92 research outputs found

    The Effect of Hospital Volume on Mortality in Patients Admitted with Severe Sepsis

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    Importance The association between hospital volume and inpatient mortality for severe sepsis is unclear. Objective: To assess the effect of severe sepsis case volume and inpatient mortality. Design Setting and Participants Retrospective cohort study from 646,988 patient discharges with severe sepsis from 3,487 hospitals in the Nationwide Inpatient Sample from 2002 to 2011. Exposures The exposure of interest was the mean yearly sepsis case volume per hospital divided into tertiles. Main Outcomes and Measures Inpatient mortality. Results: Compared with the highest tertile of severe sepsis volume (>60 cases per year), the odds ratio for inpatient mortality among persons admitted to hospitals in the lowest tertile (≤10 severe sepsis cases per year) was 1.188 (95% CI: 1.074–1.315), while the odds ratio was 1.090 (95% CI: 1.031–1.152) for patients admitted to hospitals in the middle tertile. Similarly, improved survival was seen across the tertiles with an adjusted inpatient mortality incidence of 35.81 (95% CI: 33.64–38.03) for hospitals with the lowest volume of severe sepsis cases and a drop to 32.07 (95% CI: 31.51–32.64) for hospitals with the highest volume. Conclusions and Relevance We demonstrate an association between a higher severe sepsis case volume and decreased mortality. The need for a systems-based approach for improved outcomes may require a high volume of severely septic patients

    Performance of Two-Stage Cervical Cancer Screening With Primary High-Risk Human Papillomavirus Testing in Women Living With Human Immunodeficiency Virus

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    OBJECTIVE: To evaluate the performance of cervical cancer screening algorithms for women living with human immunodeficiency virus (HIV), using primary high-risk human papillomavirus (HPV) testing followed by cytology, visual inspection with acetic acid, or colposcopy. METHODS: We conducted a prospective cohort study of women living with HIV in Botswana. All participants underwent high-risk HPV testing. Participants with positive high-risk HPV test results underwent cytology, visual inspection with acetic acid, colposcopy, and biopsy. Participants with negative high-risk HPV test results also underwent cytology. Histopathology was the reference standard for determination of preinvasive cervical disease and cervical cancer. Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and likelihood ratios (LR) of high-risk HPV-based two-stage screening algorithms were calculated. RESULTS: Among 300 women screened, 88 (29%) had a positive high-risk HPV test result, and 29 of the 88 (35%) women who tested positive for high-risk HPV had CIN 2 or higher on histopathology. High-risk HPV followed by colposcopy resulted in a sensitivity of 83%, specificity of 49%, PPV of 47%, LR+ of +1.6, and LR− of −0.4. High-risk HPV followed by visual inspection with acetic acid resulted in a reduced sensitivity of 59%, specificity of 49%, PPV of 39%, LR+ of +1.2, and LR− of −0.8. High-risk HPV testing followed by cytology also resulted in a reduced sensitivity of 62%, specificity of 77%, PPV of 60%, LR+ of +2.7, and LR− of −0.5. Stratification by HPV 16/18/45 did not improve performance of the algorithms. CONCLUSION: In a high-risk population with HIV, high-risk HPV testing followed by colposcopy demonstrated the highest sensitivity and PPV in detecting high-grade cervical dysplasia. Allocating resources to colposcopy in resource-limited settings may be more effective than other screening strategies

    Differential Kinetics of Immune Responses Elicited by Covid-19 Vaccines

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    To the Editor: Previous studies have shown that the BNT162b2 (Pfizer–BioNTech), mRNA-1273 (Moderna), and Ad26.COV2.S (Johnson & Johnson–Janssen) vaccines provide robust protective efficacy against coronavirus disease 2019 (Covid-19). Here, we report comparative kinetics of humoral and cellular immune responses elicited by the two-dose BNT162b2 vaccine (in 31 participants), the two-dose mRNA-1273 vaccine (in 22 participants), and the one-dose Ad26.COV2.S vaccine (in 8 participants). We evaluated antibody and T-cell responses from peak immunity at 2 to 4 weeks after the second immunization in recipients of the messenger RNA (mRNA) vaccines or after the first immunization in recipients of the Ad26.COV2.S vaccine to 8 months (Table S1 in the Supplementary Appendix, available with the full text of this letter at NEJM.org)

    Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

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    NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI's footprint-level (similar to 25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI's waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Reply to S. Takamizawa et al

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    Patient satisfaction and wait times following outpatient manual vacuum aspiration compared to electric vacuum aspiration in the operating room: a cross-sectional study

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    Abstract Background Outpatient manual vacuum aspiration (MVA) is a safe and equally effective alternative to electric vacuum aspiration (EVA) in the operating room. This project was conducted to determine whether outpatient MVA expedites care while maintaining patient satisfaction. Methods A cross-sectional study of a convenience sample of patients undergoing surgical management of spontaneous abortion, induced abortion, or retained products of conception with either outpatient MVA under local anesthesia or EVA in the operating room was conducted. Of 138 women completing surveys, 48 (34.8%) underwent outpatient MVA and 90 (65.2%) underwent EVA in the operating room. Procedure length, time from decision to procedure, and patient satisfaction were assessed through a self-administered questionnaire completed post-procedure. Results Most (77%) patients in the MVA group reported waiting fewer than 2 h from the time of their decision to the procedure, while most (74%) EVA patients reported waiting over 12 h (P < 0.001); the MVA group reported higher satisfaction with time to procedure (P = 0.02). The median procedure length was significantly shorter in the EVA group (10 vs. 20 min, P < 0.001). There was no significant difference between groups in overall satisfaction with the procedure (P = 0.16). Conclusion Outpatient MVA under local anesthesia is a suitable alternative to operating room-based EVA for management of spontaneous abortion, induced abortion, and retained products of conception. Outpatient MVA is associated with shorter decision-to-procedure time and is highly acceptable to patients. Integration of outpatient MVA into clinical settings can add time- and resource-saving options for uterine evacuation while maintaining a positive patient experience
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