Awake malignant hyperthermia–spectrum presentation in a preterm neonate

Awake malignant hyperthermia–spectrum presentation in a preterm neonate | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Case Report Awake malignant hyperthermia–spectrum presentation in a preterm neonate Nihat demir, Ozden Durmus Gönültas This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8993479/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract Background: Malignant hyperthermia (MH) is a life-threatening pharmacogenetic disorder of skeletal muscle calcium regulation, classically triggered by volatile anesthetics or succinylcholine. Increasing evidence suggests that MH susceptibility may manifest outside the operating room under specific physiological stress conditions. Case presentation: We report a 35+6-week preterm neonate who developed an abrupt hyper-metabolic crisis characterized by hyperthermia, generalized muscle rigidity, severe hypercapnia, metabolic acidosis, hyperkalemia, and elevated creatine kinase levels temporally associated with nebulized beta-adrenergic stimulation, in the absence of known anesthetic triggers. Infectious, venti-latory, and environmental causes were systematically excluded. Serial laboratory analysis showed an initial lactate rise with rapid normalization and a progressive decline in creatine kinase levels. The Malignant Hyperthermia Clinical Grading Scale yielded a raw score of 56 (almost certain MH). The infant improved with supportive treatment without dantrolene and recovered fully. Conclusions: MH-compatible hypermetabolic crises can occur in preterm neonates outside anesthetic settings. Unexplained hypercapnia with hyperthermia and metabolic instability should prompt early consideration of MH in NICUs, even when no anesthetic triggers are present. Malignant hyperthermia neonate hypercapnia hypermetabolic crisis RYR1 beta-adrenergic stimulation Figures Figure 1 Background Malignant hyperthermia (MH) is a rare but potentially fatal pharmacogenetic disorder caused by dysregulated intracellular calcium release from the sarcoplasmic reticulum of skeletal muscle, most commonly triggered by volatile anesthetic agents and depolarizing neuromuscular blockers [1, 3]. Clinically, MH presents with hyperthermia, generalized muscle rigidity, hypercapnia, metabolic acidosis, hyperkalemia, and rhabdomyolysis. Emerging evidence suggests that MH susceptibility represents a broader spectrum of skeletal muscle calcium channelopathies, often associated with RYR1 variants, and that non-anesthetic manifestations (stress-induced or “awake” hypermetabolic episodes) may occur [4, 6]. These presentations remain underrecognized in NICUs, particularly in preterm infants. We report a preterm neonate who developed an acute hypermetabolic crisis compatible with MH, temporally associated with beta-adrenergic stimulation and without exposure to classical anesthetic triggers, and we align the discussion with PubMed-indexed guidelines and case series to provide a practical diagnostic and management framework [2]. Case presentation Patient information: Male neonate born at 35+6 weeks’ gestation via cesarean section for maternal indications; birth weight 2320g (appropriate for gestational age). Apgar scores were 8 and 9 at 1 and 5 minutes, respectively. He was admitted to the NICU for prematurity-related respiratory monitoring. There was no consanguinity between parents. Timeline and trigger: On postnatal day 28, nebulized salbutamol was given for mild wheezing and increased respiratory effort. Within approximately 5 minutes, the clinical status deteriorated rapidly. Clinical findings: Abrupt hyperthermia (39.5◦C), generalized muscle rigidity, tachycardia (>200/min), and rapidly progressive respiratory failure; the patient was intubated. Diagnostic assessment (first hour): • Capillary blood gas: pH 7.19, pCO2 65mmHg, HCO3 20.6mmol/L, BE −3.4. • Biochemistry: K+ 7.7mmol/L, CK 1307U/L, AST 162U/L. • Lactate: 4.9mmol/L. • Infection markers: CRP negative (0.41mg/dL), no left shift on peripheral smear, and no growth in blood cultures. Working diagnosis: The constellation of unexplained hypercapnia with metabolic/respiratory acidosis, hyperkalemia, CK elevation, and rigidity in the absence of anesthetic exposure is most consistent with an MH/MH-like crisis. Rigidity may be subtle in neonates; therefore, unexplained hypercapnia with a rapid rise in CO2 should be emphasized as an early bedside clue (consistent with published case reports and guidelines). MH Clinical Grading Scale: The raw score calculated using the Malignant Hyperthermia Clinical Grading Scale (MHAUS) was 56 (Table 1), corresponding to an “almost certain” likelihood of MH [10]. Initial approach: Airway and ventilation optimization, active cooling, correction of acido-sis/electrolyte abnormalities (especially hyperkalemia), and monitoring for rhabdomyolysis and renal injury [1, 2]. Antipyretic response: There was no response to standard-dose IV paracetamol or ibuprofen, with improvement only after dose escalation. Fever may be a late sign in MH, and antipyretic effectiveness in MH-related hyperthermia is uncertain; therefore, lack of response does not exclude MH [11]. Specific therapy and diagnostic delay: Because non-anesthetic MH is rare in neonates and the misconception that “MH cannot occur without anesthesia,” there was an initial diagnostic delay. Dantrolene was available but was not administered early due to insuficient clinical suspicion. After approximately 36 hours of active cooling and supportive care, the fever was controlled, and the patient improved rapidly and was extubated. Discussion Interpretation of the clinical phenotype. In this case, the rapid onset of hyperthermia, generalized rigidity, severe hypercapnia, metabolic acidosis, hyperkalemia, and CK elevation without exposure to anesthetic triggers suggests an acute, dysregulated skeletal muscle hypermetabolic crisis. Although the CK rise was modest compared with some anesthetic-triggered MH cases, even limited CK increases may be clinically meaningful in neonates; the relatively modest elevation may reflect early intervention and differences in neonatal muscle mass. The stepwise decline in CK and rapid lactate normalization (Figure 1) support an acute, transient muscle hypermetabolic event. In adults with anesthetic-triggered MH, CK elevations used in the Clinical Grading Scale are typically >20,000 U/L, whereas neonatal CK values are physiologically higher and age-dependent in the first days of life with wide reference ranges (e.g., cord blood 70–380 U/L; 5–8 h 214–1175 U/L; 24–33 h 130–1200 U/L; 72–100 h 87–725 U/L); this variability limits a single neonatal MH-specific CK threshold and supports cautious interpretation in newborns. [12–14] The negative infection markers and abrupt clinical decompensation further strengthen the likelihood of a non-anesthetic/“awake” MH spectrum presentation. Because hyperthermia may be a late sign in MH, unexplained CO2 elevation (ETCO2/pCO2) together with acidosis should be emphasized as an early diagnostic clue. Clinical Grading Scale in a non-anesthetic context. Although the MHAUS Clinical Grading Scale was developed for anesthetic-triggered MH, the high score in this case objectively supports a very high clinical probability in a non-anesthetic hypermetabolic presentation. Potential trigger and pathophysiologic rationale. Classic MH is triggered by volatile anesthetics and/or succinylcholine; however, “awake” episodes in MH-susceptible individuals have been reported under non-anesthetic conditions such as febrile illness, exertion/heat stress, and intense adrenergic stimulation [4, 7–9]. In this context, the very close temporal relationship to neb-ulized salbutamol in our case warrants heightened clinical suspicion of an adrenergic contribution, while remaining non-causal: beta-agonists are not established MH triggers, but heightened sympathetic drive and increased metabolic demand can theoretically lower the crisis threshold in susceptible muscle, particularly when there is underlying RYR1-related susceptibility. This report does not claim causality; it emphasizes a temporally tight association within a compatible phenotype, framed by literature on non-anesthetic MH presentations and the overlap with exertional rhabdomyolysis/heat illness [7–9]. Critical red flags in the differential diagnosis. In neonates, sepsis/pneumonia, environmental hyperthermia, ventilatory malfunction, metabolic disorders, and neurologic causes are more common and should be systematically excluded first. Neuroleptic malignant syndrome is very unlikely in this age group and requires an appropriate drug exposure history. In this case, the combination of rapidly rising hypercapnia, hyperkalemia, CK/AST elevation, and rigidity markedly increases the likelihood of an MH/MH-like crisis. Persistently rising CO2 despite appropriate ventilator settings, together with hyperkalemia and CK elevation, is a practical red flag distinguishing MH from ventilatory problems. Management lessons and system-level implications. Clinical stabilization occurred rapidly. Following active cooling, ventilatory optimization, and correction of metabolic derangements, the infant improved quickly and was extubated within 36 hours, supporting the interpretation of a transient hypermetabolic crisis rather than a progressive infectious or structural cause. Risk– benefit assessment in a neonate. In preterm neonates, dantrolene carries practical and physiologic considerations (hemodynamic instability, respiratory weakness, and medication preparation delays in NICU workflows). In this case, supportive measures achieved rapid stabilization while diagnostic certainty was evolving. Retrospective high suspicion and dantrolene decision. With hindsight, the presentation met a high-probability MH phenotype and would ordinarily warrant early dantrolene. We did not administer it because of delayed suspicion and the rapid clinical response to supportive care, but we emphasize that this should not be generalized: unexplained acute hypercapnia–acidosis– hyperkalemia should still trigger an early recognition–early dantrolene reflex, with prompt preparation and low threshold for administration when MH is suspected [1, 2]. Next steps. After stabilization, family history review, counseling on potential triggers, and genetic evaluation (RYR1/CACNA1S) should be considered when feasible; in this case, genetic testing was offered but not feasible (logistical/financial constraints). Muscle biopsy (contracture testing) is not routinely performed in neonates and is rarely practical in the acute setting. Although genetic confirmation was not feasible, current consensus emphasizes that acute MH remains a clinical diagnosis and treatment must not be delayed pending confirmatory testing. Clear documentation of MH suspicion will also support safe anesthetic planning for future procedures. Conclusions Hypermetabolic crises compatible with malignant hyperthermia can occur in preterm neonates outside anesthetic settings. Unexplained hypercapnia with hyperthermia and metabolic instability should prompt early consideration of MH, even when no known triggering agents are present. Abbreviations MH Malignant hyperthermia CK Creatine kinase NICU Neonatal intensive care unit. Declarations Ethics approval and consent to participate Not applicable for a single case report. Consent for publication Written informed consent for publication was obtained from the parents. Availability of data and materials Not applicable. Competing interests None declared. Funding No specific funding received. Authors’ contributions ND conceptualized and drafted the manuscript. All authors revised and approved the final version. Acknowledgements We thank Nüpelda Melis Demir (Biruni University Faculty of Medicine, 2nd-year student, Istanbul, Turkey) for assistance. References (PubMed-indexed; in-text cited) References Rosenberg H, Pollock N, Schiemann A, Bulger T, Stowell K. Malignant hyperthermia: a review. Orphanet J Rare Dis. 2015;10:93. Glahn K, Ellis FR, Halsall PJ, et al. Recognizing and managing a malignant hyperthermia crisis: guidelines from the European Malignant Hyperthermia Group. Br J Anaesth. 2010;105:417–20. Litman RS, Rosenberg H. Malignant hyperthermia: update on susceptibility testing. Anesthesi-ology. 2018;128(1):159–67. Zvaritch E, et al. Fatal awake malignant hyperthermia episodes in a family with MH susceptibility. Can J Anaesth. 2019;66(5):540–5. Tsutsumi YM, et al. Malignant hyperthermia in a 16-day-old infant. J Anesth. 2021;35(2):311–4. Cummings T, Der T, Karsli C. Repeated nonanesthetic malignant hyperthermia reactions in a child. Paediatr Anaesth. 2016;26(12):1202–3. 10.1111/pan.13006 . Tobin JR, Jason DR, Challa VR, Nelson TE, Sambuughin N. Malignant hyperthermia and apparent heat stroke. JAMA. 2001;285(2):168–9. 10.1001/jama.285.2.168 . Capacchione JF, Muldoon SM. Is there a link between malignant hyperthermia and exertional heat illness? Br J Sports Med. 2009;43(4):283–4. 10.1136/bjsm.2008.053371 . Lavezzi WA, et al. Exercise-induced rhabdomyolysis and stress-induced malignant hyperthermia events, association with malignant hyperthermia susceptibility, and RYR1 gene sequence variations. ScientificWorldJournal. 2013;2013:930142. 10.1155/2013/930142 . Larach MG, Localio AR, Allen GC, et al. A clinical grading scale to predict malignant hyper-thermia susceptibility. Anesthesiology. 1994;80(4):771–9. Malignant Hyperthermia Association of the United States (MHAUS). What evidence-based in-terventions are recommended to alleviate hyperthermia associated with malignant hyperthermia? MHAUS Recommendations. 2018. [Internet]. Rosenberg H, Sambuughin N, Riazi S. Malignant hyperthermia susceptibility (table: clinical grading scale laboratory findings). GeneReviews. Updated 2025. [Internet]. https://www.ncbi.nlm.nih.gov/books/NBK1146/table/mhs.T.criteria_used_in_the_clinical_grad/ Walker V. Neonatal and paediatric biochemistry. In: Marks V, editor. Scientific Foundations of Biochemistry in Clinical Practice. 2nd ed. London: Butterworth-Heinemann; 1994. pp. 292–315. 10.1016/B978-0-7506-0167-2.50022-4 . Clifford SM, Bunker AM, Jacobsen JR, Roberts WL. Age and gender specific pediatric reference intervals for aldolase, amylase, ceruloplasmin, creatine kinase, pancreatic amylase, prealbumin, and uric acid. Clin Chim Acta. 2011;412(9–10):788–790. 10.1016/j.cca. 2011.01.011. Note: Direct neonatal case reports linking salbutamol/beta-agonist–triggered awake MH are limited/heterogeneous in PubMed; therefore, the additional references above were included to support the broader non-anesthetic/awake MH spectrum and stress/heat/exertion-related triggering (PubMed/PMC-indexed). 8. Note: Direct neonatal case reports linking “salbutamol/beta-agonist–triggered awake MH” are limited/heterogeneous in PubMed; therefore, the additional references above were included to support the broader non-anesthetic/“awake” MH spectrum and stress/heat/exertion-related triggering (PubMed/PMC-indexed). Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 11 May, 2026 Reviewers invited by journal 15 Mar, 2026 Editor assigned by journal 15 Mar, 2026 Editor invited by journal 09 Mar, 2026 Submission checks completed at journal 07 Mar, 2026 First submitted to journal 07 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8993479","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Case Report","associatedPublications":[],"authors":[{"id":606455913,"identity":"61fc132b-3c7d-46c3-a3bd-d90ea996d89c","order_by":0,"name":"Nihat demir","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+ElEQVRIiWNgGAWjYDCCA2AkkcDAwHz8x8cGkBBj4wHitLCxJUjObGCQAGppIKgFBIBaeAykecFa4ILYAd/x7sTDlTss8vjnNxgY2+6wqdNtPwy0pcYmGpcWyTNnNxw8e0aiWOIYQ0Jy7pk0CbMziUAtx9JyG3BoMbiRu+FgY5tEYsMxhgOHc9sOS5gdAGphbDiMW8v9txAt848xNjZbgrScf0hAyw1eiJYNx5iZmRlBWm4QsEXyDNRhG4+lsTH2tqVJbrsBtCUBj1/4jp/d/LGxrS5x3uHz3xh+ttnwm51Pf/jgQ40NTi04QAJpykfBKBgFo2AUoAEArOls8jVItboAAAAASUVORK5CYII=","orcid":"","institution":"University of İstinye, İstanbul, Turkey","correspondingAuthor":true,"prefix":"","firstName":"Nihat","middleName":"","lastName":"demir","suffix":""},{"id":606455914,"identity":"4284bd93-677a-4449-9efe-6d033386a38c","order_by":1,"name":"Ozden Durmus Gönültas","email":"","orcid":"","institution":"University of İstinye, İstanbul, Turkey","correspondingAuthor":false,"prefix":"","firstName":"Ozden","middleName":"Durmus","lastName":"Gönültas","suffix":""}],"badges":[],"createdAt":"2026-02-28 08:53:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8993479/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8993479/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104878809,"identity":"4f24585c-2ffe-4452-a5a8-948740795340","added_by":"auto","created_at":"2026-03-18 08:58:28","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":27064,"visible":true,"origin":"","legend":"\u003cp\u003eTemporal trend of creatine kinase (CK) and lactate following the hypermetabolic crisis (graph and summary table).\u003c/p\u003e","description":"","filename":"Screenshot20260318041351.png","url":"https://assets-eu.researchsquare.com/files/rs-8993479/v1/ba659948be6afdb4da4a9745.png"},{"id":104878977,"identity":"fa9c993d-d981-4e62-b82d-97f153ccd8f4","added_by":"auto","created_at":"2026-03-18 08:59:25","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":307185,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8993479/v1/63fc8eeb-739a-486f-bac5-3312f7b0d21b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Awake malignant hyperthermia–spectrum presentation in a preterm neonate","fulltext":[{"header":"Background","content":"\u003cp\u003eMalignant hyperthermia (MH) is a rare but potentially fatal pharmacogenetic disorder caused by dysregulated intracellular calcium release from the sarcoplasmic reticulum of skeletal muscle, most commonly triggered by volatile anesthetic agents and depolarizing neuromuscular blockers [1, 3]. Clinically, MH presents with hyperthermia, generalized muscle rigidity, hypercapnia, metabolic acidosis, hyperkalemia, and rhabdomyolysis. Emerging evidence suggests that MH susceptibility represents a broader spectrum of skeletal muscle calcium channelopathies, often associated with RYR1 variants, and that non-anesthetic manifestations (stress-induced or \u0026ldquo;awake\u0026rdquo; hypermetabolic episodes) may occur [4, 6]. These presentations remain underrecognized in NICUs, particularly in preterm infants. We report a preterm neonate who developed an acute hypermetabolic crisis compatible with MH, temporally associated with beta-adrenergic stimulation and without exposure to classical anesthetic triggers, and we align the discussion with PubMed-indexed guidelines and case series to provide a practical diagnostic and management framework [2].\u003c/p\u003e"},{"header":"Case presentation","content":"\u003cp\u003ePatient information: Male neonate born at 35+6 weeks\u0026rsquo; gestation via cesarean section for maternal indications; birth weight 2320g (appropriate for gestational age). Apgar scores were 8 and 9 at 1 and 5 minutes, respectively. He was admitted to the NICU for prematurity-related respiratory monitoring. There was no consanguinity between parents.\u003c/p\u003e\n\n\u003cp\u003eTimeline and trigger: On postnatal day 28, nebulized salbutamol was given for mild wheezing and increased respiratory effort. Within approximately 5 minutes, the clinical status deteriorated rapidly.\u003c/p\u003e\n\n\u003cp\u003eClinical findings: Abrupt hyperthermia (39.5◦C), generalized muscle rigidity, tachycardia (\u0026gt;200/min), and rapidly progressive respiratory failure; the patient was intubated.\u003c/p\u003e\n\n\u003cp\u003eDiagnostic assessment (first hour):\u003c/p\u003e\n\n\n\u003cp\u003e\u0026bull; Capillary blood gas: pH 7.19, pCO2 65mmHg, HCO3 20.6mmol/L, BE \u0026minus;3.4.\u003c/p\u003e\n\n\u003cp\u003e\u0026bull; Biochemistry: K+ 7.7mmol/L, CK 1307U/L, AST 162U/L.\u003c/p\u003e\n\n\u003cp\u003e\u0026bull; Lactate: 4.9mmol/L.\u003c/p\u003e\n\n\u003cp\u003e\u0026bull; Infection markers: CRP negative (0.41mg/dL), no left shift on peripheral smear, and no growth in blood cultures.\u003c/p\u003e\n\n\n\u003cp\u003eWorking diagnosis: The constellation of unexplained hypercapnia with metabolic/respiratory acidosis, hyperkalemia, CK elevation, and rigidity in the absence of anesthetic exposure is most consistent with an MH/MH-like crisis. Rigidity may be subtle in neonates; therefore, unexplained hypercapnia with a rapid rise in CO2 should be emphasized as an early bedside clue (consistent with published case reports and guidelines).\u003c/p\u003e\n\n\u003cp\u003eMH Clinical Grading Scale: The raw score calculated using the Malignant Hyperthermia Clinical Grading Scale (MHAUS) was 56 (Table 1), corresponding to an \u0026ldquo;almost certain\u0026rdquo; likelihood of MH [10].\u003c/p\u003e\n\n\u003cp\u003eInitial approach: Airway and ventilation optimization, active cooling, correction of acido-sis/electrolyte abnormalities (especially hyperkalemia), and monitoring for rhabdomyolysis and renal injury [1, 2].\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAntipyretic\u0026nbsp;response:\u0026nbsp;There\u0026nbsp;was no response to standard-dose IV paracetamol or ibuprofen, with improvement only after dose escalation. Fever may be a late sign in MH, and antipyretic effectiveness in MH-related hyperthermia is uncertain; therefore, lack of response does not exclude MH [11].\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Specific therapy and diagnostic delay: Because non-anesthetic MH is rare in neonates and the misconception that \u0026ldquo;MH cannot occur without anesthesia,\u0026rdquo; there was an initial diagnostic delay. Dantrolene was available but was not administered early due to insuficient clinical suspicion. After approximately 36 hours of active cooling and supportive care, the fever was controlled, and the patient improved rapidly and was extubated.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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hyperthermia, generalized rigidity, severe hypercapnia, metabolic acidosis, hyperkalemia, and CK elevation without exposure to anesthetic triggers suggests an acute, dysregulated skeletal muscle hypermetabolic crisis. Although the CK rise was modest compared with some anesthetic-triggered MH cases, even limited CK increases may be clinically meaningful in neonates; the relatively modest elevation may reflect early intervention and differences in neonatal muscle mass. The stepwise decline in CK and rapid lactate normalization (Figure 1) support an acute, transient muscle hypermetabolic event. In adults with anesthetic-triggered MH, CK elevations used in the Clinical Grading Scale are typically \u0026gt;20,000 U/L, whereas neonatal CK values are physiologically higher and age-dependent in the first days of life with wide reference ranges (e.g., cord blood 70\u0026ndash;380 U/L; 5\u0026ndash;8 h 214\u0026ndash;1175 U/L; 24\u0026ndash;33 h 130\u0026ndash;1200 U/L; 72\u0026ndash;100 h 87\u0026ndash;725 U/L); this variability limits a single neonatal MH-specific CK threshold and supports cautious interpretation in newborns. [12\u0026ndash;14] The negative infection markers and abrupt clinical decompensation further strengthen the likelihood of a non-anesthetic/\u0026ldquo;awake\u0026rdquo; MH spectrum presentation. Because hyperthermia may be a late sign in MH, unexplained CO2\u0026nbsp;elevation\u0026nbsp;(ETCO2/pCO2)\u0026nbsp;together\u0026nbsp;with\u0026nbsp;acidosis\u0026nbsp;should\u0026nbsp;be\u0026nbsp;emphasized\u0026nbsp;as\u0026nbsp;an\u0026nbsp;early\u0026nbsp;diagnostic\u0026nbsp;clue.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Clinical Grading Scale in a non-anesthetic context. Although the MHAUS Clinical Grading Scale was developed for anesthetic-triggered MH, the high score in this case objectively supports a very high clinical probability in a non-anesthetic hypermetabolic presentation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePotential trigger and pathophysiologic rationale. Classic MH is triggered by volatile anesthetics and/or succinylcholine; however, \u0026ldquo;awake\u0026rdquo; episodes in MH-susceptible individuals have been reported under non-anesthetic conditions such as febrile illness, exertion/heat stress, and intense adrenergic stimulation [4, 7\u0026ndash;9]. In this context, the very close temporal relationship to neb-ulized salbutamol in our case warrants heightened clinical suspicion of an adrenergic contribution, while remaining non-causal: beta-agonists are not established MH triggers, but heightened sympathetic drive and increased metabolic demand can theoretically lower the crisis threshold in susceptible muscle, particularly when there is underlying RYR1-related susceptibility. This report does not claim causality; it emphasizes a temporally tight association within a compatible phenotype, framed by literature on non-anesthetic MH presentations and the overlap with exertional rhabdomyolysis/heat illness [7\u0026ndash;9].\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Critical red flags in the differential diagnosis. In neonates, sepsis/pneumonia, environmental hyperthermia, ventilatory malfunction, metabolic disorders, and neurologic causes are more common and should be systematically excluded first. Neuroleptic malignant syndrome is very unlikely in this age group and requires an appropriate drug exposure history. In this case, the combination of rapidly rising hypercapnia, hyperkalemia, CK/AST elevation, and rigidity markedly increases the likelihood of an MH/MH-like crisis. Persistently rising CO2 despite appropriate ventilator settings, together with hyperkalemia and CK elevation, is a practical red flag distinguishing MH from ventilatory problems.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Management lessons and system-level implications. Clinical stabilization occurred rapidly. Following active cooling, ventilatory optimization, and correction of metabolic derangements, the infant improved quickly and was extubated within 36 hours, supporting the interpretation of a transient hypermetabolic crisis rather than a progressive infectious or structural cause. Risk\u0026ndash; benefit assessment in a neonate. In preterm neonates, dantrolene carries practical and physiologic considerations (hemodynamic instability, respiratory weakness, and medication preparation delays in NICU workflows). In this case, supportive measures achieved rapid stabilization while diagnostic certainty was evolving. Retrospective high suspicion and dantrolene decision. With hindsight, the presentation met a high-probability MH phenotype and would ordinarily warrant early dantrolene. We did not administer it because of delayed suspicion and the rapid clinical response to supportive care, but we emphasize that this should not be generalized: unexplained acute hypercapnia\u0026ndash;acidosis\u0026ndash; hyperkalemia should still trigger an early recognition\u0026ndash;early dantrolene reflex, with prompt preparation and low threshold for administration when MH is suspected [1, 2].\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Next steps. After stabilization, family history review, counseling on potential triggers, and genetic evaluation (RYR1/CACNA1S) should be considered when feasible; in this case, genetic testing was offered but not feasible (logistical/financial constraints). Muscle biopsy (contracture testing) is not routinely performed in neonates and is rarely practical in the acute setting. Although genetic confirmation was not feasible, current consensus emphasizes that acute MH remains a clinical diagnosis and treatment must not be delayed pending confirmatory testing. Clear documentation of MH suspicion will also support safe anesthetic planning for future procedures.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eHypermetabolic crises compatible with malignant hyperthermia can occur in preterm neonates outside anesthetic settings. Unexplained hypercapnia with hyperthermia and metabolic instability should prompt early consideration of MH, even when no known triggering agents are present.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMH\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMalignant hyperthermia\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCK\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCreatine kinase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNICU\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNeonatal intensive care unit.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthics\u0026nbsp;approval\u0026nbsp;and\u0026nbsp;consent\u0026nbsp;to\u0026nbsp;participate\u003c/p\u003e\n\u003cp\u003eNot\u0026nbsp;applicable\u0026nbsp;for\u0026nbsp;a\u0026nbsp;single\u0026nbsp;case\u0026nbsp;report.\u003c/p\u003e\n\u003cp\u003eConsent\u0026nbsp;for\u0026nbsp;publication\u003c/p\u003e\n\u003cp\u003eWritten informed consent for publication was obtained from the parents.\u003c/p\u003e\n\u003cp\u003eAvailability\u0026nbsp;of\u0026nbsp;data\u0026nbsp;and\u0026nbsp;materials\u003c/p\u003e\n\u003cp\u003eNot\u0026nbsp;applicable.\u003c/p\u003e\n\u003cp\u003eCompeting interests\u003c/p\u003e\n\u003cp\u003eNone\u0026nbsp;declared.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eNo\u0026nbsp;specific\u0026nbsp;funding\u0026nbsp;received.\u003c/p\u003e\n\u003cp\u003eAuthors\u0026rsquo;\u0026nbsp;contributions\u003c/p\u003e\n\u003cp\u003eND\u0026nbsp;conceptualized\u0026nbsp;and\u0026nbsp;drafted\u0026nbsp;the\u0026nbsp;manuscript.\u0026nbsp;All\u0026nbsp;authors\u0026nbsp;revised\u0026nbsp;and\u0026nbsp;approved\u0026nbsp;the\u0026nbsp;final\u0026nbsp;version.\u003c/p\u003e\n\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eWe\u0026nbsp;thank\u0026nbsp;N\u0026uuml;pelda\u0026nbsp;Melis\u0026nbsp;Demir\u0026nbsp;(Biruni\u0026nbsp;University\u0026nbsp;Faculty\u0026nbsp;of\u0026nbsp;Medicine,\u0026nbsp;2nd-year\u0026nbsp;student,\u0026nbsp;Istanbul,\u0026nbsp;Turkey) for assistance.\u003c/p\u003e\n\u003cp\u003eReferences (PubMed-indexed; in-text cited)\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eRosenberg H, Pollock N, Schiemann A, Bulger T, Stowell K. Malignant hyperthermia: a review. Orphanet J Rare Dis. 2015;10:93.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGlahn K, Ellis FR, Halsall PJ, et al. Recognizing and managing a malignant hyperthermia crisis: guidelines from the European Malignant Hyperthermia Group. Br J Anaesth. 2010;105:417\u0026ndash;20.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLitman RS, Rosenberg H. Malignant hyperthermia: update on susceptibility testing. Anesthesi-ology. 2018;128(1):159\u0026ndash;67.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZvaritch E, et al. Fatal awake malignant hyperthermia episodes in a family with MH susceptibility. Can J Anaesth. 2019;66(5):540\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTsutsumi YM, et al. Malignant hyperthermia in a 16-day-old infant. J Anesth. 2021;35(2):311\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCummings T, Der T, Karsli C. Repeated nonanesthetic malignant hyperthermia reactions in a child. Paediatr Anaesth. 2016;26(12):1202\u0026ndash;3. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/pan.13006\u003c/span\u003e\u003cspan address=\"10.1111/pan.13006\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTobin JR, Jason DR, Challa VR, Nelson TE, Sambuughin N. Malignant hyperthermia and apparent heat stroke. JAMA. 2001;285(2):168\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1001/jama.285.2.168\u003c/span\u003e\u003cspan address=\"10.1001/jama.285.2.168\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCapacchione JF, Muldoon SM. Is there a link between malignant hyperthermia and exertional heat illness? Br J Sports Med. 2009;43(4):283\u0026ndash;4. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1136/bjsm.2008.053371\u003c/span\u003e\u003cspan address=\"10.1136/bjsm.2008.053371\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLavezzi WA, et al. Exercise-induced rhabdomyolysis and stress-induced malignant hyperthermia events, association with malignant hyperthermia susceptibility, and RYR1 gene sequence variations. ScientificWorldJournal. 2013;2013:930142. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1155/2013/930142\u003c/span\u003e\u003cspan address=\"10.1155/2013/930142\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLarach MG, Localio AR, Allen GC, et al. A clinical grading scale to predict malignant hyper-thermia susceptibility. Anesthesiology. 1994;80(4):771\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMalignant Hyperthermia Association of the United States (MHAUS). What evidence-based in-terventions are recommended to alleviate hyperthermia associated with malignant hyperthermia? MHAUS Recommendations. 2018. [Internet].\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRosenberg H, Sambuughin N, Riazi S. Malignant hyperthermia susceptibility (table: clinical grading scale laboratory findings). GeneReviews. Updated 2025. [Internet]. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ncbi.nlm.nih.gov/books/NBK1146/table/mhs.T.criteria_used_in_the_clinical_grad/\u003c/span\u003e\u003cspan address=\"https://www.ncbi.nlm.nih.gov/books/NBK1146/table/mhs.T.criteria_used_in_the_clinical_grad/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWalker V. Neonatal and paediatric biochemistry. In: Marks V, editor. Scientific Foundations of Biochemistry in Clinical Practice. 2nd ed. London: Butterworth-Heinemann; 1994. pp. 292\u0026ndash;315. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/B978-0-7506-0167-2.50022-4\u003c/span\u003e\u003cspan address=\"10.1016/B978-0-7506-0167-2.50022-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eClifford SM, Bunker AM, Jacobsen JR, Roberts WL. Age and gender specific pediatric reference intervals for aldolase, amylase, ceruloplasmin, creatine kinase, pancreatic amylase, prealbumin, and uric acid. Clin Chim Acta. 2011;412(9\u0026ndash;10):788\u0026ndash;790. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.cca.\u003c/span\u003e\u003cspan address=\"10.1016/j.cca.\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e2011.01.011. Note: Direct neonatal case reports linking salbutamol/beta-agonist\u0026ndash;triggered awake MH are limited/heterogeneous in PubMed; therefore, the additional references above were included to support the broader non-anesthetic/awake MH spectrum and stress/heat/exertion-related triggering (PubMed/PMC-indexed). 8.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eNote: Direct neonatal case reports linking \u0026ldquo;salbutamol/beta-agonist\u0026ndash;triggered awake MH\u0026rdquo; are limited/heterogeneous in PubMed; therefore, the additional references above were included to support the broader non-anesthetic/\u0026ldquo;awake\u0026rdquo; MH spectrum and stress/heat/exertion-related triggering (PubMed/PMC-indexed).\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-pediatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bped","sideBox":"Learn more about [BMC Pediatrics](http://bmcpediatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bped/default.aspx","title":"BMC Pediatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Malignant hyperthermia, neonate, hypercapnia, hypermetabolic crisis, RYR1, beta-adrenergic stimulation","lastPublishedDoi":"10.21203/rs.3.rs-8993479/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8993479/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBackground: Malignant hyperthermia (MH) is a life-threatening pharmacogenetic disorder of skeletal muscle calcium regulation, classically triggered by volatile anesthetics or succinylcholine. Increasing evidence suggests that MH susceptibility may manifest outside the operating room under specific physiological stress conditions.\u003c/p\u003e\n\u003cp\u003eCase presentation: We report a 35+6-week preterm neonate who developed an abrupt hyper-metabolic crisis characterized by hyperthermia, generalized muscle rigidity, severe hypercapnia, metabolic acidosis, hyperkalemia, and elevated creatine kinase levels temporally associated with nebulized beta-adrenergic stimulation, in the absence of known anesthetic triggers. Infectious, venti-latory, and environmental causes were systematically excluded. Serial laboratory analysis showed an initial lactate rise with rapid normalization and a progressive decline in creatine kinase levels. The Malignant Hyperthermia Clinical Grading Scale yielded a raw score of 56 (almost certain MH). The infant improved with supportive treatment without dantrolene and recovered fully.\u003c/p\u003e\n\u003cp\u003eConclusions: MH-compatible hypermetabolic crises can occur in preterm neonates outside anesthetic settings. Unexplained hypercapnia with hyperthermia and metabolic instability should prompt early consideration of MH in NICUs, even when no anesthetic triggers are present.\u003c/p\u003e","manuscriptTitle":"Awake malignant hyperthermia–spectrum presentation in a preterm neonate","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-18 08:56:32","doi":"10.21203/rs.3.rs-8993479/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"42775572315527857730371811751110454750","date":"2026-05-11T10:28:00+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-15T20:05:47+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-03-15T20:03:58+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-03-09T20:32:25+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-08T04:46:04+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Pediatrics","date":"2026-03-08T04:42:23+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-pediatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bped","sideBox":"Learn more about [BMC Pediatrics](http://bmcpediatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bped/default.aspx","title":"BMC Pediatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"1f344e18-d312-4ba6-97e2-0a0edddcccac","owner":[],"postedDate":"March 18th, 2026","published":true,"recentEditorialEvents":[{"type":"reviewerAgreed","content":"42775572315527857730371811751110454750","date":"2026-05-11T10:28:00+00:00","index":104,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-03-18T08:56:36+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-18 08:56:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8993479","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8993479","identity":"rs-8993479","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}