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.

We measured pulmonary surfactant antigen by radioimmunoassay and phospholipid by lipid phosphorus assay in fluid collected during 12-hour periods from the trachea of lambs in utero between 102 and 147 days of gestation. Both phospholipid and antigen were detectable at 114 days and were present at low concentrations until 137 days. The concentrations then increased rapidly and reached 5- to 10-fold higher concentrations before parturition. The ratio of lipid phosphorus to antigen increased approximately 5-fold as the lungs passed from canalicular to alveolar architecture and approximated the adult ratio only during the alveolar stage of development.

Radioimmunoassay of Pulmonary Surface-Active Material in the Tracheal Fluid of the Fetal Lamb1, 2

Occurrence of glyceryl ethers in the phosphatidylcholine fraction of surfactant from dog lungs.

Effects of inhibiting protein synthesis on the secretion of surfactant by type II cells in primary culture.

An uncommon phosphatidylcholine specific for surface-active material in canine lung.

It is not coincidental that advances in the study of pulmonary surfactant have paralleled the growth of the Cardiovascular Research Institute, because much of our understanding of the physiologic and biochemical features of this material comes from the work carried out at the Cardiovascular Research Institute during the past 18 years. We now know that this pulmonary surfactant is composed, in large part, of phospholipid (1, 2); that the lipid composition gives this material very special and physiologically important physicochemical properties (3); that it is in rapid metabolic flux in the lung (4); and that its time of maturation in the fetal lung is closely related to the propensity for developing respiratory distress syndrome by the newborn infant (5). The physiologic functions of this material still occasionally stimulate debate (68). It seems to me, however, that recent experimental evidence (9) clearly confirms its ability to decrease the surface tension of the alveolar gas-liquid interface. For some years, several of us believed that pulmonary surfactant contained unique proteins (I 0). This speculation engendered some controversy (10, II), which is not yet completely resolved. In fairness to proponents of opposing viewpoints, the case for specificity was first based on faith in methodology and purification techniques (12), rather than on convincing physiologic evidence. In the interim, the arguments

Richard J. King

Papers

Radioimmunoassay of Pulmonary Surface-Active Material in the Tracheal Fluid of the Fetal Lamb1, 2

Occurrence of glyceryl ethers in the phosphatidylcholine fraction of surfactant from dog lungs.

Effects of inhibiting protein synthesis on the secretion of surfactant by type II cells in primary culture.

An uncommon phosphatidylcholine specific for surface-active material in canine lung.

Metabolic Fate of the Apoproteins of Pulmonary Surfactant1, 2