AGI-5198 Comparison between groups of subjective levels of G

Comparison between groups of subjective levels of GGO was tested using one way ANOVA. Interobserver variability in the assessment of lung water was evaluated using the Bland–Altman method [5].
Acknowledgements The research was supported by Danish Agency for Science, Technology and Innovation, Denmark by The Danish Council for Strategic Research, Denmark (EDITORS: Eastern Denmark Initiative to imprOve Revascularization Strategies, Grant 09–066994), The Research Fund of Rigshospitalet and A.P Møller and Chastine McKinney Møller Foundation.; all Copenhagen Denmark.
Data The data contains the information of co-morbidities coding from ICD-9 CM codes and specific difference in requirement between medical centers and non-medical centers in resuscitation as shown in Tables 1 and 2. Univariate and multivariate logistic regression analysis for factors related to the outcome of survival to ICU admission and survival to hospital discharge are included in the data set Tables 3a and 3b. The data also contains bootstrap sensitivity analysis of the logistic regression model for survival to ICU admission and hospital discharge outcomes in out-of-hospital cardiac arrest as shown in Table 4. Subgroup analysis of AGI-5198 dosage related to outcome of one-year survival is shown in Table 5.
Experimental design, materials and methods Medical records/reports accruing between years 2004 and 2011 were retrieved from the Taiwan National Health Insurance Research Database (NHIRD) for review. This repository releases anonymous secondary data for research purposes and houses all claims data from the National Health Insurance (NHI) program in Taiwan. Launched in 1995, the NHI provides coverage for >99% of the entire Taiwanese population of 23.74 million [2]. The database details all patient demographics and orders for medical care. Taiwan׳s NHI Bureau is responsible for comprehensive review of medical records and examination reports [3]. Disease diagnoses are coded according to the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM). The study protocol was approved by the National Taiwan University Hospital Research Ethics Committee.
Study design This retrospective, observational, and nationwide population-based cohort study of patients with non-traumatic cardiac arrest was designed to investigate the impact of amiodarone and lidocaine usage on survival outcomes. Subjects were selected entirely from the NHIRD, all undergoing DC shock and cardiopulmonary resuscitation during short emergency room stay between January, 2004 and December, 2011. Grounds for exclusion were stipulated as follows: 1) age <18 years, 2) trauma-related event, 3) emergency room stay >6h, or 4) non-level one triage. Patients were categorized and triaged into level-one if vital signs were extremely unstable and needed immediate resuscitation when presented to emergency department. Any known recipients of lidocaine or amiodarone (oral or intravenous) within 1 year previously were also excluded to minimize therapeutic interference. Patients were followed from cardiac arrest index date to 1-year survival status or death. Analysis was based on data from emergency rooms and hospitalization and not from ambulance or from resuscitation on the scene in the study [1].
Acknowledgments Acknowledgments: This study was supported by National Taiwan University Hospital, Taiwan (Grant number: 102TNY04).
Data Data provided in this article revealed diversity of diatom depending upon properties of habitat water and prevailing climatic conditions of water bodies from varied localities of Haryana (Supplementary Fig. 1).
Experimental design, materials and methods Water samples were collected from Morni Hills Tikkar Taal Lake, Panchkula; Tilyar Lake, Rohtak; Jawaharlal Nehru Canal, Rohtak; Kharawad Village Well, Rohtak; and Suraj Kund, Faridabad. The first sampling was conducted during winter season in the month of December 2013. The schedule was continued following spring (March), summer (June) and autumn (September) seasons in 2014. Changes in the physical characteristics of these water bodies have been depicted in Table 1. Temperature and pH of water were also recorded at the time of sampling (Tables 2 and 3).