations and mortality in heart failure patients: insights from the OPERA-HF study.

AIMS: Psychosocial factors are rarely collected in studies investigating the prognosis of patients with heart failure (HF), and only time to first event is commonly reported. We investigated the prognostic value of psychosocial factors for predicting first or recurrent events after discharge following hospitalization for HF. METHODS AND RESULTS: OPERA-HF is an observational study enrolling patients hospitalized for HF. In addition to clinical variables, psychosocial variables are recorded. Patients provide the information through questionnaires that include social information, depression and anxiety scores, and cognitive function. Kaplan-Meier, Cox regression and the Andersen-Gill model were used to identify predictors of first and recurrent events (readmissions or death). Of 671 patients (age 76 ± 15 years, 66% men) with 1-year follow-up, 291 had no subsequent event, 34 died without being readmitted, 346 had one or more unplanned readmissions, and 71 patients died after a first readmission. Increasing age, higher urea and creatinine, and the presence of co-morbidities (diabetes, history of myocardial infarction, chronic obstructive pulmonary disease) were all associated with increasing risk of first or recurrent events. Psychosocial variables independently associated with both the first and recurrent events were: presence of frailty, moderate-to-severe depression, and moderate-to-severe anxiety. Living alone and the presence of cognitive impairment were independently associated only with an increasing risk of recurrent events. CONCLUSION: Psychosocial factors are strongly associated with unplanned recurrent readmissions or mortality following an admission to hospital for HF. Further research is needed to show whether recognition of these factors and support tailored to individual patients' needs will improve outcomes.

Correlation and Interchangeability of Venous and Capillary Blood Gases in Non-Critically Ill Neonates.

BACKGROUND: Venous blood gas (VBG) is frequently used in the neonatal unit as alternative for capillary blood gas (CBG). However, studies reporting correlation are conflicting and data on interchangeability in neonates are lacking. OBJECTIVE: We investigated the correlation and interchangeability of the components between VBG and CBG in infants admitted to the neonatal intensive care unit. METHODS: In a prospective study in the neonatal unit in Leiden University Medical Center (Netherlands), simultaneously VBG and CBG were withdrawn in neonates when both venous puncture and intravenous access as blood gas monitoring was indicated. From each blood gas analysis, a Pearson correlation, intraclass correlation, and Bland-Altman analysis was performed. Clinically acceptable difference for each blood gas value was defined up-front by means of an absolute difference: pH ± 0.05; partial pressure of carbon dioxide (pCO2) (±0.67 kPa = 5 mmHg); partial pressure of oxygen (pO2) (±0.67 kPa = 5 mmHg); base excess ± 3 mmol/l; and bicarbonate (HCO3-) ± 3 mmol/l. RESULTS: In 93 patients [median gestational age 31 (IQR 29-34) weeks], 193 paired samples of VBG and CBG were collected. The Pearson correlation between VBG and CBG was very strong for pH (r = 0.79; P < 0.001), BE (r = 0.90; P < 0.001) and bicarbonate (r = 0.87; P < 0.001); strong for pCO2 (r = 0.68; P < 0.001); and moderate for pO2 (r = 0.31; P < 0.001). The percentage of the interchangeability within our acceptable absolute difference for pH was 88%, pCO2 72%, pO2 55%, BE 90%, and bicarbonate 94%. CONCLUSION: VBG and CBG in neonates are well correlated and mostly interchangeable, except for pO2.