The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. This explanation and elaboration document describes the rationale; clarifies the meaning of each item; and discusses why transparent reporting is important, with a view to assessing risk of bias and clinical usefulness of the prediction model. Each checklist item of the TRIPOD Statement is explained in detail and accompanied by published examples of good reporting. The document also provides a valuable reference of issues to consider when designing, conducting, and analyzing prediction model studies. To aid the editorial process and help peer reviewers and, ultimately, readers and systematic reviewers of prediction model studies, it is recommended that authors include a completed checklist in their submission. The TRIPOD checklist can also be downloaded from www.tripod-statement.org.

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Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Introduction: Ventilator-induced Lung Injury: Not Only Air Leaks Ventilation-induced Pulmonary Edema and Related Findings: A Historical Perspective Ventilation-induced Pulmonary Edema: Hydrostatic or Permeability Edema? Experimental Evidence for Increased Vascular Transmural Pressure Evidence for Alterations in Alveolar–Capillary Permeability Contributions of the Static and Dynamic Lung Volume Components to Ventilator-induced Edema High-volume Lung Edema Low Lung Volume Injury Effects of High-volume Ventilation on Abnormal Lungs Effects of High-volume Ventilation on Injured Lungs Interaction between Severe Alveolar Flooding and Mechanical Ventilation Effects of Resting the Lung on Ventilator-induced Lung Injury Possible Mechanisms of Ventilation-induced Lung Injury Mechanisms of Increased Vascular Transmural Pressure Mechanisms of Altered Permeability Clinical Relevance

Ventilator-induced lung injury: lessons from experimental studies.

Prediction models are developed to aid health-care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health-care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

https://www.bmj.com/content/bmj/350/bmj.g7594.full.pdf

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement

Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

Acute lung injury in humans is characterized histopathologically by neutrophilic alveolitis, injury of the alveolar epithelium and endothelium, hyaline membrane formation, and microvascular thrombi. Different animal models of experimental lung injury have been used to investigate mechanisms of lung injury. Most are based on reproducing in animals known risk factors for ARDS, such as sepsis, lipid embolism secondary to bone fracture, acid aspiration, ischemia-reperfusion of pulmonary or distal vascular beds, and other clinical risks. However, none of these models fully reproduces the features of human lung injury. The goal of this review is to summarize the strengths and weaknesses of existing models of lung injury. We review the specific features of human ARDS that should be modeled in experimental lung injury and then discuss specific characteristics of animal species that may affect the pulmonary host response to noxious stimuli. We emphasize those models of lung injury that are based on reproducing risk factors for human ARDS in animals and discuss the advantages and disadvantages of each model and the extent to which each model reproduces human ARDS. The present review will help guide investigators in the design and interpretation of animal studies of acute lung injury.

Animal models of acute lung injury.

Among the pathologic findings in infants succumbing to bronchopulmonary dysplasia are peribronchiolar and alveolar fibrosis. We examined the possibility that endogenously produced growth factors might contribute to these fibrotic changes through stimulation of fibroblast replication, with a resulting increase in collagen synthesis. We cultured fibroblasts from the lungs of prematurely delivered baboons and adult hamsters exposed to 100% oxygen and tested the media from these cells to see if they produced a factor(s) that was mitogenic to normal fibroblasts. We found that lung fibroblasts from baboons delivered prematurely at 140 days of gestation and ventilated for 6 days with 100% oxygen produced a factor(s) that supported fibroblast growth. A similar factor was also secreted by fibroblasts from normal term newborn baboon lungs and from the lungs of adult hamsters exposed to 100% oxygen for 4 to 8 days. Growth factor was not secreted by lung fibroblasts from 140-day non-breathing or 24-h-ventilated premature baboons, adult baboons, or hamsters not exposed oxygen. The growth-promoting substance is apparently a progression factor that is heat labile and inactivated by exposure to trypsin. These findings indicate that exposure of both the premature and adult lung to high concentrations of oxygen causes the elaboration of a growth factor that may induce fibroblast hyperplasia. This action may result in an increased production of connective tissue proteins and thereby contribute to the development of the fibrosis seen in bronchopulmonary dysplasia.

Production of a growth factor(s) by fibroblasts from the lungs of ventilated premature baboons and oxygen-exposed adult hamsters.

http://jap.physiology.org/content/jap/25/4/337.full.pdf

Richard J. King

Papers

Production of a growth factor(s) by fibroblasts from the lungs of ventilated premature baboons and oxygen-exposed adult hamsters.

Surface activity of lung washings: is surface-active material adsorbed on cells?