Role of neutrophil to lymphocyte and monocyte to lymphocyte ratios in the diagnosis of bacterial infection in patients with fever

Purpose

To study the role of the neutrophil:lymphocyte ratio (NLR) and monocyte:lymphocyte ratio (MLR) in discriminating between different patient groups hospitalized for fever due to infection and those without infection.

Methods

For 299 patients admitted to hospital for fever with unknown cause, a number of characteristics including NLR and MLR were recorded. These characteristics were used in a multiple multinomial regression analysis to estimate the probability of a final diagnostic group of bacterial, viral, clinically confirmed, or no infection.

Results

Both NLR and MLR significantly predicted final diagnostic group. Being highly correlated, however, both variables could not be retained in the same model. Both variables also interacted significantly with duration of fever. Generally, higher values of NLR and MLR indicated larger probabilities for bacterial infection and low probabilities for viral infection. Patients with septicemia had significantly higher NLR compared to patients with other bacterial infections with fever for less than one week. White blood cell counts, neutrophil counts, and C-reactive proteins did not differ significantly between septicemia and the other bacterial infection groups.

Conclusions

NLR is a more useful diagnostic tool to identify patients with septicemia than other more commonly used diagnostic blood tests. NLR and MLR may be useful in the diagnosis of bacterial infection among patients hospitalized for fever.

     

Neutrophil-to-lymphocyte ratio decreases in obstructive sleep apnea treated with mandibular advancement devices

Purpose

Obstructive sleep apnea has been associated with chronic inflammation triggered by nocturnal hypoxemia. The neutrophil-to-lymphocyte ratio (NLR) is a measure of subclinical systemic inflammation. We hypothesize that NLR levels would improve as chronic inflammation diminishes in obstructive sleep apnea (OSA) patients treated with mandibular advancement devices (MADs).

Methods

We studied patients with OSA who were treated with MAD as a first-line treatment or because they could not tolerate CPAP. We obtained pre-treatment and post-treatment complete blood counts. NLR was calculated by dividing the number of neutrophils by the number of lymphocytes obtained from the CBCs. Patients with other conditions known to affect NLR were excluded from the study.

Results

We compared the values of NLR and oxygen desaturation index (ODI) before and after treatment with MAD in 22 patients who met inclusion criteria and completed the study protocol. There was a significant difference in NLR before and after treatment (p?=?0.01). There was also a significant difference in the 3% ODI and 4% ODI before and after treatment with MAD (p?=?0.014, 0.007), respectively. A subgroup analysis compared NLR in two groups of patients, the optimally treated and suboptimally treated. There was a significant decrease in the NLR in the optimally treated group (n?=?10) (p?<?0.01), whereas it did not change in the suboptimally treated group (n?=?12) (p?=?0.349).

Conclusion

The neutrophil-to-lymphocyte ratio may be useful in documenting improvement in inflammation for OSA patients treated with mandibular advancement devices. Our results specifically suggest that the NLR values are associated with the decrease in the ODI.

     

Inflammatory cell ratios predict major septic complications following rectal cancer surgery

Introduction

The inflammatory response is known to have an important role in tumourigenesis and the response to treatment. Previous studies have demonstrated that inflammatory cell ratios such as the neutrophil-to-lymphocyte ratio (NLR) can predict survival and recurrence following surgery for various cancers. The objective of this study was to demonstrate if pre-operative NLR has a role in predicting post-operative septic complications in patients undergoing rectal cancer surgery.

Methodology

Consecutive patients undergoing scheduled resection for rectal cancer in a tertiary centre from July 2007 to Dec 2015 were included. Data was gathered from a prospectively held database of rectal cancer. Normally distributed data were compared with paired t tests (mean?±?standard error in the mean (SEM)), and proportions were compared with Fisher’s exact test. A p value of <?0.05 was considered statistically significant.

Results

Three hundred fourteen patients were identified in this study. Sixty nine (22.0%) patients had a major septic complication following surgery for rectal cancer, which was associated with a poor survival outcome (p?<?0.01) Both pre and post-operative NLR and PLR (platelet lymphocyte ratio) were associated with post-operative septic complications (both p?<?0.01). A pre-operative NLR threshold level of 4 was chosen from ROC analysis, and this provided a relatively specific test to predict post-operative septic complications in these patients (specificity?=?83.7%, negative predictive value (NPV)?=?74.8%).

Discussion

In this study, the pre-operative NLR and PLR were both predictive of major post-operative septic complications. A pre-operative NLR of less than 4 was strongly negative predictor of post-operative complications in rectal cancer surgery. It can be regarded as a predictive and prognostic factor for these patients.

     

External Validation of a Tool Predicting 7-Year Risk of Developing Cardiovascular Disease,Type 2 Diabetes or Chronic Kidney Disease

Background

Chronic cardiometabolic diseases, including cardiovascular disease (CVD), type 2 diabetes (T2D) and chronic kidney disease (CKD), share many modifiable risk factors and can be prevented using combined prevention programs. Valid risk prediction tools are needed to accurately identify individuals at risk.

Objective

We aimed to validate a previously developed non-invasive risk prediction tool for predicting the combined 7-year-risk for chronic cardiometabolic diseases.

Design

The previously developed tool is stratified for sex and contains the predictors age, BMI, waist circumference, use of antihypertensives, smoking, family history of myocardial infarction/stroke, and family history of diabetes. This tool was externally validated, evaluating model performance using area under the receiver operating characteristic curve (AUC)—assessing discrimination—and Hosmer–Lemeshow goodness-of-fit (HL) statistics—assessing calibration. The intercept was recalibrated to improve calibration performance.

Participants

The risk prediction tool was validated in 3544 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).

Key Results

Discrimination was acceptable, with an AUC of 0.78 (95% CI 0.75–0.81) in men and 0.78 (95% CI 0.74–0.81) in women. Calibration was poor (HL statistic: p?<?0.001), but improved considerably after intercept recalibration. Examination of individual outcomes showed that in men, AUC was highest for CKD (0.85 [95% CI 0.78–0.91]) and lowest for T2D (0.69 [95% CI 0.65–0.74]). In women, AUC was highest for CVD (0.88 [95% CI 0.83–0.94)]) and lowest for T2D (0.71 [95% CI 0.66–0.75]).

Conclusions

Validation of our previously developed tool showed robust discriminative performance across populations. Model recalibration is recommended to account for different disease rates. Our risk prediction tool can be useful in large-scale prevention programs for identifying those in need of further risk profiling because of their increased risk for chronic cardiometabolic diseases.

     

Neutrophil-to-Lymphocyte Ratio Predicts Outcome in Limited Disease Small-cell Lung Cancer

Introduction

Patients with limited disease small-cell lung cancer (SCLC) receive radiochemotherapy followed by prophylactic cranial irradiation. The prognosis of these patients remains poor with a median survival of 16–24 months. Systemic inflammation was suggested as an important prognostic factor for outcomes. This study investigated the impact of systemic inflammation measured with neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) at first diagnosis in patients with limited disease SCLC for outcomes.

Methods

Data of 65 patients receiving radiochemotherapy for limited disease SCLC were analyzed. NLR and PLR were obtained from blood sample at first diagnosis of SCLC and 12 characteristics including gender, age, ECOG, T-category, N-category, pack years, smoking during radiotherapy, respiratory insufficiency, hemoglobin levels during radiotherapy, radiation dose (<56 vs. ≥56 Gy), concurrent radiochemotherapy, and prophylactic cranial irradiation (PCI) were evaluated for local control, metastasis-free survival, and overall survival.

Results

Survival rates at 1, 2, and 3 years were 71, 45, and 28%, respectively. Median survival time was 20 months. Independent factors for improved survival were NLR?<?4 (p?=?0.03), ECOG 0–1 (p?=?0.002), and PCI (p?=?0.015). Lower T-category was an independent positive factor of local control (p?=?0.035). Improved metastasis-free survival was associated with NLR?<?4 (p?=?0.011), ECOG 0–1 (p?=?0.002), N-category 0–1 (p?=?0.048), non-smoking during radiotherapy (p?=?0.009), and PCI (p?=?0.006).

Conclusion

NLR was found to be an independent prognostic factor for overall survival. The evaluation of NLR can help identify patients with poor prognosis and appears a useful prognostic marker in clinical practice. A prospective analysis is warranted to confirm these findings.

     

Does serum procalcitonin aid in the diagnosis of bloodstream infection regardless of whether patients exhibit the systemic inflammatory response syndrome?

Background

Physicians frequently rely on the systemic inflammatory response syndrome (SIRS) criteria to detect bloodstream infections (BSIs). We evaluated the diagnostic performance of procalcitonin (PCT) in detecting BSI in patients with and without SIRS.

Methods

We tested the association between BSI, serum PCT levels, contemporaneous SIRS scores and serum lactate using logistic regression in a dataset of 4279 patients. The diagnostic performance of these variables was assessed.

Results

In multivariate regression analysis, only log(PCT) was independently associated with BSI (p < 0.05). The mean area under the curve (AUC) of PCT in detecting BSI (0.683; 95% CI 0.65–0.71) was significantly higher than serum lactate (0.615; 95% CI 0.58–0.64) and the SIRS score (0.562; 95% CI 0.53–0.58). The AUC of PCT did not differ significantly by SIRS status. PCT of less than 0.1 ng/mL had a negative predictive value (NPV) of 97.4 and NPV of 96.2% for BSI in the SIRS-negative and SIRS-positive patients, respectively. A PCT of greater than 10 ng/mL had a LR of 6.22 for BSI in SIRS-negative patients. The probability of BSI increased exponentially with rising PCT levels regardless of SIRS status.

Conclusion

The performance of PCT for the diagnosis of BSI was not affected by SIRS status. Only PCT was independently associated with BSI, while the SIRS criterion and serum lactate were not. A low PCT value may be used to identify patients at a low risk for having BSI in both settings. An elevated PCT value even in a SIRS negative patient should prompt a careful search for BSI.

     

Treatment of acute hepatitis C: recommendations from an expert panel of the Italian Society of Infectious and Tropical Diseases

Aim

This paper is aimed at providing practical recommendations for the management of acute hepatitis C (AHC).

Methods

This is an expert position paper based on the literature revision. Final recommendations were graded by level of evidence and strength of the recommendations.

Results

Treatment of AHC with direct-acting antivirals (DAA) is safe and effective; it overcomes the limitations of INF-based treatments.

Conclusions

Early treatment with DAA should be offered when available.

     

Effects of a Video on Organ Donation Consent Among Primary Care Patients: A Randomized Controlled Trial

BACKGROUND

Low organ donation rates remain a major barrier to organ transplantation.

OBJECTIVE

We aimed to determine the effect of a video and patient cueing on organ donation consent among patients meeting with their primary care provider.

DESIGN

This was a randomized controlled trial between February 2013 and May 2014.

SETTING

The waiting rooms of 18 primary care clinics of a medical system in Cuyahoga County, Ohio.

PATIENTS

The study included 915 patients over 15.5 years of age who had not previously consented to organ donation.

INTERVENTIONS

Just prior to their clinical encounter, intervention patients (n?=?456) watched a 5-minute organ donation video on iPads and then choose a question regarding organ donation to ask their provider. Control patients (n?=?459) visited their provider per usual routine.

MAIN MEASURES

The primary outcome was the proportion of patients who consented for organ donation. Secondary outcomes included the proportion of patients who discussed organ donation with their provider and the proportion who were satisfied with the time spent with their provider during the clinical encounter.

KEY RESULTS

Intervention patients were more likely than control patients to consent to donate organs (22 % vs. 15 %, OR 1.50, 95%CI 1.10–2.13). Intervention patients were also more likely to have donation discussions with their provider (77 % vs. 18 %, OR 15.1, 95%CI 11.1–20.6). Intervention and control patients were similarly satisfied with the time they spent with their provider (83 % vs. 86 %, OR 0.87, 95%CI 0.61–1.25).

LIMITATION

How the observed increases in organ donation consent might translate into a greater organ supply is unclear.

CONCLUSION

Watching a brief video regarding organ donation and being cued to ask a primary care provider a question about donation resulted in more organ donation discussions and an increase in organ donation consent. Satisfaction with the time spent during the clinical encounter was not affected.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01697137

     

Prediction of anastomotic leak in colorectal cancer surgery based on a new prognostic index PROCOLE (prognostic colorectal leakage) developed from the meta-analysis of observational studies of risk factors

Purpose

To obtain a prognostic index, which has been named PROCOLE (prognostic colorectal leakage), it can predict the risk that a certain individual may suffer anastomotic leakage.

Methods

The methodology consists of a systematic review to identify potential risk factors for anastomotic leakage and a meta-analysis of studies of each of these factors. In the meta-analysis, the prognostic index integrates factors that are statistically significant, which are weighted according to the estimated value of the effect size. The prognostic index was validated using retrospectively collected data from patients who underwent colorectal cancer surgery anastomosis at our institution.

Results

The mean and standard deviation of the PROCOLE prognostic index in patients with anastomotic leakage is 1.9?±?6.13, whereas in controls, it is 3.63?±?2.1. The predictive ability of the PROCOLE, assessed by calculating the area under the curve (AUC) of the receiver operating characteristic (ROC), results in an AUC of 0.82 with a 95 % confidence interval (CI) (0.75, 0.89) of the AUC, and it can be considered a good prognostic indicator.

Conclusions

The PROCOLE prognostic index predicts the risk of a certain individual developing anastomotic leakage after colorectal cancer surgery. Specifically, the PROCOLE prognostic index establishes a discrimination value threshold of 4.83 for recommending the implementation of a protective stoma. We have developed free software with a simple interface that only requires the selection of risk factors to obtain the PROCOLE value.

     

Die Rolle der Selbsthilfegruppen in der Onkologie

Background

Little is known about self-help associations and their possibilities. Obstacles often prevent early contacts between affected people.

Objectives

The psychosocial support given by self-help associations in different phases is evaluated.

Materials and methods

Based on the experience of the Deutsche ILCO and from cooperation with other organizations and institutions, various dimensions of self-help groups are investigated.

Results

On the professional side, there is a lack of knowledge and of attitude. Suitable structures are rare.

Conclusions

The removal of barriers and development of effective structures are overdue.

     

Weighted STOP-Bang and screening for sleep-disordered breathing

Background

STOP-Bang is a tool for predicting the likelihood for sleep-disordered breathing (SDB). In the conventional score, all variables are dichotomous. Our aim was to identify whether modifying the STOP-Bang scoring tool by weighting the variables could improve test characteristics.

Methods

Subjects who participated in the Sleep Heart Health Study (SHHS) were included in this analysis using a derivation dataset (n = 1667) and a validation dataset (n = 4774). In the derivation dataset, each STOP-Bang variable was evaluated using linear regression against the presence of SDB (AHI > 15/h) in order to determine the coefficients that would allow variable weighting. In other models, BMI, age, and neck circumference were entered as continuous variables. The sum of the weighted dichotomous variables yielded a weighted STOP-Bang (wSTOP-Bang). The sum of the weighted-continuous variables yielded a continuous STOP-Bang (cSTOP-Bang). The wSTOP-Bang, cSTOP-Bang, and the conventional STOP-Bang scores were then applied to the validation dataset, and receiver operating characteristic (ROC) curves were constructed.

Results

The area under the curve (AUC) for cSTOP-Bang (0.738) was greater than the AUC for conventional STOP-Bang (0.706) and wSTOP-Bang (0.69). The sensitivities for cSTOP-Bang, STOP-Bang, and wSTOP-Bang were similar at 93.2, 93.2, and 93.3 %, respectively. The cSTOP-Bang had a higher specificity (31.8 %) than both STOP-Bang (23.2 %) and wSTOP-Bang (23.6 %). The cSTOP-Bang had a higher likelihood ratio of a positive test (1.36) than both STOP-Bang (1.21) and wSTOP-Bang (1.22).

Conclusions

Modifying the STOP-Bang score by weighting the variables and using continuous variables for BMI, age, and neck circumference can maintain sensitivity while improving specificity, positive likelihood ratio, and area under the receiver operating characteristic curve.

     

Reducing Patients’ Unmet Concerns in Primary Care: the Difference One Word Can Make

Context

In primary, acute-care visits, patients frequently present with more than 1 concern. Various visit factors prevent additional concerns from being articulated and addressed.

Objective

To test an intervention to reduce patients’ unmet concerns.

Design

Cross-sectional comparison of 2 experimental questions, with videotaping of office visits and pre and postvisit surveys.

Setting

Twenty outpatient offices of community-based physicians equally divided between Los Angeles County and a midsized town in Pennsylvania.

Participants

A volunteer sample of 20 family physicians (participation rate?=?80%) and 224 patients approached consecutively within physicians (participation rate?=?73%; approximately 11 participating for each enrolled physician) seeking care for an acute condition.

Intervention

After seeing 4 nonintervention patients, physicians were randomly assigned to solicit additional concerns by asking 1 of the following 2 questions after patients presented their chief concern: “Is there anything else you want to address in the visit today?” (ANY condition) and “Is there something else you want to address in the visit today?” (SOME condition).

Main Outcome Measures

Patients’ unmet concerns: concerns listed on previsit surveys but not addressed during visits, visit time, unanticipated concerns: concerns that were addressed during the visit but not listed on previsit surveys.

Results

Relative to nonintervention cases, the implemented SOME intervention eliminated 78% of unmet concerns (odds ratio (OR)?=?.154, p?=?.001). The ANY intervention could not be significantly distinguished from the control condition (p?=?.122). Neither intervention affected visit length, or patients’; expression of unanticipated concerns not listed in previsit surveys.

Conclusions

Patients’ unmet concerns can be dramatically reduced by a simple inquiry framed in the SOME form. Both the learning and implementation of the intervention require very little time.

     

Clinical validation of a novel urine-based metabolomic test for the detection of colonic polyps on Chinese population

Purpose

Colorectal cancer is the fifth leading cause of cancer-related deaths in China. When detected early, with the removal of adenomatous polyps, precursors of colorectal cancer, it is preventable. The aim of this study was to evaluate a novel urine-based metabolomic diagnostic test for the detection of adenomatous polyps, PolypDx?, that was originally developed and validated using 1000 samples from Canadian Cohort, on Chinese population.

Methods

Prospective urine samples were collected from 1000 participants undergoing colonoscopy examination, from March 2013 to July 2014 at Minhang District, Shanghai Centre for Disease Control and Prevention. One-dimensional nuclear magnetic resonance spectra of urine metabolites were analyzed to determine the concentrations of three key metabolites used in PolypDx?. The predicted results were then compared to the gold standard for colorectal cancer diagnostic, colonoscopy. Area under curve (AUC) was calculated specifically for the Chinese population and compared with the Canadian dataset. Sensitivity and specificity of this urine-based metabolomic diagnostic test were also compared with three commercially available fecal-based tests.

Results

An AUC of 0.717 for PolypDx? was calculated on Chinese dataset which is slightly lower than the AUC on the Canadian dataset. A sensitivity of 82.6% and a specificity of 42.4% were achieved on Chinese dataset.

Conclusions

Here, we validated a novel urine-based metabolomic diagnostic test for the detection of adenomatous polyps, PolypDx?, on Chinese population through a sample size of 1000 participants with a greater level of sensitivity than fecal-based tests.

     

Mortality Associated with Metformin Versus Sulfonylurea Initiation: A Cohort Study of Veterans with Diabetes and Chronic Kidney Disease

Background

For patients with type 2 diabetes and chronic kidney disease (CKD), high-quality evidence about the relative benefits and harms of oral glucose-lowering drugs is limited.

Objective

To evaluate whether mortality risk differs after the initiation of monotherapy with either metformin or a sulfonylurea in Veterans with type 2 diabetes and CKD.

Design

Observational, national cohort study in the Veterans Health Administration (VHA).

Participants

Veterans who received care from the VHA for at least 1 year prior to initiating monotherapy treatment for type 2 diabetes with either metformin or a sulfonylurea between 2004 and 2009.

Main Measures

Metformin and sulfonylurea use was assessed from VHA electronic pharmacy records. The CKD-EPI equation was used to estimate glomerular filtration rate (eGFR). The outcome of death from January 1, 2004, through December 31, 2009, was assessed from VHA Vital Status files.

Key Results

Among 175,296 new users of metformin or a sulfonylurea monotherapy, 5121 deaths were observed. In primary analyses adjusted for all measured potential confounding factors, metformin monotherapy was associated with a lower mortality hazard ratio (HR) compared with sulfonylurea monotherapy across all ranges of eGFR evaluated (HR ranging from 0.59 to 0.80). A secondary analysis of mortality risk differences favored metformin across all eGFR ranges; the greatest risk difference was observed in the eGFR category 30–44 mL/min/1.73m² (12.1 fewer deaths/1000 person-years, 95% CI 5.2–19.0).

Conclusions

Initiation of metformin versus a sulfonylurea among individuals with type 2 diabetes and CKD was associated with a substantial reduction in mortality, in terms of both relative and absolute risk reduction. The largest absolute risk reduction was observed among individuals with moderately–severely reduced eGFR (30–44 mL/min/1.73m²).

     

Cost of Transformation among Primary Care Practices Participating in a Medical Home Pilot

Background

Medical home initiatives encourage primary care practices to invest in new structural capabilities such as patient registries and information technology, but little is known about the costs of these investments.

Objectives

To estimate costs of transformation incurred by primary care practices participating in a medical home pilot.

Design

We interviewed practice leaders in order to identify changes practices had undertaken due to medical home transformation. Based on the principles of activity-based costing, we estimated the costs of additional personnel and other investments associated with these changes.

Setting

The Pennsylvania Chronic Care Initiative (PACCI), a statewide multi-payer medical home pilot.

Participants

Twelve practices that participated in the PACCI.

Measurements

One-time and ongoing yearly costs attributed to medical home transformation.

Results

Practices incurred median one-time transformation-associated costs of $30,991 per practice (range, $7694 to $117,810), equivalent to $9814 per clinician ($1497 to $57,476) and $8 per patient ($1 to $30). Median ongoing yearly costs associated with transformation were $147,573 per practice (range, $83,829 to $346,603), equivalent to $64,768 per clinician ($18,585 to $93,856) and $30 per patient ($8 to $136). Care management activities accounted for over 60% of practices’ transformation-associated costs. Per-clinician and per-patient transformation costs were greater for small and independent practices than for large and system-affiliated practices.

Limitations

Error in interviewee recall could affect estimates. Transformation costs in other medical home interventions may be different.

Conclusions

The costs of medical home transformation vary widely, creating potential financial challenges for primary care practices—especially those that are small and independent. Tailored subsidies from payers may help practices make these investments.

Primary Funding Source

Agency for Healthcare Research and Quality

     

Selection of EMR and ESD for Laterally Spreading Lesions of the Colon

Introduction

Colonic laterally spreading lesions (LSL) are increasingly managed using endoscopic methods that comprise two main techniques: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD).

Purpose of Review

In this review, we aimed to review the most recent literature on selection of the best endoscopic technique in the management of colonic LSL.

Recent Findings

EMR and ESD are complimentary techniques in the management of patients with colonic LSL.

Summary

EMR is safe and effective in most patients with LSL, except for cancers with submucosal invasion in whom R0 resection is favored.

     

Cancer Risk Communication with Low Health Literacy Patients: A Continuing Medical Education Program

BACKGROUND

Low health literacy (HL) is an important risk factor for cancer health disparities.

OBJECTIVE

Describe a continuing medical education (CME) program to teach primary care physicians (PCP) cancer risk communication and shared decision-making (SDM) with low HL patients and baseline skills assessment.

DESIGN

Cluster randomized controlled trial in five primary care clinics in New Orleans, LA.

PARTICIPANTS

Eighteen PCPs and 73 low HL patients overdue for cancer screening.

INTERVENTION

Primary care physicians completed unannounced standardized patient (SP) encounters at baseline. Intervention physicians received SP verbal feedback; academic detailing to review cancer screening guidelines, red flags for identifying low HL, and strategies for effective counseling; and web-based tutorial of SP comments and checklist items hyperlinked to reference articles/websites.

MAIN MEASURES

Baseline PCP self-rated proficiency, SP ratings of physician general cancer risk communication and SDM skills, patient perceived involvement in care.

RESULTS

Baseline assessments show physicians rated their proficiency in discussing cancer risks and eliciting patient preference for treatment/decision-making as “very good”. SPs rated physician exploration of perceived cancer susceptibility, screening barriers/motivators, checking understanding, explaining screening options and associated risks/benefits, and eliciting preferences for screening as “satisfactory”. Clinic patients rated their doctor’s facilitation of involvement in care and information exchange as “good”. However, they rated their participation in decision-making as “poor”.

DISCUSSION

The baseline skills assessment suggests a need for physician training in cancer risk communication and shared decision making for patients with low HL. We are determining the effectiveness of teaching methods, required resources and long-term feasibility for a CME program.

     

Application of the qSOFA score to predict mortality in patients with suspected infection in a resource-limited setting in Malawi

Purpose

To determine the predictive value of qSOFA (quick Sequential Organ Failure Assessment) in Malawian patients with suspected infection.

Methods

Prospective observational study in a tertiary referral hospital in Malawi.

Results

Predictive ability of qSOFA was reasonable [AUROC 0.73 (95% CI 0.68–0.78)], increasing to 0.77 (95% CI 0.72–0.82) when classifying all patients with altered mental status as high risk. Adding HIV status as a variable to the qSOFA score did not improve predictive value.

Conclusion

qSOFA is a simple tool that can aid risk stratification in resource-limited settings.

     

Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record

Background

Drug-drug interaction (DDI) alerts in electronic health records (EHRs) can help prevent adverse drug events, but such alerts are frequently overridden, raising concerns about their clinical usefulness and contribution to alert fatigue.

Objective

To study the effect of conversion to a commercial EHR on DDI alert and acceptance rates.

Design

Two before-and-after studies.

Participants

3277 clinicians who received a DDI alert in the outpatient setting.

Intervention

Introduction of a new, commercial EHR and subsequent adjustment of DDI alerting criteria.

Main Measures

Alert burden and proportion of alerts accepted.

Key Results

Overall interruptive DDI alert burden increased by a factor of 6 from the legacy EHR to the commercial EHR. The acceptance rate for the most severe alerts fell from 100 to 8.4%, and from 29.3 to 7.5% for medium severity alerts (P?<?0.001). After disabling the least severe alerts, total DDI alert burden fell by 50.5%, and acceptance of Tier 1 alerts rose from 9.1 to 12.7% (P?<?0.01).

Conclusions

Changing from a highly tailored DDI alerting system to a more general one as part of an EHR conversion decreased acceptance of DDI alerts and increased alert burden on users. The decrease in acceptance rates cannot be fully explained by differences in the clinical knowledge base, nor can it be fully explained by alert fatigue associated with increased alert burden. Instead, workflow factors probably predominate, including timing of alerts in the prescribing process, lack of differentiation of more and less severe alerts, and features of how users interact with alerts.