The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report
Abstract Background The Hypotension Prediction Index (HPI) displays an innovative monitoring tool which predicts intraoperative hypotension before its onset. Case presentation We report the case of an 84-year-old Caucasian woman undergoing major spinal surgery with no possibility for the transfer of...
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| Format: | Article |
| Language: | English |
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BMC
2022-11-01
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| Series: | Journal of Medical Case Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13256-022-03653-8 |
| _version_ | 1828330341860900864 |
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| author | Sara Denn Emmanuel Schneck Fidaa Jablawi Michael Bender Götz Schmidt Marit Habicher Eberhard Uhl Michael Sander |
| author_facet | Sara Denn Emmanuel Schneck Fidaa Jablawi Michael Bender Götz Schmidt Marit Habicher Eberhard Uhl Michael Sander |
| author_sort | Sara Denn |
| collection | DOAJ |
| description | Abstract Background The Hypotension Prediction Index (HPI) displays an innovative monitoring tool which predicts intraoperative hypotension before its onset. Case presentation We report the case of an 84-year-old Caucasian woman undergoing major spinal surgery with no possibility for the transfer of blood products given her status as a Jehovah’s Witness. The hemodynamic treatment algorithm we employed was based on HPI and resulted in a high degree of hemodynamic stability during the surgical procedure. Further, the patient was not at risk for either hypo- or hypervolemia, conditions which might have caused dilution anemia. By using HPI as a tool for patient blood management, it was possible to reduce the incidence of intraoperative hypotension to a minimum. Conclusions In sum, this HPI-based treatment algorithm represents a useful application for the treatment of complex anesthesia and perioperative patient blood management. It is a simple but powerful extension of standard monitoring for the prevention of intraoperative hypotension. |
| first_indexed | 2024-04-13T20:39:01Z |
| format | Article |
| id | doaj.art-79a6dd45b3ff435f800cdd536969dd27 |
| institution | Directory Open Access Journal |
| issn | 1752-1947 |
| language | English |
| last_indexed | 2024-04-13T20:39:01Z |
| publishDate | 2022-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Medical Case Reports |
| spelling | doaj.art-79a6dd45b3ff435f800cdd536969dd272022-12-22T02:30:57ZengBMCJournal of Medical Case Reports1752-19472022-11-011611610.1186/s13256-022-03653-8The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case reportSara Denn0Emmanuel Schneck1Fidaa Jablawi2Michael Bender3Götz Schmidt4Marit Habicher5Eberhard Uhl6Michael Sander7Department of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, Justus Liebig University of GiessenDepartment of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, Justus Liebig University of GiessenDepartment of Neurosurgery, Justus Liebig University of GiessenDepartment of Neurosurgery, Justus Liebig University of GiessenDepartment of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, Justus Liebig University of GiessenDepartment of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, Justus Liebig University of GiessenDepartment of Neurosurgery, Justus Liebig University of GiessenDepartment of Anesthesiology, Operative Intensive Care Medicine and Pain Therapy, Justus Liebig University of GiessenAbstract Background The Hypotension Prediction Index (HPI) displays an innovative monitoring tool which predicts intraoperative hypotension before its onset. Case presentation We report the case of an 84-year-old Caucasian woman undergoing major spinal surgery with no possibility for the transfer of blood products given her status as a Jehovah’s Witness. The hemodynamic treatment algorithm we employed was based on HPI and resulted in a high degree of hemodynamic stability during the surgical procedure. Further, the patient was not at risk for either hypo- or hypervolemia, conditions which might have caused dilution anemia. By using HPI as a tool for patient blood management, it was possible to reduce the incidence of intraoperative hypotension to a minimum. Conclusions In sum, this HPI-based treatment algorithm represents a useful application for the treatment of complex anesthesia and perioperative patient blood management. It is a simple but powerful extension of standard monitoring for the prevention of intraoperative hypotension.https://doi.org/10.1186/s13256-022-03653-8Jehovah’s WitnessesBlood transfusionHemodynamic monitoringCase reportHypotensionHemodilution |
| spellingShingle | Sara Denn Emmanuel Schneck Fidaa Jablawi Michael Bender Götz Schmidt Marit Habicher Eberhard Uhl Michael Sander The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report Journal of Medical Case Reports Jehovah’s Witnesses Blood transfusion Hemodynamic monitoring Case report Hypotension Hemodilution |
| title | The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report |
| title_full | The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report |
| title_fullStr | The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report |
| title_full_unstemmed | The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report |
| title_short | The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah’s Witness: a case report |
| title_sort | use of artificial intelligence and machine learning monitoring to safely administer a fluid restrictive goal directed treatment protocol to minimize the risk of transfusion during major spine surgery of a jehovah s witness a case report |
| topic | Jehovah’s Witnesses Blood transfusion Hemodynamic monitoring Case report Hypotension Hemodilution |
| url | https://doi.org/10.1186/s13256-022-03653-8 |
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