Latent Tuberculosis Infection Testing Practices in a Large US Integrated Healthcare System.

BACKGROUND: Tuberculosis (TB) is a public health threat, with >80% of active TB in the United States occurring due to reactivation of latent TB infection (LTBI). We may be underscreening those with high risk for LTBI and overtesting those at lower risk. A better understanding of gaps in current LTBI testing practices in relation to LTBI test positivity is needed. METHODS: This study, conducted between 1 January 2008 and 31 December 2019 at Kaiser Permanente Southern California, included individuals aged ≥18 years without a history of active TB. We examined factors associated with LTBI testing and LTBI positivity. RESULTS: Among 3 816 884 adults (52% female, 37% White, 37% Hispanic, mean age 43.5 years [standard deviation, 16.1]), 706 367 (19%) were tested for LTBI, among whom 60 393 (9%) had ≥1 positive result. Among 1 211 971 individuals who met ≥1 screening criteria for LTBI, 210 025 (17%) were tested for LTBI. Factors associated with higher adjusted odds of testing positive included male sex (1.32; 95% confidence interval, 1.30-1.35), Asian/Pacific Islander (2.78, 2.68-2.88), current smoking (1.24, 1.20-1.28), diabetes (1.13, 1.09-1.16), hepatitis B (1.45, 1.34-1.57), hepatitis C (1.54, 1.44-1.66), and birth in a country with an elevated TB rate (3.40, 3.31-3.49). Despite being risk factors for testing positive for LTBI, none of these factors were associated with higher odds of LTBI testing. CONCLUSIONS: Current LTBI testing practices may be missing individuals at high risk of LTBI. Additional work is needed to refine and implement screening guidelines that appropriately target testing for those at highest risk for LTBI.

Prior Screening for Latent Tuberculosis Among Patients Diagnosed With Tuberculosis Disease: Missed Opportunities?

Background: California has the largest number of tuberculosis (TB) disease cases in the United States. This study in a large California health system assessed missed opportunities for latent tuberculosis (LTBI) screening among patients with TB disease. Methods: Kaiser Permanente Southern California patients who were ≥18 years old with membership for ≥24 months during the study period from 1 January 2008 to 31 December 2019 were included. Prior LTBI test (tuberculin skin test or interferon-γ release assay) or diagnosis code prior to TB disease diagnosis was assessed among patients with observed TB disease (confirmed by polymerase chain reaction and/or culture). In the absence of current treatment practices, more patients screened for LTBI may have developed TB disease. We estimated hypothetical TB disease cases prevented by multiplying LTBI progression rates by the number of LTBI-positive patients prescribed treatment. Results: A total of 1289 patients with observed TB disease were identified; 148 patients were LTBI positive and 84 were LTBI negative. Patients not prescreened for LTBI made up 82.0% of observed TB disease cases (1057/1289). Adding the hypothetical maximum estimate for prevented cases decreased the percentage of patients who were not prescreened for LTBI to 61.7% [1057/(1289 + 424)]. Conclusions: One-fifth of patients were screened for LTBI prior to their active TB diagnosis. Assuming the upper bound of cases prevented through current screening, almost 62% of TB disease patients were never screened for LTBI. Future work to elucidate gaps in LTBI screening practices and to identify opportunities to improve screening guidelines is needed.

Evaluation of the Strengthening a Palliative Approach in Long Term Care (SPA-LTC) programme: a protocol of a cluster randomised control trial.

INTRODUCTION: Despite the high mortality rates in long-term care (LTC) homes, most do not have a formalised palliative programme. Hence, our research team has developed the Strengthening a Palliative Approach in Long Term Care (SPA-LTC) programme. The goal of the proposed study is to examine the implementation and effectiveness of the SPA-LTC programme. METHODS AND ANALYSIS: A cross-jurisdictional, effectiveness-implementation type II hybrid cluster randomised control trial design will be used to assess the SPA-LTC programme for 18 LTC homes (six homes within each of three provinces). Randomisation will occur at the level of the LTC home within each province, using a 1:1 ratio (three homes in the intervention and control groups). Baseline staff surveys will take place over a 3-month period at the beginning for both the intervention and control groups. The intervention group will then receive facilitated training and education for staff, and residents and their family members will participate in the SPA-LTC programme. Postintervention data collection will be conducted in a similar manner as in the baseline period for both groups. The overall target sample size will be 594 (297 per arm, 33 resident/family member participants per home, 18 homes). Data collection and analysis will involve organisational, staff, resident and family measures. The primary outcome will be a binary measure capturing any emergency department use in the last 6 months of life (resident); with secondary outcomes including location of death (resident), satisfaction and decisional conflict (family), knowledge and confidence implementing a palliative approach (staff), along with implementation outcomes (ie, feasibility, reach, fidelity and perceived sustainability of the SPA-LTC programme). The primary outcome will be analysed via multivariable logistic regression using generalised estimating equations. Intention-to-treat principles will be used in the analysis. ETHICS AND DISSEMINATION: The study has received ethical approval. Results will be disseminated at various presentations and feedback sessions; at provincial, national and international conferences, and in a series of manuscripts that will be submitted to peer-reviewed, open access journals. TRIAL REGISTRATION NUMBER: NCT039359.

Real-World Evidence to Supplement Randomized Clinical Trials: Tocilizumab for Severe COVID-19 Pneumonia vs. a Cohort Receiving Standard of Care.

Randomized controlled trials (RCTs) remain the gold standard for evaluating treatment efficacy, but real-world evidence can supplement RCT results. Tocilizumab was not found to reduce 28-day mortality in a phase III, double-blind, placebo-controlled trial (COVACTA) among hospitalized patients with severe coronavirus disease 2019 (COVID-19) pneumonia. We created a real-world external comparator arm mirroring the COVACTA trial to confirm findings and assess the feasibility of using an external comparator arm to supplement an RCT. Eligible COVACTA participants in both the tocilizumab treatment and placebo arms were matched 1:1 using propensity score matching to persons without tocilizumab exposure in an external comparator arm. Adjusted Cox proportional hazard models estimated differences in 28-day mortality comparing COVACTA participants to matched external comparator arm participants. Patients in the COVACTA tocilizumab treatment arm had a similar risk of death compared with patients in the external comparator arm (hazard ratio (HR): 1.09, 95% confidence interval (CI): 0.64-1.84) with similar estimated 28-day mortality in the COVACTA tocilizumab treatment arm compared with the external comparator arm (18%, 95% CI: 13-24 vs. 19%, 95% CI: 13-24, P > 0.9). COVACTA placebo treatment arm participants had a similar risk of mortality (adjusted HR: 0.69, 95% CI: 0.32-1.46) compared with the external comparator arm. Using an external comparator arm has the potential to supplement RCT data and support results of primary RCT analyses.

Feasibility and Pilot Outcomes of the Move More @ Work Intervention Designed to Encourage Employees to be Physically Active for 2 Minutes After Every 30 Minutes of Sitting.

OBJECTIVE: The aim of the study is to evaluate the feasibility of a workplace intervention supporting employees to interrupt sitting time with short bouts of activity (termed an opportunity to move [OTM]). METHODS: Using an interrupted time series design, 58 sedentary employees provided baseline assessments of physical activity, health, and work-related outcomes and completed the 12-week intervention. Assessments were repeated immediately and 12 weeks after intervention. Focus groups explored intervention acceptability. RESULTS: Accelerometer data showed no change in the number of OTMs taken before to after intervention, while participants self-reported 62-69% intervention adherence. Physical activity at work, productivity, and musculoskeletal health improved but cardiometabolic health and psychological well-being did not. Intervention components were viewed favorably (pending amendments), but taking an OTM every 30 minutes was not feasible. CONCLUSIONS: The Move More @ Work intervention has potential, but adaptations are required to increase adherence.

Increased vaccine sensitivity of an emerging SARS-CoV-2 variant.

Host immune responses are a key source of selective pressure driving pathogen evolution. Emergence of many SARS-CoV-2 lineages has been associated with enhancements in their ability to evade population immunity resulting from both vaccination and infection. Here we show diverging trends of escape from vaccine-derived and infection-derived immunity for the emerging XBB/XBB.1.5 Omicron lineage. Among 31,739 patients tested in ambulatory settings in Southern California from December, 2022 to February, 2023, adjusted odds of prior receipt of 2, 3, 4, and ≥5 COVID-19 vaccine doses were 10% (95% confidence interval: 1-18%), 11% (3-19%), 13% (3-21%), and 25% (15-34%) lower, respectively, among cases infected with XBB/XBB.1.5 than among cases infected with other co-circulating lineages. Similarly, prior vaccination was associated with greater point estimates of protection against progression to hospitalization among cases with XBB/XBB.1.5 than among non-XBB/XBB.1.5 cases (70% [30-87%] and 48% [7-71%], respectively, for recipients of ≥4 doses). In contrast, cases infected with XBB/XBB.1.5 had 17% (11-24%) and 40% (19-65%) higher adjusted odds of having experienced 1 and ≥2 prior documented infections, respectively, including with pre-Omicron variants. As immunity acquired from SARS-CoV-2 infection becomes increasingly widespread, fitness costs associated with enhanced vaccine sensitivity in XBB/XBB.1.5 may be offset by increased ability to evade infection-derived host responses.

Latent Tuberculosis Infection Treatment Practices in Two Large Integrated Health Systems in California, 2009-2018.

Background: Treatment of latent tuberculosis infection (LTBI) is highly effective at preventing active tuberculosis (TB) disease. Understanding LTBI treatment practices in US health system settings is critical to identify opportunities to improve treatment prescription, initiation, and completion, and thus to prevent TB disease. Methods: We assessed LTBI treatment practices among a cohort of adults after their first positive LTBI test (tuberculin skin test [TST] or interferon gamma release assay [IGRA]) between 2009 and 2018 at 2 large integrated health systems in California. We described the prescription, initiation, and completion of LTBI treatment (isoniazid [INH], rifampin, and rifamycin-INH short-course combinations) by demographic and clinical characteristics. We used multivariable robust Poisson regression to examine factors that were independently associated with treatment prescription and completion. Results: Among 79 302 individuals with a positive LTBI test, 33.0% were prescribed LTBI treatment, 28.3% initiated treatment, and 18.5% completed treatment. Most individuals were prescribed INH (82.0%), but treatment completion was higher among those prescribed rifamycin-INH short-course combinations (69.6% for INH + rifapentine and 70.3% for INH + rifampin) compared with those prescribed INH (56.3%) or rifampin (56.6%). In adjusted analyses, treatment prescription and completion were associated with older age, female sex, more comorbidities, immunosuppression, not being born in a high-TB incidence country, and testing positive with IGRA vs TST. Conclusions: LTBI treatment is underutilized, requiring tailored interventions to support treatment prescription and completion for patients with LTBI.

All-Cause and Cardiovascular-Related Mortality in CKD Patients With and Without Heart Failure: A Population-Based Cohort Study in Kaiser Permanente Southern California.

Rationale & Objective: Heart failure and chronic kidney disease (CKD) frequently coexist reflective of the strong interplay between these organ systems. A better understanding of the prevalence of different types of heart failure (preserved and reduced ejection fraction) and their subsequent mortality risks among advanced CKD patients would provide important epidemiologic insights and may pave the way for more focused and proactive management strategies. Study Design: Retrospective cohort study. Setting & Population: Patients aged ≥18 years with incident CKD (estimated glomerular filtration rate ≤45 mL/min/1.73 m2) with and without heart failure in a large integrated health care system in Southern California. Exposure: Heart failure, heart failure with preserved ejection fraction (HFpEF), heart failure with reduced ejection fraction (HFrEF). Outcomes: All-cause and cardiovascular-related mortality within one year of CKD identification. Analytical Approach: HRs were estimated using Cox proportional-hazards model for risk of all-cause mortality and Fine-Gray subdistribution hazard model for risk of cardiovascular-related mortality within 1 year. Results: The study cohort included 76,688 patients with incident CKD between 2007 and 2017, of which 14,249 (18.6%) had prevalent heart failure. Among these patients, 8,436 (59.2%) had HFpEF and 3,328 (23.3%) had HFrEF. Compared with patients without heart failure, the HR for 1-year all-cause mortality was 1.70 (95% CI, 1.60-1.80) among patients with heart failure. The HRs were 1.59 (95% CI, 1.48-1.70) for patients with HFpEF and 2.43 (95% CI, 2.23-2.65) for patients with HFrEF. Compared with patients without heart failure, the 1-year cardiovascular-related mortality HR for patients with heart failure was 6.69 (95% CI, 5.93-7.54). Cardiovascular-related mortality HR was even higher among those with HFrEF (HR, 11.47; 95% CI, 9.90-13.28). Limitations: Retrospective design with a short 1-year follow-up period. Additional variables including medication adherence, medication changes, and time-varying variables were not accounted for in this intention-to-treat analysis. Conclusions: Among patients with incident CKD, heart failure was highly prevalent with HFpEF accounting for over 70% among patients with known ejection fraction. Although the presence of heart failure was associated with higher 1-year all-cause and cardiovascular-related mortality, patients with HFrEF were the most vulnerable.

Patient-Reported Barriers to Treatment Initiation and Completion for Latent Tuberculosis Infection Among Patients Within a Large Integrated Health Care System in Southern California.

OBJECTIVE: More than 80% of active tuberculosis in the United States is due to reactivation of latent tuberculosis infection (LTBI), which can be prevented via screening and treatment. Treatment initiation and completion rates are low for patients with LTBI in the United States, and the barriers to successful treatment are poorly understood. DESIGN: We conducted semistructured qualitative interviews with 38 patients who were prescribed LTBI treatment (9 months isoniazid, 6 months rifampin, or 3 months rifamycin-isoniazid short-course combinations). We used purposeful sampling employing a maximum variation approach to obtain diverse perspectives of patients who did not initiate treatment, who did not complete treatment, and who completed treatment (n = 14, n = 16, and n = 8, respectively). Patients were asked about LTBI knowledge, experience regarding treatment, interactions with providers, and barriers they faced. Using a team coding model (2 coders/analysts), we developed deductively derived (a priori) codes based on our central research questions and inductively derived codes that emerged directly from the data. Analysis of our coding categories and relationships generated a hierarchy of key themes and subthemes. SETTING: Kaiser Permanente Southern California. PARTICIPANTS: Individuals 18 years or older who received a diagnosis of LTBI and prescribed treatment. MAIN OUTCOME MEASURES: LTBI knowledge, attitudes toward LTBI, attitudes toward LTBI treatment, attitudes toward providers, and explanation of barriers. RESULTS: Most patients reported having limited knowledge of LTBI. In addition to the duration of treatment, barriers to initiation and completion included perceived lack of support, uncomfortable side effects, and pervasive minimization of the positive impact of treatment on their health. Many patients felt there was little incentive to overcome barriers. CONCLUSIONS: Overall, patient experience with LTBI treatment initiation and completion could be improved with patient-centered treatment and more frequent follow-ups.

Effectiveness of nirmatrelvir-ritonavir in preventing hospital admissions and deaths in people with COVID-19: a cohort study in a large US health-care system.

BACKGROUND: In the USA, oral nirmatrelvir-ritonavir is authorised for use in patients aged 12 years or older with mild-to-moderate COVID-19 who are at risk of progression to severe disease and hospitalisation. We aimed to establish the effectiveness of nirmatrelvir-ritonavir in preventing hospital admissions and death in people with COVID-19 in an outpatient prescribing context in the USA. METHODS: In this matched observational outpatient cohort study in the Kaiser Permanente Southern California (CA, USA) health-care system, data were extracted from electronic health records of non-hospitalised patients aged 12 years or older who received a positive SARS-CoV-2 PCR test result (their index test) between April 8 and Oct 7, 2022, and had not received another positive test result within the preceding 90 days. We compared outcomes between people who received nirmatrelvir-ritonavir and those who did not receive nirmatrelvir-ritonavir by matching cases by date, age, sex, clinical status (including care received, the presence or absence of acute COVID-19 symptoms at testing, and time from symptom onset to testing), vaccination history, comorbidities, health-care seeking during the previous year, and BMI. Our primary endpoint was the estimated effectiveness of nirmatrelvir-ritonavir in preventing hospital admissions or death within 30 days of a positive test for SARS-CoV-2. FINDINGS: 7274 nirmatrelvir-ritonavir recipients and 126 152 non-recipients with positive SARS-CoV-2 tests were included in our study. 5472 (75·2%) treatment recipients and 84 657 (67·1%) non-recipients were tested within 5 days of symptom onset. Nirmatrelvir-ritonavir had an overall estimated effectiveness of 53·6% (95% CI 6·6-77·0) in preventing hospital admission or death within 30 days of a positive test for SARS-CoV-2, which increased to 79·6% (33·9-93·8) when nirmatrelvir-ritonavir was dispensed within 5 days of symptom onset. Within the subgroup of patients tested within 5 days of symptom onset and whose treatment was dispensed on the day of their test, the estimated effectiveness of nirmatrelvir-ritonavir was 89·6% (50·2-97·8). INTERPRETATION: In a setting with high levels of COVID-19 vaccine uptake, nirmatrelvir-ritonavir effectively reduced the risk of hospital admission or death within 30 days of a positive outpatient SARS-CoV-2 test. FUNDING: US Centers for Disease Control and Prevention and US National Institutes of Health.

Association of SARS-CoV-2 BA.4/BA.5 Omicron lineages with immune escape and clinical outcome.

Expansion of the SARS-CoV-2 BA.4 and BA.5 Omicron subvariants in populations with prevalent immunity from prior infection and vaccination, and associated burden of severe COVID-19, has raised concerns about epidemiologic characteristics of these lineages including their association with immune escape or severe clinical outcomes. Here we show that BA.4/BA.5 cases in a large US healthcare system had at least 55% (95% confidence interval: 43-69%) higher adjusted odds of prior documented infection than time-matched BA.2 cases, as well as 15% (9-21%) and 38% (27-49%) higher adjusted odds of having received 3 and ≥4 COVID-19 vaccine doses, respectively. However, after adjusting for differences in epidemiologic characteristics among cases with each lineage, BA.4/BA.5 infection was not associated with differential risk of emergency department presentation, hospital admission, or intensive care unit admission following an initial outpatient diagnosis. This finding held in sensitivity analyses correcting for potential exposure misclassification resulting from unascertained prior infections. Our results demonstrate that the reduced severity associated with prior (BA.1 and BA.2) Omicron lineages, relative to the Delta variant, has persisted with BA.4/BA.5, despite the association of BA.4/BA.5 with increased risk of breakthrough infection among previously vaccinated or infected individuals.

The Effect of Neonatal Sepsis on Risk of Autism Diagnosis.

OBJECTIVE: The study aimed to examine the association between neonatal sepsis and autism risk among children and whether the risk varied with the timing of exposure, child's sex, and race/ethnicity. STUDY DESIGN: We conducted a retrospective cohort study using electronic health records (EHR) extracted from Kaiser Permanente Southern California Health Care System. Mother-child dyads were constructed by linking records of children born to member mothers and continuing to receive care through the system during the follow-up period with those of their biological mothers (n = 469,789). Clinical health records were used to define neonatal sepsis. Diagnosis of autism was made by medical specialists. Potential confounders included maternal sociodemographic factors, obstetrical history, child's age, sex, race/ethnicity, and maternal and child medical history. Incident rates and adjusted hazard ratios (aHR) were used to estimate the associations. RESULTS: Compared with children without the diagnosis of autism, children with the condition were more likely to be from Asian/Pacific Islander descent and male sex. Exposed children showed higher rates of autism as compared with unexposed children (3.43 vs. 1.73 per 1,000 person-years, aHR: 1.67-95% confidence interval [CI]: 1.39-2.00). Both preterm (aHR: 1.47; 95% CI: 1.09-1.98) and term (aHR: 1.63; 95% CI: 1.29-2.06) births were associated with increased risk for autism. Although the magnitude of the HRs and incidence ratios for neonatal sepsis to increase autism risk varied between race ethnicities, neonatal sepsis was associated with significantly increased likelihood of autism diagnosis for all race-ethic groups except for Asian/Pacific Islanders. Although neonatal sepsis was associated with significantly increased autism risk for both boys and girls, incident rates and HR point estimates suggested that the effect may be stronger in girls. CONCLUSION: Neonatal sepsis is associated with increased risk of autism diagnosis in preterm- and term-born children. The association was significant for both girls and boys and all race ethnicities except for Asian-Pacific Islanders. KEY POINTS: · Neonatal sepsis is associated with increased risk of autism diagnosis.. · The association was significant in preterm- and term-born children.. · The association was significant for all race/ethnicities except for Asian-Pacific Islanders..

Effectiveness of nirmatrelvir-ritonavir against hospital admission or death: a cohort study in a large US healthcare system.

BACKGROUND: In the United States, oral nirmatrelvir-ritonavir (PaxlovidTM) is authorized for use among patients aged 12+ years with mild-to-moderate SARS-CoV-2 infection who are at risk for progression to severe COVID-19, including hospitalization. However, effectiveness under current real-world prescribing practices in outpatient settings is unclear. METHODS: We undertook a matched observational cohort study of non-hospitalized cases with SARS-CoV-2 infection to compare outcomes among those who received or did not receive nirmatrelvir-ritonavir within the Kaiser Permanente Southern California healthcare system. Cases were matched on testing date, age, sex, clinical status (including care received, presence or absence of acute COVID-19 symptoms at testing, and time from symptom onset to testing), history of vaccination, Charlson comorbidity index, prior-year healthcare utilization, and body mass index. Primary analyses evaluated effectiveness of nirmatrelvir-ritonavir in preventing hospital admission or death within 30 days after a positive test. Secondary analyses evaluated effectiveness against intensive care unit admission, mechanical ventilation, or death within 60 days after a positive test. We measured treatment effectiveness as (1-adjusted hazards ratio [aHR])*100%, estimating the aHR via Cox proportional hazards models. RESULTS: Analyses included 7,274 nirmatrelvir-ritonavir recipients and 126,152 non-recipients with positive results from SARS-CoV-2 tests undertaken in outpatient settings between 8 April and 7 October, 2022. Overall, 114,208 (85.6%) and 81,739 (61.3%) of 133,426 participants had received 2+ and 3+ COVID-19 vaccine doses, respectively. A total of 111,489 (83.6% of 133,426) cases were symptomatic at the point of testing, with 5,472 (75.2% of 7,274) treatment recipients and 84,657 (67.1% of 126,152) non-recipients testing within 0-5 days after symptom onset. Effectiveness in preventing hospital admission or death within 30 days after a positive test was 79.6% (95% confidence interval: 33.9% to 93.8%) for cases dispensed nirmatrelvir-ritonavir within 0-5 days after symptom onset; within the subgroup of cases tested 0-5 days after symptom onset and dispensed treatment on the day of their test, effectiveness was 89.6% (50.2% to 97.8%). Effectiveness declined to 43.8% (-33.3% to 81.7%) for treatment course dispensed 6+ days after symptom onset or to cases who were not experiencing acute clinical symptoms. Overall, for cases dispensed treatment at any time within their clinical course, effectiveness was 53.6% (6.6% to 77.0%). Effectiveness in preventing the secondary endpoint of intensive care unit admission, mechanical ventilation, or death within 60 days after a positive test was 89.2% (-25.0% to 99.3%) for cases dispensed treatment 0-5 days after symptom onset and 84.1% (18.8% to 96.9%) for cases dispensed treatment at any time. Subgroup analyses identified similar effectiveness estimates among cases who had received 2+ or 3+ COVID-19 vaccine doses. IMPLICATIONS: In a setting with high levels of COVID-19 vaccine and booster uptake, receipt of nirmatrelvir-ritonavir 0-5 days after symptom onset was associated with substantial reductions in risk of hospital admission or death within 30 days after a positive outpatient SARS-CoV-2 test.

Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System.

BACKGROUND: Natural language processing (NLP) of unstructured text from electronic medical records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large-scale studies demonstrating the real-world application and validation of NLP for this purpose are limited. OBJECTIVE: The aim of this paper is to assess the contribution of NLP when identifying COVID-19 signs and symptoms from EMR. METHODS: This study was conducted in Kaiser Permanente Southern California, a large integrated health care system using data from all patients with positive SARS-CoV-2 laboratory tests from March 2020 to May 2021. An NLP algorithm was developed to extract free text from EMR on 12 established signs and symptoms of COVID-19, including fever, cough, headache, fatigue, dyspnea, chills, sore throat, myalgia, anosmia, diarrhea, vomiting or nausea, and abdominal pain. The proportion of patients reporting each symptom and the corresponding onset dates were described before and after supplementing structured EMR data with NLP-extracted signs and symptoms. A random sample of 100 chart-reviewed and adjudicated SARS-CoV-2-positive cases were used to validate the algorithm performance. RESULTS: A total of 359,938 patients (mean age 40.4 [SD 19.2] years; 191,630/359,938, 53% female) with confirmed SARS-CoV-2 infection were identified over the study period. The most common signs and symptoms identified through NLP-supplemented analyses were cough (220,631/359,938, 61%), fever (185,618/359,938, 52%), myalgia (153,042/359,938, 43%), and headache (144,705/359,938, 40%). The NLP algorithm identified an additional 55,568 (15%) symptomatic cases that were previously defined as asymptomatic using structured data alone. The proportion of additional cases with each selected symptom identified in NLP-supplemented analysis varied across the selected symptoms, from 29% (63,742/220,631) of all records for cough to 64% (38,884/60,865) of all records with nausea or vomiting. Of the 295,305 symptomatic patients, the median time from symptom onset to testing was 3 days using structured data alone, whereas the NLP algorithm identified signs or symptoms approximately 1 day earlier. When validated against chart-reviewed cases, the NLP algorithm successfully identified signs and symptoms with consistently high sensitivity (ranging from 87% to 100%) and specificity (94% to 100%). CONCLUSIONS: These findings demonstrate that NLP can identify and characterize a broad set of COVID-19 signs and symptoms from unstructured EMR data with enhanced detail and timeliness compared with structured data alone.

Retrospective cohort study to assess the association between treatment with tocilizumab and mortality among mechanically ventilated patients with COVID-19.

OBJECTIVES: Assess the association between tocilizumab administration and clinical outcomes among mechanically ventilated patients with COVID-19 pneumonia. DESIGN: Retrospective cohort study. SETTING: Large integrated health system with 9 million members in California, USA. PARTICIPANTS: 4185 Kaiser Permanente members hospitalised with COVID-19 pneumonia requiring invasive mechanical ventilation (IMV). INTERVENTIONS: Receipt of tocilizumab within 10 days of initiation of IMV. OUTCOME MEASURES: Using a retrospective cohort of consecutive patients hospitalised with COVID-19 pneumonia who required IMV in a large integrated health system in California, USA, we assessed the association between tocilizumab administration and 28-day mortality, time to extubation from IMV and time to hospital discharge. RESULTS: Among 4185 patients, 184 received tocilizumab and 4001 patients did not receive tocilizumab within 10 days of initiation of IMV. After inverse probability weighting, baseline characteristics were well balanced between groups. Patients treated with tocilizumab had a similar risk of death in the 28 days after intubation compared with patients not treated with tocilizumab (adjusted HR (aHR), 1.21, 95% CI 0.98 to 1.50), but did have a significantly longer time-to-extubation (aHR 0.71; 95% CI 0.57 to 0.88) and time-to-hospital-discharge (aHR 0.66; 95% CI 0.50 to 0.88). However, patients treated with tocilizumab ≤2 days after initiation of IMV had a similar risk of mortality (aHR 1.47; 95% CI 0.96 to 2.26), but significantly shorter time-to-extubation (aHR 0.37; 95% CI 0.23 to 0.58) and time-to-hospital-discharge (aHR 0.31; 95% CI CI 0.17 to 0.56) compared with patients treated with tocilizumab 3-10 days after initiation of IMV. CONCLUSIONS: Among mechanically ventilated patients with COVID-19, the risk of death in the 28-day follow-up period was similar, but time-to-extubation and time-to-hospital-discharge were longer in patients who received tocilizumab within 10 days of initiation of IMV compared with patients who did not receive tocilizumab.

Development and validation of a prediction algorithm to identify birth in countries with high tuberculosis incidence in two large California health systems.

OBJECTIVE: Though targeted testing for latent tuberculosis infection ("LTBI") for persons born in countries with high tuberculosis incidence ("HTBIC") is recommended in health care settings, this information is not routinely recorded in the electronic health record ("EHR"). We develop and validate a prediction model for birth in a HTBIC using EHR data. MATERIALS AND METHODS: In a cohort of patients within Kaiser Permanente Southern California ("KPSC") and Kaiser Permanent Northern California ("KPNC") between January 1, 2008 and December 31, 2019, KPSC was used as the development dataset and KPNC was used for external validation using logistic regression. Model performance was evaluated using area under the receiver operator curve ("AUCROC") and area under the precision and recall curve ("AUPRC"). We explored various cut-points to improve screening for LTBI. RESULTS: KPSC had 73% and KPNC had 54% of patients missing country-of-birth information in the EHR, leaving 2,036,400 and 2,880,570 patients with EHR-documented country-of-birth at KPSC and KPNC, respectively. The final model had an AUCROC of 0.85 and 0.87 on internal and external validation datasets, respectively. It had an AUPRC of 0.69 and 0.64 (compared to a baseline HTBIC-birth prevalence of 0.24 at KPSC and 0.19 at KPNC) on internal and external validation datasets, respectively. The cut-points explored resulted in a number needed to screen from 7.1-8.5 persons/positive LTBI diagnosis, compared to 4.2 and 16.8 persons/positive LTBI diagnosis from EHR-documented birth in a HTBIC and current screening criteria, respectively. DISCUSSION: Using logistic regression with EHR data, we developed a simple yet useful model to predict birth in a HTBIC which decreased the number needed to screen compared to current LTBI screening criteria. CONCLUSION: Our model improves the ability to screen for LTBI in health care settings based on birth in a HTBIC.

Assessment and treatment of depression in people with multiple sclerosis: A qualitative analysis of specialist clinicians' experiences.

BACKGROUND: Depression is common in people with multiple sclerosis (MS), with lifetime prevalence estimates between 25 and 50%. Depression is commonly underdiagnosed and undertreated in people with MS. This qualitative study assessed current practices, as well as facilitators and required resources to improve detection and management of depression in people with MS. METHODS: MS clinicians living in Australia were recruited through MS healthcare provider clinics and networks for online interviews. Interviews were transcribed and coded in NVivo for framework analysis. RESULTS: Participants included 15 MS specialists: nine nurses and six neurologists. Participants appreciated that depression was a common symptom of MS, and that untreated depression impacted patients' wellbeing, medication adherence, capacity for self-care, employment, and interpersonal relationships. Participants did not routinely screen for depression and noted that they lack the time and skills to manage depression once identified, most often recommending patients see their general practitioner. Clinicians recognised that people with MS commonly experience barriers to identifying and managing depressive symptoms, however few clinics provide information or discussion about depression as a symptom of MS with patients. CONCLUSION: Participants indicated a need for evidence-based guidance, more education and training to improve practices including screening for depression, and an urgent need for local referral pathways to affordable and accessible mental health services for people with MS. Findings suggest a need for better collaborative management of depression and improvement of systematic practices related to depression information, screening and treatment support.

Causes of Death in End-Stage Kidney Disease: Comparison between the United States Renal Data System and a Large Integrated Health Care System.

INTRODUCTION: Using a large diverse population of incident end-stage kidney disease (ESKD) patients from an integrated health system, we sought to evaluate the concordance of causes of death (CODs) between the underlying COD from the United States Renal Data System (USRDS) registry and CODs obtained from Kaiser Permanente Southern California (KPSC). METHODS: A retrospective cohort study was performed among incident ESKD patients who had mortality records and CODs reported in both KPSC and USRDS databases between January 1, 2007, and December 31, 2016. Underlying CODs reported by the KPSC were compared to the CODs reported by USRDS. Overall and subcategory-specific COD agreements were assessed using Cohen's weighted kappa statistic (95% CI). Proportions of positive and negative agreement were also determined. RESULTS: Among 4,188 ESKD patient deaths, 4,118 patients had CODs recorded in both KPSC and USRDS. The most common KPSC CODs were circulatory system diseases (35.7%), endocrine/nutritional/metabolic diseases (24.2%), genitourinary diseases (12.9%), and neoplasms (9.6%). Most common USRDS CODs were cardiac disease (46.9%), withdrawal from dialysis (12.6%), and infection (10.1%). Of 2,593 records with causes listed NOT as "Other," 453 (17.4%) had no agreement in CODs between the USRDS and the underlying, secondary, tertiary, or quaternary causes recorded by KPSC. In comparing CODs recorded within KPSC to the USRDS, Cohen's weighted kappa (95% CI) was 0.20 (0.18-0.22) with overall agreement of 36.4%. CONCLUSION: Among an incident ESKD population with mortality records, we found that there was only fair or slight agreement between CODs reported between the USRDS registry and KPSC, a large integrated health care system.

An exploratory study regarding communication facilitators and barriers reported by a cohort of multiple sclerosis (MS) community members from the international massive open online course 'Understanding MS'.

BACKGROUND: Effective communication is essential for high-quality multiple sclerosis (MS)-related healthcare, but significant knowledge and practice gaps remain in this area. The aim of this study was to explore facilitators and barriers of communication about MS reported by members of the MS community. METHODS: We conducted an exploratory mixed method study analysing self-reported facilitators and barriers to communication among MS community members participating in a free international online course about MS (called Understanding MS) who commented on an optional discussion board. We quantitatively compared commenters with course participants who did not comment and, among commenters, compared health information consumers (people with MS, caregivers) and suppliers (healthcare providers, service providers, researchers) using chi square and t-tests. We evaluated free text discussion board responses for emergent themes, comparing and contrasting consumer and supplier responses. RESULTS: We found that the sociodemographic characteristics of commenters (n = 262) were similar to course participants overall including age, sex and MS community role. However, among commenters, consumers (n = 152) were about 9 years older than suppliers (n = 57) on average (mean age consumers 52.9 years; suppliers 44.0 years p<0.001), and were less likely to have a university degree (p = 0.004) or live in Australia (the course host country representing almost 60% of the cohort; p<0.001). Nonetheless, consumers and suppliers listed similar facilitators for communication about MS: honesty, kindness/empathy/compassion, openness, and effective listening. Consumers further prioritized clarity and patience. Consumers were also more likely to list barriers to communication, commonly listing the following barriers: encountering a lack of knowledge about MS, the invisible symptoms of MS, uncertainty about the appropriate amount of communication, and concern about being perceived as complaining and/or burdening others. Finally, consumers also discussed communication as a means to educate others about MS. CONCLUSIONS: Effective communication remains a challenge in the MS community, particularly between health information suppliers and health information consumers. The results of this exploratory study highlight areas that should be considered when developing communication strategies for MS community members. A larger confirmatory study of MS health information consumers and suppliers that uses focus groups and individual interviews could be conducted to further explore these emerging themes.

Improving the detection and treatment of depression in Australians with multiple sclerosis: A qualitative analysis.

BACKGROUND: Depression is common in people with multiple sclerosis (MS), yet often goes undetected, untreated or undertreated. OBJECTIVE: This qualitative research explored current practices, barriers and facilitators for detection and treatment of depression in Australians with MS. METHODS: Participants were 26 people with MS recruited through social media. Participants completed the Centre for Epidemiological Studies Depression-Revised (CESD-R) scale and in-depth telephone or video interviews. Interviews were analysed using framework analysis. RESULTS: Scores measured on the CESD-R proposed 73% of participants were experiencing severe depression symptoms. Participants reported that depression is not regularly and formally assessed through MS healthcare services and they are offered limited information about depression in MS. Barriers to mental health support included recognition of depression, resistance to treatment and limitations of collaborative support between general practitioners and MS healthcare services. Participants expressed a need for open conversations and information about depression during neurology consultations. CONCLUSION: Based on our findings, improved detection and treatment of depression in people with MS requires: 1) better provision of information about depression for people with MS through healthcare services and community organisations; 2) regular screening and assessment; 3) better healthcare services collaboration to improve management.