Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy

Methane (CH) emissions from ruminants are of a significant environmental concern, necessitating accurate prediction for emission inventories. Existing models rely solely on dietary and host animal-related data, ignoring the predicting power of rumen microbiota, the source of CH. To address this limitation, we developed novel CH prediction models incorporating rumen microbes as predictors, alongside animal- and feed-related predictors using four statistical/machine learning (ML) methods. These include random forest combined with boosting (RF-B), least absolute shrinkage and selection operator (LASSO), generalized linear mixed model with LASSO (glmmLasso), and smoothly clipped absolute deviation (SCAD) implemented on linear mixed models. With a sheep dataset (218 observations) of both animal data and rumen microbiota data (relative sequence abundance of 330 genera of rumen bacteria, archaea, protozoa, and fungi), we developed linear mixed models to predict CH production (g CH/animal·d, ANIM-B models) and CH yield (g CH/kg of dry matter intake, DMI-B models). We also developed models solely based on animal-related data. Prediction performance was evaluated 200 times with random data splits, while fitting performance was assessed without data splitting. The inclusion of microbial predictors improved the models, as indicated by decreased root mean square prediction error (RMSPE) and mean absolute error (MAE), and increased Lin’s concordance correlation coefficient (CCC). Both glmmLasso and SCAD reduced the Akaike information criterion (AIC) and Bayesian information criterion (BIC) for both the ANIM-B and the DMI-B models, while the other two ML methods had mixed outcomes. By balancing prediction performance and fitting performance, we obtained one ANIM-B model (containing 10 genera of bacteria and 3 animal data) fitted using glmmLasso and one DMI-B model (5 genera of bacteria and 1 animal datum) fitted using SCAD. This study highlights the importance of incorporating rumen microbiota data in CH prediction models to enhance accuracy and robustness. Additionally, ML methods facilitate the selection of microbial predictors from high-dimensional metataxonomic data of the rumen microbiota without overfitting. Moreover, the identified microbial predictors can serve as biomarkers of CH emissions from sheep, providing valuable insights for future research and mitigation strategies.Te authors gratefully acknowledge funding for this project from the USDA National Institute of Food and Agriculture (Award number: 2014-67003-21979). Te animal and microbial data originated from a study funded by the Pastoral Greenhouse Gas Research Consortium (www.pggrc.co.nz)

Contemporary guideline-directed medical therapy in de novo, chronic, and worsening heart failure patients:First data from the TITRATE-HF study

Aims: Despite clear guideline recommendations for initiating four drug classes in all patients with heart failure (HF) with reduced ejection fraction (HFrEF) and the availability of rapid titration schemes, information on real-world implementation lags behind. Closely following the 2021 ESC HF guidelines and 2023 focused update, the TITRATE-HF study started to prospectively investigate the use, sequencing, and titration of guideline-directed medical therapy (GDMT) in HF patients, including the identification of implementation barriers. Methods and results: TITRATE-HF is an ongoing long-term HF registry conducted in the Netherlands. Overall, 4288 patients from 48 hospitals were included. Among these patients, 1732 presented with de novo, 2240 with chronic, and 316 with worsening HF. The median age was 71 years (interquartile range [IQR] 63–78), 29% were female, and median ejection fraction was 35% (IQR 25–40). In total, 44% of chronic and worsening HFrEF patients were prescribed quadruple therapy. However, only 1% of HFrEF patients achieved target dose for all drug classes. In addition, quadruple therapy was more often prescribed to patients treated in a dedicated HF outpatient clinic as compared to a general cardiology outpatient clinic. In each GDMT drug class, 19% to 36% of non-use in HFrEF patients was related to side-effects, intolerances, or contraindications. In the de novo HF cohort, 49% of patients already used one or more GDMT drug classes for other indications than HF. Conclusion: This first analysis of the TITRATE-HF study reports relatively high use of GDMT in a contemporary HF cohort, while still showing room for improvement regarding quadruple therapy. Importantly, the use and dose of GDMT were suboptimal, with the reasons often remaining unclear. This underscores the urgency for further optimization of GDMT and implementation strategies within HF management.</p

Medical decision making for older patients during multidisciplinary oncology team meetings

Objectives: Multidisciplinary team meetings aim to facilitate efficient and accurate communication surrounding the complex process of treatment decision making for older patients with cancer. This process is even more complicated for older (≥70 years) patients as the lack of empirical evidence on treatment regimens in patients with age-related problems such as comorbidity and polypharmacy, necessitates a patient-centred approach.This study investigates the decision making process for older patients with cancer during multidisciplinary team meetings and the extent to which geriatric evaluation and geriatric expertise contribute to this process. Methods: Non-participant observations of 171 cases (≥70 years) during 30 multidisciplinary team meetings in five hospitals and systematically analysed using a medical decision making framework. All cases were in patients with colon or rectal cancer. Results: First, not all steps from the medical decision making framework were followed. Second, we found limited use of patient-centred information such as (age-related) patient characteristics and patient preferences during the decision making process. Third, a geriatric perspective was largely missing in multidisciplinary team meetings. Conclusions: This study uncovers gaps in the treatment decision making process for older patients with cancer during multidisciplinary team meetings. In particular individual vulnerabilities and patient wishes are often neglected

Fear and forget : how anxiety impacts information recall in newly diagnosed cancer patients visiting a fast-track clinic

Introduction: One-day fast track programs for cancer diagnostics and treatment planning are increasingly being implemented in health care. Fast-track programs are highly effective at reducing waiting times, and thus well received by patients and healthcare providers. However, these programs may also burden patients, as patients generally receive a lot of information from multiple healthcare providers within a short time span. This might increase anxiety and negatively impact recall of medical information in newly diagnosed patients. This study examines whether anxiety influences information recall at the moment of diagnosis, and whether this relation differs for younger and older patients. Methods: Data were collected from 78 colorectal cancer patients visiting a one-day fast-track multidisciplinary outpatient clinic. All consultations that took place were recorded on a video. Anxiety was measured at baseline (T1) and immediately after consultations (T2) with the STAI-6. Information recall was assessed by telephone within 36–48 hours after patients’ visit (T3) using open questions. Results: After consultations (T2), 32% of patients experienced clinical anxiety levels. Patients recalled ∼60% of medical information (T3). Information recall was negatively impacted by anxiety (β = –.28, p =.011), and negatively related to higher age (β = –.23, p =.031), and lower education level (β =.27, p =.013). Although older patients (M = 53.99) recalled 11% less information than younger patients (M = 64.84), age was not related to anxiety and did not moderate the anxiety-recall relationship. Conclusion: High levels of anxiety after receiving a cancer diagnosis negatively influence how much information patients remember after visiting a one-day fast-track clinic. This calls for interventions that may reduce patients’ anxiety as much as reasonably possible and support patients’ information recall. Researchers, practitioners, and hospitals are encouraged to continue exploring ways to optimize information provision to cancer patients in current modern healthcare

Fear and forget : how anxiety impacts information recall in newly diagnosed cancer patients visiting a fast-track clinic

Introduction: One-day fast track programs for cancer diagnostics and treatment planning are increasingly being implemented in health care. Fast-track programs are highly effective at reducing waiting times, and thus well received by patients and healthcare providers. However, these programs may also burden patients, as patients generally receive a lot of information from multiple healthcare providers within a short time span. This might increase anxiety and negatively impact recall of medical information in newly diagnosed patients. This study examines whether anxiety influences information recall at the moment of diagnosis, and whether this relation differs for younger and older patients. Methods: Data were collected from 78 colorectal cancer patients visiting a one-day fast-track multidisciplinary outpatient clinic. All consultations that took place were recorded on a video. Anxiety was measured at baseline (T1) and immediately after consultations (T2) with the STAI-6. Information recall was assessed by telephone within 36–48 hours after patients’ visit (T3) using open questions. Results: After consultations (T2), 32% of patients experienced clinical anxiety levels. Patients recalled ∼60% of medical information (T3). Information recall was negatively impacted by anxiety (β = –.28, p =.011), and negatively related to higher age (β = –.23, p =.031), and lower education level (β =.27, p =.013). Although older patients (M = 53.99) recalled 11% less information than younger patients (M = 64.84), age was not related to anxiety and did not moderate the anxiety-recall relationship. Conclusion: High levels of anxiety after receiving a cancer diagnosis negatively influence how much information patients remember after visiting a one-day fast-track clinic. This calls for interventions that may reduce patients’ anxiety as much as reasonably possible and support patients’ information recall. Researchers, practitioners, and hospitals are encouraged to continue exploring ways to optimize information provision to cancer patients in current modern healthcare

Optimising eHealth tools for older patients : Collaborative redesign of a hospital website

Most hospital websites have not been developed in collaboration with patients and, therefore, rarely take into account the preferences and abilities of older patients. This study describes the systematic redesign of an existing hospital website in a co-design process with patients and professional stakeholders (e.g. researchers, physicians, nurses, department heads, policymakers, website designers), with the aim to make it more user-friendly for older patients with colorectal cancer (CRC). The redesign process consisted of three phases, where (I) both existing content and design were evaluated among CRC patients; (II) a prototype website was developed based on these insights; which (III) was evaluated again before making final adjustments. Mixed research methods were used for the redesign process. Specifically, insights from existing literature, outcomes from qualitative and quantitative empirical studies conducted by our team, and expert knowledge from relevant stakeholders, were collected and discussed in multidisciplinary consensus meetings, and served as input for the redesigned website. While the existing website was evaluated poorly, the qualitative evaluation of the prototype website in phase 3 showed that the newly redesigned website was usable for older CRC patients. A practical roadmap on how to collaboratively redesign and optimise existing eHealth tools to make them suitable for and operational in clinical settings is provided

Optimising eHealth tools for older patients : Collaborative redesign of a hospital website

Most hospital websites have not been developed in collaboration with patients and, therefore, rarely take into account the preferences and abilities of older patients. This study describes the systematic redesign of an existing hospital website in a co-design process with patients and professional stakeholders (e.g. researchers, physicians, nurses, department heads, policymakers, website designers), with the aim to make it more user-friendly for older patients with colorectal cancer (CRC). The redesign process consisted of three phases, where (I) both existing content and design were evaluated among CRC patients; (II) a prototype website was developed based on these insights; which (III) was evaluated again before making final adjustments. Mixed research methods were used for the redesign process. Specifically, insights from existing literature, outcomes from qualitative and quantitative empirical studies conducted by our team, and expert knowledge from relevant stakeholders, were collected and discussed in multidisciplinary consensus meetings, and served as input for the redesigned website. While the existing website was evaluated poorly, the qualitative evaluation of the prototype website in phase 3 showed that the newly redesigned website was usable for older CRC patients. A practical roadmap on how to collaboratively redesign and optimise existing eHealth tools to make them suitable for and operational in clinical settings is provided

Optimising eHealth tools for older patients : Collaborative redesign of a hospital website

Most hospital websites have not been developed in collaboration with patients and, therefore, rarely take into account the preferences and abilities of older patients. This study describes the systematic redesign of an existing hospital website in a co-design process with patients and professional stakeholders (e.g. researchers, physicians, nurses, department heads, policymakers, website designers), with the aim to make it more user-friendly for older patients with colorectal cancer (CRC). The redesign process consisted of three phases, where (I) both existing content and design were evaluated among CRC patients; (II) a prototype website was developed based on these insights; which (III) was evaluated again before making final adjustments. Mixed research methods were used for the redesign process. Specifically, insights from existing literature, outcomes from qualitative and quantitative empirical studies conducted by our team, and expert knowledge from relevant stakeholders, were collected and discussed in multidisciplinary consensus meetings, and served as input for the redesigned website. While the existing website was evaluated poorly, the qualitative evaluation of the prototype website in phase 3 showed that the newly redesigned website was usable for older CRC patients. A practical roadmap on how to collaboratively redesign and optimise existing eHealth tools to make them suitable for and operational in clinical settings is provided

Tailored web-based information for younger and older patients with cancer : Randomized controlled trial of a preparatory educational intervention on patient outcomes

Background: Many patients with cancer, including older patients (aged ≥65 years), consult the Web to prepare for their doctor’s visit. In particular, older patients have varying needs regarding the mode in which information is presented (eg, via textual, visual, or audiovisual modes) owing to age-related sensory (eg, impaired vision and hearing) and cognitive decline (eg, reduced processing speed). Therefore, Web-based information targeted at older patient populations is likely to be used and processed more effectively, and evaluated more positively, when tailored to age-related capabilities and preferences. This, in turn, may benefit patient outcomes. Objective: This randomized controlled trial tested the effects of a Web-based tailored educational intervention among newly diagnosed younger (<65 years) and older (≥65 years) patients with cancer. We compared the intervention group who viewed a mode-tailored website (ie, enabling patients to tailor information using textual, visual, and audiovisual modes) with 3 control groups view a nontailored website (ie, text only, text with images, and text with videos). We examined website experience outcomes (ie, website satisfaction, website involvement, knowledge, anxiety, and communication self-efficacy) and consultation experience outcomes (ie, question asking during consultation, anxiety, and information recall). Methods: Patients from a multidisciplinary outpatient clinic (N=232) viewed a mode-tailored or nontailored website as preparation before their hospital consultations to discuss diagnosis and treatment. Data were collected before (T1), during (T2), and after (T3) visitation. Website experience outcomes were assessed with questionnaires (T1). Patients’ question asking was coded from videotaped consultations, and anxiety was assessed through a questionnaire (T2). Telephone interviews were conducted to assess knowledge acquired from the website before (T1) and after consultation (T3), and information recall from the consultation (T3). Results: The preparatory website was well used across all conditions (mean 34 min). Younger patients viewing the mode-tailored website were more satisfied before consultation (P=.02) and reported lower anxiety after consultation (P=.046; vs text only). This pattern was not found in older patients. Mode tailoring yielded no other significant differences in patient outcomes. Regression analyses showed that website involvement (beta=.15; P=.03) and, to a lesser extent, website satisfaction (beta=.15; P=.05) positively associated with knowledge before consultation (T1). In turn, higher knowledge before consultation (beta=.39; P<.001), together with time on the website (beta=.21; P=.002; T1), predicted information recall from consultations (T3). Patients with higher knowledge before consultation (T1) also reported higher knowledge from the website afterward (T3; beta=.22; P=.003). Conclusions: Offering preparatory online information before consultations benefits information processing and patient outcomes of both younger and older newly diagnosed patients with cancer. Younger patients benefit even more when information is offered in a mode-tailored manner. We discuss the theoretical, methodological, and practical implications for patient-provider communication research in an electronic health era