A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width
Methods. This observational retrospective cohort study includes 318 ARDS patients extracted from an ICU database between the years of 2001 and 2008. Clinical factors including age, gender, comorbidity score, Sequential Organ Failure Assessment (SOFA) score, and PaO2/FiO2 ratio were chosen for the ba...
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Hindawi Limited
2020-01-01
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| Series: | Critical Care Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2020/3832683 |
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doaj-e1c9c0a3ff024419a307b2c8b046299c2020-11-25T01:27:03ZengHindawi LimitedCritical Care Research and Practice2090-13052090-13132020-01-01202010.1155/2020/38326833832683A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution WidthAla Alkhatib0Lori Lyn Price1Rania Esteitie2Peter LaCamera3Department of Medicine, Section of Pulmonary Diseases, Critical Care and Environmental Medicine, Tulane University Health Science Center, New Orleans, LA, USATufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USADepartment of Pulmonary and Critical Care, Covenant Healthcare, Saginaw, MI, USADepartment of Pulmonary and Critical Care, St. Elizabeth’s Medical Center, Boston, MA, USAMethods. This observational retrospective cohort study includes 318 ARDS patients extracted from an ICU database between the years of 2001 and 2008. Clinical factors including age, gender, comorbidity score, Sequential Organ Failure Assessment (SOFA) score, and PaO2/FiO2 ratio were chosen for the base model to predict ICU mortality. The RDW value at the time of ARDS diagnosis was added to the base model to determine if it improved its predictive ability. Results. 318 subjects were included; 113 (36%) died in the ICU. AUC for the base model without RDW was 0.76, and 0.78 following the addition of RDW [p=0.048]. The NRI was 0.46 (p=0.001), indicating that, in 46% of patients, the predictive probability of the model was improved by the inclusion of RDW. Conclusions. Adding RDW at time of ARDS diagnosis improved discrimination in a model using 4 clinical factors to predict ICU mortality.http://dx.doi.org/10.1155/2020/3832683 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ala Alkhatib Lori Lyn Price Rania Esteitie Peter LaCamera |
| spellingShingle |
Ala Alkhatib Lori Lyn Price Rania Esteitie Peter LaCamera A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width Critical Care Research and Practice |
| author_facet |
Ala Alkhatib Lori Lyn Price Rania Esteitie Peter LaCamera |
| author_sort |
Ala Alkhatib |
| title |
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width |
| title_short |
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width |
| title_full |
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width |
| title_fullStr |
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width |
| title_full_unstemmed |
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width |
| title_sort |
predictive model for acute respiratory distress syndrome mortality using red cell distribution width |
| publisher |
Hindawi Limited |
| series |
Critical Care Research and Practice |
| issn |
2090-1305 2090-1313 |
| publishDate |
2020-01-01 |
| description |
Methods. This observational retrospective cohort study includes 318 ARDS patients extracted from an ICU database between the years of 2001 and 2008. Clinical factors including age, gender, comorbidity score, Sequential Organ Failure Assessment (SOFA) score, and PaO2/FiO2 ratio were chosen for the base model to predict ICU mortality. The RDW value at the time of ARDS diagnosis was added to the base model to determine if it improved its predictive ability. Results. 318 subjects were included; 113 (36%) died in the ICU. AUC for the base model without RDW was 0.76, and 0.78 following the addition of RDW [p=0.048]. The NRI was 0.46 (p=0.001), indicating that, in 46% of patients, the predictive probability of the model was improved by the inclusion of RDW. Conclusions. Adding RDW at time of ARDS diagnosis improved discrimination in a model using 4 clinical factors to predict ICU mortality. |
| url |
http://dx.doi.org/10.1155/2020/3832683 |
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