Tackling Brain and Muscle Dysfunction in Acute Respiratory Distress Syndrome Survivors: NHLBI Workshop Report.

Acute respiratory distress syndrome (ARDS) is associated with long-term impairments in brain and muscle function that significantly impact the quality of life of those who survive the acute illness. The mechanisms underlying these impairments are not yet well understood, and evidence-based interventions to minimize the burden on patients remain unproved. The NHLBI of the NIH assembled a workshop in April 2023 to review the state of the science regarding ARDS-associated brain and muscle dysfunction, to identify gaps in current knowledge, and to determine priorities for future investigation. The workshop included presentations by scientific leaders across the translational science spectrum and was open to the public as well as the scientific community. This report describes the themes discussed at the workshop as well as recommendations to advance the field toward the goal of improving the health and well-being of ARDS survivors.

Prescription of potentially inappropriate medications after an intensive care unit stay for acute respiratory failure.

BACKGROUND: Among survivors of critical illness, prescription of potentially inappropriate medications (PIM) at hospital discharge is thought to be an important, modifiable patient safety concern. To date, there are little empirical data evaluating this issue. RESEARCH QUESTION: The objective of this study was to determine the frequency of PIM prescribed to survivors of acute respiratory failure (ARF) at hospital discharge and explore their association with readmissions or death within 90 days of hospital discharge. STUDY DESIGN AND METHODS: Prospective multicenter cohort study of ARF survivors admitted to ICUs and discharged home. Prospective of new PIMs with a high-adverse-effect profile ("high impact") at discharge was the primary exposure. Potential inappropriateness was determined by a structured consensus process using Screening Tool of Older Persons' Prescriptions-Screening Tool to Alert to Right Treatment, Beers' criteria, and clinical context of prescriptions by a multidisciplinary team. Covariate balancing propensity score was used for the primary analysis. RESULTS: Of the 195 Addressing Post Intensive Care Syndrome-01 (APICS-01) patients, 169 (87%) had ≥1 new medications prescribed at discharge, with 154 (91.1%) prescribed with one or more high-impact (HI) medications. Patients were prescribed a median of 5 [3-7] medications, of which 3 [1-4] were HI. Twenty percent of HI medications were potentially inappropriate. Medications with significant central nervous system side-effects were most prescribed potentially inappropriately. Forty-six (30%) patients experienced readmission or death within 90 days of hospital discharge. After adjusting for prespecified covariates, the association between prescription of potentially inappropriate HI medications and the composite primary outcome did not meet the prespecified threshold for statistical significance (risk ratio: 0.54; 0.26-1.13; p = 0.095) or with the constituent endpoints: readmission (risk ratio: 0.57, 0.27-1.11) or death (0.7, 0.05-9.32). CONCLUSION: At hospital discharge, most ARF survivors are prescribed medications with a high-adverse-effect profile and approximately one-fifth are potentially inappropriate. Although prescription of such medications was not associated with 90-day readmissions and mortality, these results highlight an area for additional investigation.

Sounding the Alarm: What Clinicians Need to Know about Physical, Emotional, and Cognitive Recovery After Venoarterial Extracorporeal Membrane Oxygenation.

OBJECTIVE: We summarize the existing data on the occurrence of physical, emotional, and cognitive dysfunction associated with postintensive care syndrome (PICS) in adult survivors of venoarterial extracorporeal membrane oxygenation (VA-ECMO). DATA SOURCES: MEDLINE, Cochrane Library, EMBASE, Web of Science, and CINAHL databases were searched. STUDY SELECTION: Peer-reviewed studies of adults receiving VA-ECMO for any reason with at least one measure of health-related quality of life outcomes or PICS at long-term follow-up of at least 6 months were included. DATA EXTRACTION: The participant demographics and baseline characteristics, in-hospital outcomes, long-term health outcomes, quality of life outcome measures, and prevalence of PICS were extracted. DATA SYNTHESIS: Twenty-seven studies met inclusion criteria encompassing 3,271 patients who were treated with VA-ECMO. The studies were limited to single- or two-center studies. Outcomes variables and follow-up time points evaluated were widely heterogeneous which limits comprehensive analysis of PICS after VA-ECMO. In general, the longer-term PICS-related outcomes of survivors of VA-ECMO were worse than the general population, and approaching that of patients with chronic disease. Available studies identified high rates of abnormal 6-minute walk distance, depression, anxiety, and posttraumatic stress disorder that persisted for years. Half or fewer survivors return to work years after discharge. Only 2 of 27 studies examined cognitive outcomes and no studies evaluated cognitive dysfunction within the first year of recovery. No studies evaluated the impact of targeted interventions on these outcomes. CONCLUSIONS: Survivors of VA-ECMO represent a population of critically ill patients at high risk for deficits in physical, emotional, and cognitive function related to PICS. This systematic review highlights the alarming reality that PICS and in particular, neurocognitive outcomes, in survivors of VA-ECMO are understudied, underrecognized, and thus likely undertreated. These results underscore the imperative that we look beyond survival to focus on understanding the burden of survivorship with the goal of optimizing recovery and outcomes after these life-saving interventions. Future prospective, multicenter, longitudinal studies in recovery after VA-ECMO are justified.

Association Between Unmet Nonmedication Needs After Hospital Discharge and Readmission or Death Among Acute Respiratory Failure Survivors: A Multicenter Prospective Cohort Study.

OBJECTIVES: To characterize early unmet nonmedication discharge needs (UDNs), classified as durable medical equipment (DME), home health services (HHS), and follow-up medical appointments (FUAs) and explore their association with 90-day readmission and mortality among survivors of acute respiratory failure (ARF) who were discharged home. DESIGN: Prospective multicenter cohort study. SETTING: Six academic medical centers across United States. PARTICIPANTS: Adult survivors of ARF who required an ICU stay and were discharged home from hospital. INTERVENTIONS: None. Exposure of interest was the proportion of UDN for the following categories: DME, HHS, and FUA ascertained within 7-28 days after hospital discharge. MEASUREMENTS AND MAIN RESULTS: Two hundred eligible patients were recruited between January 2019 and August 2020. One-hundred ninety-five patients were included in the analytic cohort: 118 were prescribed DME, 134 were prescribed HHS, and 189 needed at least one FUA according to discharge plans. 98.4% (192/195) had at least one identified nonmedication need at hospital discharge. Median (interquartile range) proportion of unmet needs across three categories were 0 (0-15%) for DME, 0 (0-50%) for HHS, and 0 (0-25%) for FUA, and overall was 0 (0-20%). Fifty-six patients (29%) had 90-day death or readmission. After adjusting for prespecified covariates, having greater than the median level of unmet needs was not associated with an increased risk of readmission or death within 90 days of discharge (risk ratio, 0.89; 0.51-1.57; p = 0.690). Age, hospital length of stay, Acute Physiology and Chronic Health Evaluation II severity of illness score, and Multidimensional Scale Perceived Social Support score were associated with UDN. CONCLUSIONS: UDN were common among survivors of ARF but not significantly associated a composite outcome of 90-day readmission or death. Our results highlight the substantial magnitude of UDN and identifies areas especially vulnerable to lapses in healthcare coordination.

Factors Influencing Engagement with in-Person Intensive Care Unit Recovery Clinic Services.

Background: Intensive Care Unit recovery clinics (ICU-RC), are multidisciplinary outpatient clinics designed to identify and treat post-intensive care syndrome impairments unique to each survivor of critical illness. Engagement is limited, thus we aimed to describe patient- and hospitalization-related sociodemographic factors associated with scheduling and attending in-person ICU-RC visits. Design: Consecutive case series of prospectively collected ICU-RC referral data. Setting: Data was collected over a 9-year period (2012-2020) for patients referred to an ICU-RC from ICUs at an academic medical center in the southeast United States. Participants: 251 adults admitted to a medical, surgical, burn, or trauma ICU referred to the ICU-RC and eligible to be scheduled for a visit. Main Outcome and Measures: The main study outcome was scheduling and completing an ICU-RC visit. Independent variables included patient demographics, ICU visit characteristics (eg, diagnosis, ventilator days), severity of illness, discharge disposition, ICU-RC referral criteria (eg, shock, delirium), and clinic scheduling administrative data (eg, referral date, clinic visit date). Results: Of 251 ICU-RC referrals eligible for a visit, 128 were scheduled, and 91 completed a visit. In univariate models older age, unspecified shock, and distance from the clinic location were associated with decreased in-person ICU-RC engagement. In a multivariable logistic regression using the same predictors and interactions, older age, unspecified shock, and home-to-clinic distance remained as factors decreasing the likelihood of ICU-RC engagement. There was a decreasing likelihood of scheduling and attending an ICU-RC visit for every additional mile of distance the patient lived from the ICU-RC. Male sex was a strong predictor of completing an ICU-RC visit. Conclusions: Older ICU survivors and those who live farther from the clinic site are less likely to engage in an in-person ICU-RC. Innovation and telemedicine strategies are needed to improve access to ICU recovery care for these populations.

Patient and Caregiver-Derived Health Service Improvements for Better Critical Care Recovery.

OBJECTIVES: To engage critical care end-users (survivors and caregivers) to describe their emotions and experiences across their recovery trajectory, and elicit their ideas and solutions for health service improvements to improve the ICU recovery experience. DESIGN: End-user engagement as part of a qualitative design using the Framework Analysis method. SETTING: The Society of Critical Care Medicine's THRIVE international collaborative sites (follow-up clinics and peer support groups). SUBJECTS: Patients and caregivers following critical illness and identified through the collaboratives. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Eighty-six interviews were conducted. The following themes were identified: 1) Emotions and experiences of patients-"Loss of former self; Experiences of disability and adaptation"; 2) Emotions and experiences of caregivers-"Emotional impacts, adopting new roles, and caregiver burden; Influence of gender roles; Adaptation, adjustment, recalibration"; and 3) Patient and caregiver-generated solutions to improve recovery across the arc of care-"Family-targeted education; Expectation management; Rehabilitation for patients and caregivers; Peer support groups; Reconnecting with ICU post-discharge; Access to community-based supports post-discharge; Psychological support; Education of issues of ICU survivorship for health professionals; Support across recovery trajectory." Themes were mapped to a previously published recovery framework (Timing It Right) that captures patient and caregiver experiences and their support needs across the phases of care from the event/diagnosis to adaptation post-discharge home. CONCLUSIONS: Patients and caregivers reported a range of emotions and experiences across the recovery trajectory from ICU to home. Through end-user engagement strategies many potential solutions were identified that could be implemented by health services and tested to support the delivery of higher-quality care for ICU survivors and their caregivers that extend from tertiary to primary care settings.

Association between unmet medication needs after hospital discharge and readmission or death among acute respiratory failure survivors: the addressing post-intensive care syndrome (APICS-01) multicenter prospective cohort study.

INTRODUCTION: Survivors of acute respiratory failure (ARF) commonly experience long-lasting physical, cognitive, and/or mental health impairments. Unmet medication needs occurring immediately after hospital discharge may have an important effect on subsequent recovery. METHODS AND ANALYSIS: In this multicenter prospective cohort study, we enrolled ARF survivors who were discharged directly home from their acute care hospitalization. The primary exposure was unmet medication needs. The primary outcome was hospital readmission or death within 3 months after discharge. We performed a propensity score analysis, using inverse probability weighting for the primary exposure, to evaluate the exposure-outcome association, with an a priori sample size of 200 ARF survivors. RESULTS: We enrolled 200 ARF survivors, of whom 107 (53%) were female and 77 (39%) were people of color. Median (IQR) age was 55 (43-66) years, APACHE II score 20 (15-26) points, and hospital length of stay 14 (9-21) days. Of the 200 participants, 195 (98%) were in the analytic cohort. One hundred fourteen (57%) patients had at least one unmet medication need; the proportion of medication needs that were unmet was 6% (0-15%). Fifty-six (29%) patients were readmitted or died by 3 months; 10 (5%) died within 3 months. Unmet needs were not associated (risk ratio 1.25; 95% CI 0.75-2.1) with hospital readmission or death, although a higher proportion of unmet needs may have been associated with increased hospital readmission (risk ratio 1.7; 95% CI 0.96-3.1) and decreased mortality (risk ratio 0.13; 95% CI 0.02-0.99). DISCUSSION: Unmet medication needs are common among survivors of acute respiratory failure shortly after discharge home. The association of unmet medication needs with 3-month readmission and mortality is complex and requires additional investigation to inform clinical trials of interventions to reduce unmet medication needs. Study registration number: NCT03738774 . The study was prospectively registered before enrollment of the first patient.

Transitions of Care After Critical Illness-Challenges to Recovery and Adaptive Problem Solving.

OBJECTIVES: Investigate the challenges experienced by survivors of critical illness and their caregivers across the transitions of care from intensive care to community, and the potential problem-solving strategies used to navigate these challenges. DESIGN: Qualitative design-data generation via interviews and data analysis via the framework analysis method. SETTING: Patients and caregivers from three continents, identified through the Society of Critical Care Medicine's THRIVE international collaborative sites (follow-up clinics and peer support groups). SUBJECTS: Patients and caregivers following critical illness. INTERVENTIONS: Nil. MEASUREMENTS AND MAIN RESULTS: From 86 interviews (66 patients, 20 caregivers), we identified the following major themes: 1) Challenges for patients-interacting with the health system and gaps in care; managing others' expectations of illness and recovery. 2) Challenges for caregivers-health system shortfalls and inadequate communication; lack of support for caregivers. 3) Patient and caregiver-driven problem solving across the transitions of care-personal attributes, resources, and initiative; receiving support and helping others; and acceptance. CONCLUSIONS: Survivors and caregivers experienced a range of challenges across the transitions of care. There were distinct and contrasting themes related to the caregiver experience. Survivors and caregivers used comparable problem-solving strategies to navigate the challenges encountered across the transitions of care.

Functional outcomes following critical illness: epidemiology, current management strategies and the future priorities.

PURPOSE OF REVIEW: Intensive care unit (ICU) survivorship has gained significant attention over the course of the COVID-19 pandemic. In this review, we summarize the contemporary literature in relation to the epidemiology and management of post-ICU problems. RECENT FINDINGS: Survivors of critical illness can have complex physical, social, emotional and cognitive needs in the months following hospital discharge. Emerging evidence has shown that pre-ICU characteristics such as educational attainment, alongside in-ICU factors such as delirium, may contribute to worsening outcomes. Evidence regarding the impact of post-ICU recovery services is evolving, but models such as post-ICU clinics and peer support programs are gaining rapid momentum. SUMMARY: Future research should focus on modifiable risk factors and how identification and treatment of these can improve outcomes. Furthermore, rigorous evaluation of postacute critical care recovery services is necessary.

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.

OBJECTIVES: Improved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness. DATA SOURCES: A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: CRD42018117255) was undertaken on December 8, 2018, and the final searches updated on January 20, 2019. STUDY SELECTION: Four independent reviewers assessed titles and abstracts against study eligibility criteria. Studies were eligible if a prediction model was developed, validated, or updated for impairments after critical illness in adult patients. Discrepancies were resolved by consensus or an independent adjudicator. DATA EXTRACTION: Data on study characteristics, timing of outcome measurement, candidate predictors, and analytic strategies used were extracted. Risk of bias was assessed using the Prediction model Risk Of Bias Assessment Tool. DATA SYNTHESIS: Of 8,549 screened studies, three studies met inclusion. All three studies focused on the development of a prediction model to predict (1) a mental health composite outcome at 3 months post discharge, (2) return-to-pre-ICU functioning and residence at 6 months post discharge, and (3) physical function 2 months post discharge. Only one model had been externally validated. All studies had a high risk of bias, primarily due to the sample size, and statistical methods used to develop and select the predictors for the prediction published model. CONCLUSIONS: We only found three studies that developed a prediction model of any post-ICU impairment. There are several opportunities for improvement for future prediction model development, including the use of standardized outcomes and time horizons, and improved study design and statistical methodology.

Society of Critical Care Medicine's International Consensus Conference on Prediction and Identification of Long-Term Impairments After Critical Illness.

BACKGROUND: After critical illness, new or worsening impairments in physical, cognitive, and/or mental health function are common among patients who have survived. Who should be screened for long-term impairments, what tools to use, and when remain unclear. OBJECTIVES: Provide pragmatic recommendations to clinicians caring for adult survivors of critical illness related to screening for postdischarge impairments. PARTICIPANTS: Thirty-one international experts in risk-stratification and assessment of survivors of critical illness, including practitioners involved in the Society of Critical Care Medicine's Thrive Post-ICU Collaboratives, survivors of critical illness, and clinical researchers. DESIGN: Society of Critical Care Medicine consensus conference on post-intensive care syndrome prediction and assessment, held in Dallas, in May 2019. A systematic search of PubMed and the Cochrane Library was conducted in 2018 and updated in 2019 to complete an original systematic review and to identify pre-existing systematic reviews. MEETING OUTCOMES: We concluded that existing tools are insufficient to reliably predict post-intensive care syndrome. We identified factors before (e.g., frailty, preexisting functional impairments), during (e.g., duration of delirium, sepsis, acute respiratory distress syndrome), and after (e.g., early symptoms of anxiety, depression, or post-traumatic stress disorder) critical illness that can be used to identify patients at high-risk for cognitive, mental health, and physical impairments after critical illness in whom screening is recommended. We recommend serial assessments, beginning within 2-4 weeks of hospital discharge, using the following screening tools: Montreal Cognitive Assessment test; Hospital Anxiety and Depression Scale; Impact of Event Scale-Revised (post-traumatic stress disorder); 6-minute walk; and/or the EuroQol-5D-5L, a health-related quality of life measure (physical function). CONCLUSIONS: Beginning with an assessment of a patient's pre-ICU functional abilities at ICU admission, clinicians have a care coordination strategy to identify and manage impairments across the continuum. As hospital discharge approaches, clinicians should use brief, standardized assessments and compare these results to patient's pre-ICU functional abilities ("functional reconciliation"). We recommend serial assessments for post-intensive care syndrome-related problems continue within 2-4 weeks of hospital discharge, be prioritized among high-risk patients, using the identified screening tools to prompt referrals for services and/or more detailed assessments.

Randomized Clinical Trial of an ICU Recovery Pilot Program for Survivors of Critical Illness.

OBJECTIVES: To examine the effect of an interdisciplinary ICU recovery program on process measures and clinical outcomes. DESIGN: A prospective, single-center, randomized pilot trial. SETTING: Academic, tertiary-care medical center. PATIENTS: Adult patients admitted to the medical ICU for at least 48 hours with a predicted risk of 30-day same-hospital readmission of at least 15%. INTERVENTIONS: Patients randomized to the ICU recovery program group were offered a structured 10-intervention program, including an inpatient visit by a nurse practitioner, an informational pamphlet, a 24 hours a day, 7 days a week phone number for the recovery team, and an outpatient ICU recovery clinic visit with a critical care physician, nurse practitioner, pharmacist, psychologist, and case manager. For patients randomized to the usual care group, all aspects of care were determined by treating clinicians. MEASUREMENTS AND MAIN RESULTS: Among the primary analysis of enrolled patients who survived to hospital discharge, patients randomized to the ICU recovery program (n = 111) and usual care (n = 121) were similar at baseline. Patients in the ICU recovery program group received a median of two interventions compared with one intervention in the usual care group (p < 0.001). A total of 16 patients (14.4%) in the ICU recovery program group and 26 patients (21.5%) in the usual care group were readmitted to the study hospital within 30 days of discharge (p = 0.16). For these patients, the median time to readmission was 21.5 days (interquartile range, 11.5-26.2 d) in the ICU recovery program group and 7 days (interquartile range, 4-21.2 d) in the usual care group (p = 0.03). Four patients (3.6%) in the ICU recovery program and 14 patients (11.6%) in the usual care group were readmitted within 7 days of hospital discharge (p = 0.02). The composite outcome of death or readmission within 30 days of hospital discharge occurred in 20 patients (18%) in the ICU recovery program group and 36 patients (29.8%) in usual care group (p = 0.04). CONCLUSIONS: This randomized pilot trial found that a multidisciplinary ICU recovery program could deliver more interventions for post ICU recovery than usual care. The finding of longer time-to-readmission with an ICU recovery program should be examined in future trials.

Models of Peer Support to Remediate Post-Intensive Care Syndrome: A Report Developed by the Society of Critical Care Medicine Thrive International Peer Support Collaborative.

OBJECTIVES: Patients and caregivers can experience a range of physical, psychologic, and cognitive problems following critical care discharge. The use of peer support has been proposed as an innovative support mechanism. DESIGN: We sought to identify technical, safety, and procedural aspects of existing operational models of peer support, among the Society of Critical Care Medicine Thrive Peer Support Collaborative. We also sought to categorize key distinctions between these models and elucidate barriers and facilitators to implementation. SUBJECTS AND SETTING: Seventeen Thrive sites from the United States, United Kingdom, and Australia were represented by a range of healthcare professionals. MEASUREMENTS AND MAIN RESULTS: Via an iterative process of in-person and email/conference calls, members of the Collaborative defined the key areas on which peer support models could be defined and compared, collected detailed self-reports from all sites, reviewed the information, and identified clusters of models. Barriers and challenges to implementation of peer support models were also documented. Within the Thrive Collaborative, six general models of peer support were identified: community based, psychologist-led outpatient, models-based within ICU follow-up clinics, online, groups based within ICU, and peer mentor models. The most common barriers to implementation were recruitment to groups, personnel input and training, sustainability and funding, risk management, and measuring success. CONCLUSIONS: A number of different models of peer support are currently being developed to help patients and families recover and grow in the postcritical care setting.

Enablers and Barriers to Implementing ICU Follow-Up Clinics and Peer Support Groups Following Critical Illness: The Thrive Collaboratives.

OBJECTIVES: Data are lacking regarding implementation of novel strategies such as follow-up clinics and peer support groups, to reduce the burden of postintensive care syndrome. We sought to discover enablers that helped hospital-based clinicians establish post-ICU clinics and peer support programs, and identify barriers that challenged them. DESIGN: Qualitative inquiry. The Consolidated Framework for Implementation Research was used to organize and analyze data. SETTING: Two learning collaboratives (ICU follow-up clinics and peer support groups), representing 21 sites, across three continents. SUBJECTS: Clinicians from 21 sites. MEASUREMENT AND MAIN RESULTS: Ten enablers and nine barriers to implementation of "ICU follow-up clinics" were described. A key enabler to generate support for clinics was providing insight into the human experience of survivorship, to obtain interest from hospital administrators. Significant barriers included patient and family lack of access to clinics and clinic funding. Nine enablers and five barriers to the implementation of "peer support groups" were identified. Key enablers included developing infrastructure to support successful operationalization of this complex intervention, flexibility about when peer support should be offered, belonging to the international learning collaborative. Significant barriers related to limited attendance by patients and families due to challenges in creating awareness, and uncertainty about who might be appropriate to attend and target in advertising. CONCLUSIONS: Several enablers and barriers to implementing ICU follow-up clinics and peer support groups should be taken into account and leveraged to improve ICU recovery. Among the most important enablers are motivated clinician leaders who persist to find a path forward despite obstacles.

Critical Care Pharmacists and Medication Management in an ICU Recovery Center.

BACKGROUND: Many patients experience complications following critical illness; these are now widely referred to as post-intensive care syndrome (PICS). An interprofessional intensive care unit (ICU) recovery center (ICU-RC), also known as a PICS clinic, is one potential approach to promoting patient and family recovery following critical illness. OBJECTIVES: To describe the role of an ICU-RC critical care pharmacist in identifying and treating medication-related problems among ICU survivors. METHODS: A prospective, observational cohort study was conducted of all outpatient appointments of a tertiary care hospital's ICU-RC between July 2012 and December 2015. The pharmacist completed a full medication review, including medication reconciliation, interview, counseling, and resultant interventions, during the ICU-RC appointment. RESULTS: Data from all completed ICU-RC visits were analyzed (n = 62). A full medication review was performed in 56 (90%) of these patients by the pharmacist. The median number of pharmacy interventions per patient was 4 (interquartile range = 2, 5). All 56 patients had at least 1 pharmacy intervention; 22 (39%) patients had medication(s) stopped at the clinic appointment, and 18 (32%) patients had new medication(s) started. The pharmacist identified 9 (16%) patients who had an adverse drug event (ADE); 18 (32%) patients had ADE preventive measures instituted. An influenza vaccination was administered to 13 (23%) patients despite an inpatient protocol to ensure influenza vaccination prior to discharge. A pneumococcal vaccination was administered to 2 (4%) patients. CONCLUSIONS: Use of a critical care pharmacist resulted in the identification and treatment of multiple medication-related problems in an ICU-RC as well as implementation of preventive measures.

Estrogen and progesterone decrease let-7f microRNA expression and increase IL-23/IL-23 receptor signaling and IL-17A production in patients with severe asthma.

BACKGROUND: Women have an increased prevalence of severe asthma compared with men. IL-17A is associated with severe asthma and requires IL-23 receptor (IL-23R) signaling, which is negatively regulated by let-7f microRNA. OBJECTIVE: We sought to Determine the mechanism by which 17ß-estradiol (E2) and progesterone (P4) increase IL-17A production. METHODS: IL-17A production was determined by using flow cytometry in TH17 cells from women (n = 14) and men (n = 15) with severe asthma. Cytokine levels were measured by using ELISA, and IL-23R and let-7f expression was measured by using quantitative PCR in TH17-differentiated cells from healthy women (n = 13) and men (n = 14). In sham-operated or ovariectomized female mice, 17ß-E2, P4, 17ß-E2+P4, or vehicle pellets were administered for 3 weeks before ex vivo TH17 cell differentiation. Airway neutrophil infiltration and CXCL1 (KC) expression were also determined in ovalbumin (OVA)-challenged wild-type female recipient mice with an adoptive transfer of OVA-specific TH17 cells from female and male mice. RESULTS: In patients with severe asthma and healthy control subjects, IL-17A production was increased in TH17 cells from women compared with men. IL-23R expression was increased and let-7f expression was decreased in TH17-differentiated cells from women compared with men. In ovariectomized mice IL-17A and IL-23R expression was increased and Let-7f expression was decreased in TH17 cells from mice administered 17ß-E2+P4 compared with those administered vehicle. Furthermore, transfer of female OVA-specific TH17 cells increased acute neutrophil infiltration in the lungs of OVA-challenged recipient mice compared with transfer of male OVA-specific TH17 cells. CONCLUSIONS: 17ß-E2+P4 increased IL-17A production from TH17 cells, providing a potential mechanism for the increased prevalence of severe asthma in women compared with men.

Blockade of the programmed death-1 pathway restores sarcoidosis CD4(+) T-cell proliferative capacity.

RATIONALE: Effective therapeutic interventions for chronic, idiopathic lung diseases remain elusive. Normalized T-cell function is an important contributor to spontaneous resolution of pulmonary sarcoidosis. Up-regulation of inhibitor receptors, such as programmed death-1 (PD-1) and its ligand, PD-L1, are important inhibitors of T-cell function. OBJECTIVES: To determine the effects of PD-1 pathway blockade on sarcoidosis CD4(+) T-cell proliferative capacity. METHODS: Gene expression profiles of sarcoidosis and healthy control peripheral blood mononuclear cells were analyzed at baseline and follow-up. Flow cytometry was used to measure ex vivo expression of PD-1 and PD-L1 on systemic and bronchoalveolar lavage-derived cells of subjects with sarcoidosis and control subjects, as well as the effects of PD-1 pathway blockade on cellular proliferation after T-cell receptor stimulation. Immunohistochemistry analysis for PD-1/PD-L1 expression was conducted on sarcoidosis, malignant, and healthy control lung specimens. MEASUREMENTS AND MAIN RESULTS: Microarray analysis demonstrates longitudinal increase in PDCD1 gene expression in sarcoidosis peripheral blood mononuclear cells. Immunohistochemistry analysis revealed increased PD-L1 expression within sarcoidosis granulomas and lung malignancy, but this was absent in healthy lungs. Increased numbers of sarcoidosis PD-1(+) CD4(+) T cells are present systemically, compared with healthy control subjects (P < 0.0001). Lymphocytes with reduced proliferative capacity exhibited increased proliferation with PD-1 pathway blockade. Longitudinal analysis of subjects with sarcoidosis revealed reduced PD-1(+) CD4(+) T cells with spontaneous clinical resolution but not with disease progression. CONCLUSIONS: Analogous to the effects in other chronic lung diseases, these findings demonstrate that the PD-1 pathway is an important contributor to sarcoidosis CD4(+) T-cell proliferative capacity and clinical outcome. Blockade of the PD-1 pathway may be a viable therapeutic target to optimize clinical outcomes.