Martin Petzoldt

Dr. Martin Petzoldt

university medical center hamburg-eppendorf
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 November 2015 in Intensive Care Medicine
Verified
Journal Article
Closed access
PDF file
SHSebastian A. Haas
Sebastian A. Haas
TLTheresa Lange
Theresa Lange
BSBernd Saugel
Bernd Saugel
Martin PetzoldtMartin Petzoldt
Martin Petzoldt
VFValentin Fuhrmann
Valentin Fuhrmann
SKStefan Kluge
Stefan Kluge

1 April 2017 in Gastrointestinal Endoscopy
Verified
Journal Article
Closed access
YWYuki B. Werner
Yuki B. Werner
DRDaniel von Renteln
Daniel von Renteln
TNTania Noder
Tania Noder
GSGuido Schachschal
Guido Schachschal
UDUlrike W. Denzer
Ulrike W. Denzer
TRThomas Rösch
Thomas Rösch

24 May 2024 in Anaesthesia
Verified
Journal Article
Open access
VKVera Köhl
Vera Köhl
VWViktor Alexander Wünsch
Viktor Alexander Wünsch
MMMarie‐Claire Müller
Marie‐Claire Müller
PSPhillip B. Sasu
Phillip B. Sasu
TDThorsten Dohrmann
Thorsten Dohrmann
Martin PetzoldtMartin Petzoldt
Martin Petzoldt
Summary: Background: It is not certain whether the blade geometry of videolaryngoscopes, either a hyperangulated or Macintosh shape, affects glottic view, success rate and/or tracheal intubation time in patients with expected difficult airways. We hypothesised that using a hyperangulated videolaryngoscope blade would visualise a higher percentage of glottic opening compared with a Macintosh videolaryngoscope blade in patients with expected difficult airways. Methods: We conducted an open‐label, patient‐blinded, randomised controlled trial in adult patients scheduled to undergo elective ear, nose and throat or oral and maxillofacial surgery, who were anticipated to have a difficult airway. All airway operators were consultant anaesthetists. Patients were allocated randomly to tracheal intubation with either hyperangulated (C‐MAC D‐BLADE™) or Macintosh videolaryngoscope blades (C‐MAC™). The primary outcome was the percentage of glottic opening. First attempt success was designated a key secondary outcome. Results: We assessed 2540 adults scheduled for elective head and neck surgery for eligibility and included 182 patients with expected difficult airways undergoing orotracheal intubation. The percentage of glottic opening visualised, expressed as median (IQR [range]), was 89 (69–99 [0–100])% with hyperangulated videolaryngoscope blades and 54 (9–90 [0–100])% with Macintosh videolaryngoscope blades (p < 0.001). First‐line hyperangulated videolaryngoscopy failed in one patient and Macintosh videolaryngoscopy in 12 patients (13%, p = 0.002). First attempt success rate was 97% with hyperangulated videolaryngoscope blades and 67% with Macintosh videolaryngoscope blades (p < 0.001). Conclusions: Glottic view and first attempt success rate were superior with hyperangulated videolaryngoscope blades compared with Macintosh videolaryngoscope blades when used by experienced anaesthetists in patients with difficult airways.

25 August 2022 in Anaesthesia
Verified
Journal Article
Open access
EKE. K. Kohse
E. K. Kohse
HSH. K. Siebert
H. K. Siebert
PSP. B. Sasu
P. B. Sasu
KLK. Loock
K. Loock
TDT. Dohrmann
T. Dohrmann
Martin PetzoldtMartin Petzoldt
Martin Petzoldt
Summary: A model to classify the difficulty of videolaryngoscopic tracheal intubation has yet to be established. The videolaryngoscopic intubation and difficult airway classification (VIDIAC) study aimed to develop one based on variables associated with difficult videolaryngoscopic tracheal intubation. We studied 374 videolaryngoscopic tracheal intubations in 320 adults scheduled for ear, nose and throat or oral and maxillofacial surgery, for whom airway management was expected to be difficult. The primary outcome was whether an anaesthetist issued a ‘difficult airway alert’ after videolaryngoscopy. An alert was issued after 183 (49%) intubations. Random forest and lasso regression analysis selected six intubation‐related variables associated with issuing an alert: impaired epiglottic movement; increased lifting force; direct epiglottic lifting; vocal cords clearly visible; vocal cords not visible; and enlarged arytenoids. Internal validation was performed by a 10‐fold cross‐validation, repeated 20 times. The mean (SD or 95%CI) area under the receiver operating characteristic curve was 0.92 (0.05) for the cross validated coefficient model and 0.92 (0.89–0.95) for a simplified unitary score (VIDIAC score with component values of −1 or 1 only). The calibration belt for the coefficient model was consistent with observed alert probabilities, from 0% to 100%, while the unitary VIDIAC score overestimated probabilities < 20% and underestimated probabilities > 70%. Discrimination of the VIDIAC score for patients more or less likely to be issued an alert was better than discrimination by the Cormack–Lehane classification, with mean (95%CI) areas under the receiver operating characteristic curve of 0.92 (0.89–0.95) vs. 0.75 (0.70–0.80), respectively, p < 0.001. Our model and score can be used to calculate the probabilities of difficult airway alerts after videolaryngoscopy.

19 April 2023 in Anesthesia & Analgesia
Verified
Journal Article
Open access
ABAlexander Barclay-Steuart
Alexander Barclay-Steuart
HGHanna L. Großhennig
Hanna L. Großhennig
PSPhillip Sasu
Phillip Sasu
VWViktor A. Wünsch
Viktor A. Wünsch
RSRupert Stadlhofer
Rupert Stadlhofer
Martin PetzoldtMartin Petzoldt
Martin Petzoldt
BACKGROUND: Transnasal flexible videoendoscopy (TVE) of the larynx is a standard of care for the detection and staging of pharyngolaryngeal lesions in otorhinolaryngology. Patients frequently present with existing TVE examinations before anesthesia. Although these patients are considered high risk, the diagnostic value of TVE for airway risk stratification is currently unknown. How can captured images or videos be used for anesthesia planning, and which lesions are most concerning? This study aimed to develop and validate a multivariable risk prediction model for difficult airway management based on TVE findings and to determine whether the discrimination of the Mallampati score can be improved by adding this new TVE model. METHODS: This retrospective single-center development and validation study assessed 4021 patients who underwent 4524 otorhinolaryngologic surgeries at the University Medical Centre Hamburg-Eppendorf between January 1, 2011, and April 30, 2018, with electronically stored TVE videos and included 1099 patients who underwent 1231 surgeries. TVE videos and anesthesia charts were systematically reviewed in a blinded fashion. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used for variable selection, model development, and cross validation. RESULTS: The prevalence of difficult airway management was 24.7% (304/1231). Lesions at the vocal cords, epiglottis, or hypopharynx were not selected by the LASSO regression, while lesions at the vestibular folds (ß-coefficient 0.123), supraglottic region (ß-coefficient 0.161), arytenoids (ß-coefficient 0.063), and viewing restrictions on the rima glottidis that cover ≥50% of the glottis area (ß-coefficient 0.485) and pharyngeal secretion retention (ß-coefficient 0.372) were relevant risk factors for difficult airway management. The model was adjusted for sex, age, and body mass index. The area under the receiver operating characteristic curve (95% confidence interval) of the Mallampati score was 0.61 (0.57–0.65) and 0.74 (0.71–0.78) of the TVE model combined with Mallampati (P < .001). CONCLUSIONS: Stored images and videos from TVE examinations can be reused for the purpose of predicting risk associated with airway management. Vestibular fold, supraglottic, and arytenoid lesions are most concerning, especially if they are accompanied by secretion retention or restrict the glottic view. Our data indicate that the TVE model improves discrimination of the Mallampati score and might, therefore, be a useful addition to traditional bedside airway risk examinations.

4 January 2013 in Intensive Care Medicine
Verified
Journal Article
Closed access
PDF file
Martin PetzoldtMartin Petzoldt
Martin Petzoldt
CRCarsten Riedel
Carsten Riedel
JBJan Braeunig
Jan Braeunig
SHSebastian Haas
Sebastian Haas
MGMatthias S. Goepfert
Matthias S. Goepfert
DRDaniel A. Reuter
Daniel A. Reuter