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3 results on '"Matthias Larsson"'

1. Analysis from the NeoOBS Global Neonatal Sepsis Prospective Observational Cohort Study Across 19 Hospitals in 11 Countries; Clinical Presentation, Treatment, Mortality Outcomes and Development of the NeoSEP Sepsis Severity Score

Author

Ruchi Nanavati, Julia Bielicki, Shamim Qazi, Liu Zunjie, Davide Bilardi, Nishad Plakkal, Ajay Dudeja, Surbhi Malhotra-Kumar, Daniel Jarovsky, Matthias Larsson, Mohammad Shahidul Islam, Madhusudhan Ds, Adrie Bekker, Manica Balasegaram, Suppawat Boonkasidecha, Cristina Gardonyi Carvalheiro, Sally Ellis, Sara Chiurchiù, Sithembiso Velaphi, Emmanuel Roilides, Trah Minh Dien, Herman Goossens, Tim R. Cressey, Yonghong Yang, Eitan Naaman Berezin, Christina W. Obiero, Tomislav Kostyanev, Jolly Nankunda, Sushma Nangia, Wolfgang Stöhr, Angela Dramowski, Kanchana Preedisripipat, Simon Cousens, Borna Nyaoke, Kosmas Sarafidis, Yijun Ding, Marisa Márcia Mussi-Pinhata, Jinxing Feng, Amy Riddell, Tanusha Ramdin, James A. Berkley, Maxensia Owor, Aislinn Cook, Reenu Thomas, Tuba Vilken, Mike Sharland, Ramesh Agarwal, Youri Glupczynski, Suman Chaurasia, Daynia E Ballot, Meera Khorona, Nathalie Khavessian, Sarah Walker, Neal Russell, Yajuan Wang, Wang Ping, Maia De Luca, Paul T. Heath, Samir K. Saha, and Bethou Adhisivam

Subjects
Carbapenem, medicine.medical_specialty, Research ethics, Neonatal sepsis, Proportional hazards model, business.industry, Birth weight, medicine.disease, Sepsis, Postnatal age, Emergency medicine, medicine, business, medicine.drug, Cohort study
Abstract

Background: Neonatal sepsis is associated with high mortality, but there is limited clinical data on outcomes in hospital facilities in low and middle income countries (LMIC). The NeoOBS study aimed to determine the clinical features, pathogens and clinical outcomes of infants presenting with neonatal sepsis in hospitals globally. Methods: Infants

Published
2021

2. Clinical Presentation and 28-Day Mortality in Hospitalized Neonates and Young Infants with Clinical Sepsis: The Global NeoOBS Observational Cohort

Author

Neal Russell, Wolfgang Stöhr, Nishad Plakkal, Aislinn Cook, James A. Berkley, Bethou Adhisivam, Ramesh Agarwal, Manica Balasegaram, Daynia Ballot, Adrie Bekker, Eitan Naaman Berezin, Davide Bilardi, Suppawat Boonkasidecha, Cristina G. Carvalheiro, Suman Chaurasia, Sara Chiurchiu, Simon Cousens, Tim R. Cressey, Trah Minh Dien, Yijun Ding, Angela Dramowski, Madhusudhan DS, Ajay Dudeja, Jinxing Feng, Youri Glupczynski, Herman Goossens, Mohammad Shahidul Islam, Daniel Jarovsky, Nathalie Khavessian, Meera Khorona, Tomislav Kostyanev, Matthias Larsson, Maia De Luca, Surbhi Malhotra-Kumar, Marisa M. Mussi-Pinhata, Ruchi Nanavati, Sushma Nangia, Jolly Nankunda, Borna Nyaoke, Christina W. Obiero, Maxensia Owor, Wang Ping, Kanchana Preedisripipat, Shamim Qazi, Tanusha Ramdin, Amy Riddell, Emmanuel Roilides, Samir Saha, Kosmas Sarafidis, Reenu Thomas, Sithembiso Christopher Velaphi, Tuba Vilken, Yajuan Wang, Yonghong Yang, Liu Zunjie, Sally Ellis, Julia Bielicki, Sarah Walker, Paul T. Heath, and Mike Sharland

Subjects
History, Polymers and Plastics, Business and International Management, Industrial and Manufacturing Engineering
Published
2021

3. Screening Tests Detect Knee Pain and Predict Discharge from Military Service

Author

Helena Larsson, Hanna Österberg, Matthias Larsson, and Karin Harms-Ringdahl

Subjects
Adult, Male, medicine.medical_specialty, Health Status, Military service, Psychological intervention, Squat, Military medicine, Surveys and Questionnaires, medicine, Health Status Indicators, Humans, Mass Screening, Musculoskeletal Diseases, Military Medicine, Occupational Health, Pain Measurement, Sweden, Receiver operating characteristic, business.industry, Public Health, Environmental and Occupational Health, General Medicine, Health Surveys, Test (assessment), Occupational Diseases, Military Personnel, Knee pain, ROC Curve, Exercise Test, Physical therapy, medicine.symptom, Artillery, business
Abstract

This study evaluated the capacity of a screening test to predict discharge from military training. When starting their training, 590 artillery and 258 ranger conscripts were tested in step-up, step-down, rising from a 0.40-m-high bench, and bilateral squat tests, with pain intensity ratings. Ranger conscripts who did not complete their training were noted. The rising test identified 82% and the step-down test 81% of artillery conscripts who reported pain at any level during any of the screening tests. Receiver operating characteristic curve analysis revealed that both the step-down test and the rising test were good in predicting discharge from military ranger training because of knee problems. The step-down test identified 80% of ranger conscripts who did not complete training because of knee disorders. The tests constitute a simple, time-saving, cost-effective tool in a systematic process for screening knee pain to identify high-risk groups, for prioritization of interventions.

Published
2008

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