When the fever will not stop, stop the pills! A case report
CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.PMID:38055420 | PMC:PMC10703491 | DOI:10.1590/1516-3180.2022.0401.R1.13032023 (Source: Sao Paulo Medical Journal)
Source: Sao Paulo Medical Journal - December 6, 2023 Category: General Medicine Authors: C ésar Ricardo Coimbra de Matos Eduarda Maria da Concei ção Sério Pereira Beirão Rafael Sim ões Neves Ant ónio José Assunção Rui Moreira Marques Source Type: research
When the fever will not stop, stop the pills! A case report
CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.PMID:38055420 | PMC:PMC10703491 | DOI:10.1590/1516-3180.2022.0401.R1.13032023 (Source: Sao Paulo Medical Journal)
Source: Sao Paulo Medical Journal - December 6, 2023 Category: General Medicine Authors: C ésar Ricardo Coimbra de Matos Eduarda Maria da Concei ção Sério Pereira Beirão Rafael Sim ões Neves Ant ónio José Assunção Rui Moreira Marques Source Type: research
When the fever will not stop, stop the pills! A case report
CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.PMID:38055420 | PMC:PMC10703491 | DOI:10.1590/1516-3180.2022.0401.R1.13032023 (Source: Sao Paulo Medical Journal)
Source: Sao Paulo Medical Journal - December 6, 2023 Category: General Medicine Authors: C ésar Ricardo Coimbra de Matos Eduarda Maria da Concei ção Sério Pereira Beirão Rafael Sim ões Neves Ant ónio José Assunção Rui Moreira Marques Source Type: research
When the fever will not stop, stop the pills! A case report
CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.PMID:38055420 | PMC:PMC10703491 | DOI:10.1590/1516-3180.2022.0401.R1.13032023 (Source: Sao Paulo Medical Journal)
Source: Sao Paulo Medical Journal - December 6, 2023 Category: General Medicine Authors: C ésar Ricardo Coimbra de Matos Eduarda Maria da Concei ção Sério Pereira Beirão Rafael Sim ões Neves Ant ónio José Assunção Rui Moreira Marques Source Type: research
When the fever will not stop, stop the pills! A case report
CONCLUSION: Antipsychotic agents are commonly employed to manage behavioral changes linked to various disorders. However, their severe side effects necessitate a high degree of vigilance, the cessation of all medications, and the implementation of supportive care measures. A prompt and accurate diagnosis of NMS is crucial to alleviating the severe, prolonged morbidity and potential mortality associated with this syndrome.PMID:38055420 | PMC:PMC10703491 | DOI:10.1590/1516-3180.2022.0401.R1.13032023 (Source: Sao Paulo Medical Journal)
Source: Sao Paulo Medical Journal - December 6, 2023 Category: General Medicine Authors: C ésar Ricardo Coimbra de Matos Eduarda Maria da Concei ção Sério Pereira Beirão Rafael Sim ões Neves Ant ónio José Assunção Rui Moreira Marques Source Type: research
A multicentre point prevalence study of delirium assessment and management in patients admitted to Australian and New Zealand intensive care units
Conclusions: On the study day, more than 50% of patients had a delirium screening assessment performed, with 20% of screened patients deemed to have delirium. Drugs that are prescribed to treat delirium and physical restraints were frequently used in the absence of delirium or the formal assessment for its presence.PMID:38046881 | PMC:PMC10692531 | DOI:10.51893/2020.4.OA8 (Source: Critical Care and Resuscitation)
Source: Critical Care and Resuscitation - December 4, 2023 Category: Intensive Care Authors: Melissa J Ankravs Andrew A Udy Kathleen Byrne Serena Knowles Naomi Hammond Manoj K Saxena Michael C Reade Michael Bailey Rinaldo Bellomo Adam M Deane George Institute for Global Health and the Australian and New Zealand Intensive Care Society Clinical Tri Source Type: research
pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox
Clin Pharmacol Ther. 2023 Dec 1. doi: 10.1002/cpt.3114. Online ahead of print.ABSTRACTpyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine learning (ML) algorithms and NONMEM to perform a global search in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability. In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we...
Source: Clinical Pharmacology and Therapeutics - December 1, 2023 Category: Drugs & Pharmacology Authors: Xinnong Li Mark Sale Keith Nieforth Kristin L Bigos James Craig Fenggong Wang Kairui Feng Meng Hu Robert Bies Liang Zhao Source Type: research
pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox
Clin Pharmacol Ther. 2023 Dec 1. doi: 10.1002/cpt.3114. Online ahead of print.ABSTRACTpyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine learning (ML) algorithms and NONMEM to perform a global search in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability. In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we...
Source: Clinical Pharmacology and Therapeutics - December 1, 2023 Category: Drugs & Pharmacology Authors: Xinnong Li Mark Sale Keith Nieforth Kristin L Bigos James Craig Fenggong Wang Kairui Feng Meng Hu Robert Bies Liang Zhao Source Type: research
pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox
Clin Pharmacol Ther. 2023 Dec 1. doi: 10.1002/cpt.3114. Online ahead of print.ABSTRACTpyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine learning (ML) algorithms and NONMEM to perform a global search in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability. In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we...
Source: Clinical Pharmacology and Therapeutics - December 1, 2023 Category: Drugs & Pharmacology Authors: Xinnong Li Mark Sale Keith Nieforth Kristin L Bigos James Craig Fenggong Wang Kairui Feng Meng Hu Robert Bies Liang Zhao Source Type: research
pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox
Clin Pharmacol Ther. 2023 Dec 1. doi: 10.1002/cpt.3114. Online ahead of print.ABSTRACTpyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine learning (ML) algorithms and NONMEM to perform a global search in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability. In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we...
Source: Clinical Pharmacology and Therapeutics - December 1, 2023 Category: Drugs & Pharmacology Authors: Xinnong Li Mark Sale Keith Nieforth Kristin L Bigos James Craig Fenggong Wang Kairui Feng Meng Hu Robert Bies Liang Zhao Source Type: research
