The effectiveness of the pregnancy adapted YEARS algorithm to safely identify patients for CT pulmonary angiogram in pregnant and puerperal patients suspected of having pulmonary embolism

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Study Justification:
– Pulmonary thromboembolism is a leading cause of maternal death worldwide.
– CT pulmonary angiogram is commonly used for diagnosing and excluding pulmonary thromboembolism.
– However, CT scans involve high radiation exposure and have a low diagnostic yield.
– The pregnancy-adapted YEARS algorithm has shown promise in international studies as an alternative for risk stratification during pregnancy and the postpartum period.
Highlights:
– A cross-sectional study was conducted at Kalafong Provincial Tertiary Hospital in Gauteng.
– Pregnant and puerperal patients suspected of having pulmonary embolism were included.
– The pregnancy-adapted YEARS algorithm was retrospectively applied to determine its effectiveness.
– The algorithm showed a potential reduction of 25.7% in CT scans while maintaining a 100.0% negative predictive value.
Recommendations:
– Consider implementing the pregnancy-adapted YEARS algorithm in clinical practice to aid in decision-making for pregnant and puerperal patients suspected of having pulmonary embolism.
– Educate healthcare professionals about the algorithm and its potential benefits in reducing unnecessary CT scans.
– Conduct further research to validate the findings and assess the algorithm’s impact on patient outcomes.
Key Role Players:
– Radiologists and radiology department staff
– Obstetricians and gynecologists
– Emergency department physicians
– Clinical researchers and data analysts
– Hospital administrators and policymakers
Cost Items for Planning Recommendations:
– Training and education materials for healthcare professionals
– Research funding for further studies and validation
– Data collection and analysis tools
– Implementation and integration of the algorithm into existing clinical systems
– Quality assurance and monitoring processes to ensure adherence to the algorithm

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study is a cross-sectional study conducted at a tertiary hospital, which provides some level of reliability. The retrospective application of the pregnancy adapted YEARS algorithm and the review of outcomes contribute to the strength of the evidence. However, the abstract does not provide information on the sample size, the methodology used to apply the algorithm, or the statistical analysis performed. To improve the evidence, the study could include a larger sample size, a clear description of the methodology, and a detailed statistical analysis to support the findings.

Background: Pulmonary thromboembolism is one of the leading causes of maternal death worldwide. Globally there has been increasing physician reliance on CT pulmonary angiogram for definitive diagnoses and exclusion of pulmonary thromboembolism. The problem, however, arises when considering the high radiation penalty from performing these investigations, highlighted by the low diagnostic yield. Of recent, the pregnancy-adapted YEARS algorithm has shown promise in international studies as a possible alternative for stratifying risk of pulmonary thromboembolism during the pregnancy and puerperal period. Objectives: To determine the effectiveness of the pregnancy adapted YEARS algorithm to safely minimise the number of true negative CT pulmonary angiograms for patients suspected of having pulmonary embolism in our clinical setting. Method: A cross-sectional study was performed in a tertiary hospital in Gauteng on puerperal and pregnant patients suspected of having pulmonary embolism. We retrospectively applied the pregnancy adapted YEARS algorithm and reviewed the various outcomes. Results: The pregnancy adapted YEARS algorithm proved effective in safely identifying patients for CT pulmonary angiography. By retrospectively applying the algorithm, there could have been a 25.7% scan reduction, whilst maintaining a negative predictive value of 100.0%. Conclusion: As physician reliance on radiological investigations increases, we must remain cognisant of the added radiation exposure and the long-term adverse effects of ionising radiation. The pregnancy-adapted YEARS algorithm provides a safe, reproducible alternative to aid our bid going forward.

This was a cross-sectional study performed at Kalafong Provincial Tertiary Hospital Department of Radiology. In-patients presenting with suspected pulmonary embolism in the pregnancy and puerperal periods who underwent CT pulmonary angiogram at Kalafong Provincial Tertiary Hospital Radiology Department from 1 June 2017 to 1 June 2020 were considered for the study. A list of patients who underwent CT pulmonary angiograms in the stipulated time frame was compiled from the Phillips Intellispace portal (ISP) study list. Corresponding electronic reports were available from March 2019 onwards on the ISP. Studies performed prior to this were accessed from the printed and filed reports at the Kalafong Department of Radiology and were physically reviewed in the department. The study list was then abbreviated to include only patients during the pregnancy and puerperal periods who met the inclusion criteria. Patient files were reviewed on site and D-dimer results were retrieved from the national health laboratory service (NHLS) online portal using the patient’s demographic information available from the patient study list. The pregnancy-adapted YEARS algorithm used to aid clinical decision making is detailed in Figure 1. The pregnancy-adapted YEARS algorithm uses a step wise approach based on clinical findings, D-dimer values and compression ultrasonography to guide clinicians as to whether further radiological workup with CT pulmonary angiogram is necessary. Pregnancy-adapted YEARS algorithm. A retrospective comparison was made with regard to the CTPA outcome and the pregnancy-adapted YEARS algorithm criteria. Patient demographic and clinical information was tabulated, in addition to the outcome of their CT pulmonary angiogram and D-dimer levels during hospital stay using Google Sheets. Clinical information required included: For quantitative measurement, CT report findings were assigned Boolean values: Patients were further categorised according to the pregnancy-adapted YEARS algorithm as either: The research was approved by the Ethics Review Panel of the University of Pretoria (REC #377/2021) prior to data collection. Permission was also granted by the medical manager of Kalafong Provincial Tertiary Hospital to access patient records and radiological investigations.

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Based on the provided information, here are some potential innovations that can be used to improve access to maternal health:

1. Implementation of the pregnancy-adapted YEARS algorithm: The pregnancy-adapted YEARS algorithm has shown promise in safely identifying patients for CT pulmonary angiography. This algorithm can be implemented in clinical settings to help healthcare providers stratify the risk of pulmonary thromboembolism during pregnancy and the puerperal period, reducing the need for unnecessary CT scans.

2. Integration of electronic health records (EHR): By integrating EHR systems, healthcare providers can easily access and review patient information, including D-dimer results and previous radiological investigations. This can streamline the decision-making process and improve the efficiency of maternal health care.

3. Telemedicine and remote consultations: Implementing telemedicine and remote consultations can improve access to maternal health care, especially for patients in remote or underserved areas. Pregnant and puerperal patients can consult with healthcare providers remotely, reducing the need for unnecessary travel and improving access to timely medical advice.

4. Mobile health (mHealth) applications: Developing mHealth applications specifically designed for maternal health can provide pregnant and puerperal patients with access to educational resources, appointment reminders, and personalized health information. These applications can empower patients to take an active role in their own healthcare and improve overall maternal health outcomes.

5. Collaborative care models: Implementing collaborative care models that involve multidisciplinary teams can improve access to comprehensive maternal health care. By involving obstetricians, radiologists, nurses, and other healthcare professionals, patients can receive coordinated and holistic care, ensuring their needs are met throughout the pregnancy and puerperal period.

It’s important to note that the specific implementation of these innovations may vary depending on the healthcare setting and available resources.
AI Innovations Description
Based on the provided information, the recommendation to improve access to maternal health is to implement the pregnancy-adapted YEARS algorithm for the identification and management of pulmonary thromboembolism in pregnant and puerperal patients suspected of having pulmonary embolism. This algorithm has shown promise in international studies as a safe and effective alternative to CT pulmonary angiogram, which carries a high radiation penalty and low diagnostic yield.

The algorithm uses a stepwise approach based on clinical findings, D-dimer values, and compression ultrasonography to guide clinicians in determining whether further radiological workup with CT pulmonary angiogram is necessary. By applying this algorithm, there could potentially be a significant reduction in the number of unnecessary CT pulmonary angiograms while maintaining a high negative predictive value.

To implement this recommendation, healthcare facilities and providers should be trained on the use of the pregnancy-adapted YEARS algorithm and its application in the evaluation of pregnant and puerperal patients suspected of having pulmonary embolism. This may involve conducting workshops, providing educational materials, and incorporating the algorithm into clinical guidelines and protocols.

Additionally, healthcare systems should ensure that the necessary resources, such as D-dimer testing and compression ultrasonography, are readily available and accessible for the evaluation of pregnant and puerperal patients. Collaboration between obstetricians, radiologists, and other relevant healthcare professionals is essential to ensure the successful implementation and integration of the algorithm into routine clinical practice.

By adopting the pregnancy-adapted YEARS algorithm, healthcare providers can improve access to maternal health by reducing unnecessary radiation exposure, minimizing healthcare costs, and optimizing the use of resources while maintaining patient safety and quality of care.
AI Innovations Methodology
Based on the provided information, the study aims to determine the effectiveness of the pregnancy adapted YEARS algorithm in minimizing the number of unnecessary CT pulmonary angiograms for pregnant and puerperal patients suspected of having pulmonary embolism. The methodology used in the study is a retrospective cross-sectional analysis of patient data from a tertiary hospital in Gauteng.

To simulate the impact of recommendations on improving access to maternal health, a potential methodology could include the following steps:

1. Identify the specific recommendations: Based on the study findings and objectives, identify the recommendations that can improve access to maternal health. For example, one recommendation could be the implementation of the pregnancy adapted YEARS algorithm as a standard screening tool for pregnant and puerperal patients suspected of having pulmonary embolism.

2. Define the target population: Determine the target population for the recommendations. In this case, it would be pregnant and puerperal patients suspected of having pulmonary embolism.

3. Collect baseline data: Gather relevant data on the current access to maternal health for the target population. This could include information on the number of CT pulmonary angiograms performed, the associated radiation exposure, and the diagnostic yield.

4. Simulate the impact of the recommendations: Use modeling techniques to simulate the potential impact of implementing the recommendations on improving access to maternal health. This could involve creating a simulation model that takes into account factors such as the reduction in unnecessary CT pulmonary angiograms, the associated radiation exposure reduction, and the potential improvement in diagnostic accuracy.

5. Analyze the results: Evaluate the simulated results to assess the potential impact of the recommendations on improving access to maternal health. This could include quantifying the reduction in unnecessary procedures, estimating the reduction in radiation exposure, and assessing the potential improvement in diagnostic accuracy.

6. Validate the simulation: Validate the simulation results by comparing them with real-world data or conducting further studies to assess the actual impact of implementing the recommendations.

7. Refine and iterate: Based on the simulation results and validation, refine the recommendations if necessary and iterate the simulation to assess the impact of any modifications.

By following this methodology, researchers and policymakers can gain insights into the potential impact of recommendations on improving access to maternal health and make informed decisions on implementing innovative solutions.

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