Accuracy of Malignant Hyperthermia Diagnoses in Hospital Discharge Records

Pinyavat, Teeda; Rosenberg, Henry; Lang, Barbara H.; Wong, Cynthia A.; Riazi, Sheila; Brady, Joanne E.; Sun, Lena S.; Li, Guohua

doi:10.1097/sa.0000000000000141

Cited by 4 publications

(10 citation statements)

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“…While other studies have reported the incidence and risk factors of perioperative pulmonary aspiration, the novelty of this study lies in the use of administrative data to supplement the QA data. To our knowledge, there are no pediatric studies of aspiration to date which employ secondary data sources to enhance capture of cases of aspiration, as well as no studies to assess the validity of ICD‐9 coding of perioperative aspiration either in children or adults …”

Section: Discussionmentioning

confidence: 69%

“…While other ICD‐9‐coded adverse events have been evaluated, validation of the accuracy of ICD‐9 codes for aspiration has not yet been performed . In our population of children who received anesthesia, the positive predictive value (PPV) of the 507.0 (pneumonitis due to inhalation of food or vomitus) ICD‐9 code was high (95%) for recognizing aspiration at some point during the hospitalization (including patients with aspiration as a reason for admission).…”

Section: Discussionmentioning

confidence: 99%

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Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data

Eisler

Huang

Lee

et al. 2018

Pediatric Anesthesia

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Quality assurance data offer an efficient way to measure the incidence of rare events, but may underestimate perioperative complications. International Classification of Diseases, Ninth Revision codes for aspiration used as a secondary data source were nonspecific for perioperative aspiration, but when combined with record review yielded a 30% increase in identified cases of aspiration over quality assurance data alone. The use of administrative data therefore holds potential for supplementing quality assurance studies of rare complications.

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Section: Discussionmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data

Eisler

Huang

Lee

et al. 2018

Pediatric Anesthesia

Self Cite

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“…Researchers who are using administrative databases to study the occurrence of MH events can improve specificity in their searches by collecting data that include the surgical procedure, anesthesia billing, and dantrolene sodium administration, in addition to searching for the ICD, ninth revision, (ICD‐9) 21 and ICD, tenth revision, (ICD‐10) 22 coding for MH diagnoses in hospital discharge records 27 …”

Section: Literature Reviewmentioning

confidence: 99%

Using Informatics to Improve the Care of Patients Susceptible to Malignant Hyperthermia

Denholm¹

2016

AORN Journal

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Perioperative nurses and nurse leaders should understand how to apply a nursing informatics framework and informatics concepts to strengthen data interpretation, transitions in care, and engagement with patients susceptible to malignant hyperthermia (MH) and their family members. Patient outcomes can be improved when informatics solutions facilitate identifying risks, clinical decision making in a crisis situation, retrieving priority information during transitions of care, and involving patients in planning care. Incorporating informatics solutions into existing quality improvement processes can help evaluate knowledge and preparedness related to managing care for a patient in an MH crisis. Informatics solutions can also help enhance interoperability by evaluating workflow related to transitions in care. Perioperative nurses and nurse leaders should advocate for diligence in submitting reports of MH-suspected events to databases. Improved data collection and data sharing enhance aggregated standardized data sets, which can advance research and increase the quality of evidence available with which to guide practice.

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“…and R.F. ; ). For confirmed cases, an MH raw score was calculated using the clinical grading scale .…”

Section: Methodsmentioning

confidence: 93%

An automated real‐time method for the detection of patients at risk for malignant hyperthermia

Gleich

Strupp

Wilder

et al. 2016

Pediatric Anesthesia

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Accuracy of Malignant Hyperthermia Diagnoses in Hospital Discharge Records

Cited by 4 publications

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Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data

Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data

Using Informatics to Improve the Care of Patients Susceptible to Malignant Hyperthermia

An automated real‐time method for the detection of patients at risk for malignant hyperthermia

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