A rare occurrence of pyloric stenosis in an infant with osteogenesis imperfecta: Anesthetic implications

Jagtap, Sheetal R; Bakhshi, Rochana G; Jain, Ankit

doi:10.4103/0970-9185.130064

Cited by 3 publications

(5 citation statements)

References 10 publications

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“…As a result of hypoalbuminemia, water from the blood moves into tissues, resulting in edema symptoms 39 . Edema is a major cause of pressure injuries as a result of the weakening of skin tissues that worsens with pressure or when the skin becomes ischemic or hypoxic, allowing the skin to damage easily 40 . Approximately 70% of ICU patients with hypoalbuminemia suffered pressure injuries 40,41 .…”

Section: Discussionmentioning

confidence: 99%

“…39 Edema is a major cause of pressure injuries as a result of the weakening of skin tissues that worsens with pressure or when the skin becomes ischemic or hypoxic, allowing the skin to damage easily. 40 Approximately 70% of ICU patients with hypoalbuminemia suffered pressure injuries. 40,41 PI prevention has long relied on repositioning and body activity.…”

Section: Discussionmentioning

confidence: 99%

“…40 Approximately 70% of ICU patients with hypoalbuminemia suffered pressure injuries. 40,41 PI prevention has long relied on repositioning and body activity. Laboratory studies have shown that the 90 lateral position decreases blood flow and transcutaneous oxygen tension close to anoxic (shallow oxygen levels) and increases interface pressure.…”

Section: Discussionmentioning

confidence: 99%

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Risk predictions of hospital‐acquired pressure injury in the intensive care unit based on a machine learning algorithm

Tehrany

Zabihi

Vajargah

et al. 2023

International Wound Journal

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Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains controversial in the medical world. Patients in intensive care units (ICUs) were frequently reported to suffer PIs, with a heavy burden on their life and expenditures. Machine learning (ML) is a Section of artificial intelligence (AI) that has emerged in nursing practice and is increasingly used for diagnosis, complications, prognosis, and recurrence prediction. This study aims to investigate hospital‐acquired PI (HAPI) risk predictions in ICU based on a ML algorithm by R programming language analysis. The former evidence was gathered through PRISMA guidelines. The logical analysis was applied via an R programming language. ML algorithms based on usage rate included logistic regression (LR), Random Forest (RF), Distributed tree (DT), Artificial neural networks (ANN), SVM (Support Vector Machine), Batch normalisation (BN), GB (Gradient Boosting), expectation–maximisation (EM), Adaptive Boosting (AdaBoost), and Extreme Gradient Boosting (XGBoost). Six cases were related to risk predictions of HAPI in the ICU based on an ML algorithm from seven obtained studies, and one study was associated with the Detection of PI risk. Also, the most estimated risksSerum Albumin, Lack of Activity, mechanical ventilation (MV), partial pressure of oxygen (PaO2), Surgery, Cardiovascular adequacy, ICU stay, Vasopressor, Consciousness, Skin integrity, Recovery Unit, insulin and oral antidiabetic (INS&OAD), Complete blood count (CBC), acute physiology and chronic health evaluation (APACHE) II score, Spontaneous bacterial peritonitis (SBP), Steroid, Demineralized Bone Matrix (DBM), Braden score, Faecal incontinence, Serum Creatinine (SCr) and age. In sum, HAPI prediction and PI risk detection are two significant areas for using ML in PI analysis. Also, the current data showed that the ML algorithm, including LR and RF, could be regarded as the practical platform for developing AI tools for diagnosing, prognosis, and treating PI in hospital units, especially ICU.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Risk predictions of hospital‐acquired pressure injury in the intensive care unit based on a machine learning algorithm

Tehrany

Zabihi

Vajargah

et al. 2023

International Wound Journal

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“…Le type 2 est la forme la plus grave et létale, elle survient pendant la période périnatale. Le type 3 est caractérisé par une défor-mation squelettique progressive, et le type 4 est caractérisé par une fragilité osseuse légère à modérée avec des degrés de déformations variables [6][7][8].…”

Section: Introductionunclassified

Ostéonécrose induite par les biphosphonates chez une patiente atteinte d’ostéogenèse imparfaite

Farouk

Haïtami

Yahya

2016

Med Buccale Chir Buccale

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“…Spinal anesthesia administration was decided upon because of the short duration of the operation, the probability of difficult intubation, and the risk of mandibular bone fracture associated with intubation. Given the risk of malignant hyperthermia in patients with OI ( 3 ) and the fact that succinylcholine can induce fasciculation, resulting in fractures and dislocation, 2.5 mg/kg of propofol was administered without sevoflurane induction, and mask ventilation was carried out. The patient was carefully positioned in the left lateral knee-chest position.…”

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confidence: 99%

Spinal Anesthesia in an Infant with Osteogenesis Imperfecta

et al. 2018

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Osteogenesis imperfecta (OI), which is a rare autosomal dominant disorder involving connective tissue, is manifested by skeletal fragility. In addition to its rarity, OI is associated with various risks, such as a difficult airway and malignant hyperthermia (1). Thus, it requires careful anesthesia management. We describe a case of OI in which surgical intervention was planned for a left inguinal hernia. The 2-month-old male patient weighed 3.2 kg on admission. In the operating room, the patient underwent a continuous electrocardiogram, pulse oximetry, noninvasive blood pressure, and temperature monitoring. Readings were recorded every 5 minutes. The patient's baseline heart rate (HR) was 135 beats/min -1 , his blood pressure (BP) was 110/62 mmHg, his SpO 2 was 98%, and his skin temperature was 33.2°C. Hydration was started with a mixed pediatric solution (Biofleks, Osel, Turkey), which was administered intravenously at a rate of 10 mL/kg/h. Due to the extreme fragility of the patient's bones, excessive neck extension may have led to a fracture, and overly vigorous laryngoscopy may have caused cervical teeth and mandibular injury (2). Spinal anesthesia administration was decided upon because of the short duration of the operation, the probability of difficult intubation, and the risk of mandibular bone fracture associated with intubation. Given the risk of malignant hyperthermia in patients with OI (3) and the fact that succinylcholine can induce fasciculation, resulting in fractures and dislocation, 2.5 mg/kg of propofol was administered without sevoflurane induction, and mask ventilation was carried out. The patient was carefully positioned in the left lateral knee-chest position. Then, 1 mg/kg of 0.5% bupivacaine (Marcaine, Eczacibasi, Turkey) was administered intrathecally using a 26 G Quincke (Atraucan, Braun, Germany) spinal needle at the level of L4 -L5 at a rate of 0.1 mL/sec. The needle was withdrawn after maintaining it in this position for 10 seconds (Figure 1). The surgery was initiated after it was confirmed by pinprick that the patient did not feel pain in the inguinal area. During the operation, spontaneous breathing was maintained with supplementary oxygen through a facemask. Paracetamol (Parol, Atabay, Turkey; 10 per 1 cc) 20 mg/kg was infused during the first 20 minutes of the surgery for postoperative analgesia. The surgery lasted for 45 minutes, and perioperative complications were not observed during the surgery. Postsurgery, the patient's intraoperative BP, HR, and SpO 2 values were as follows: 125 -140 beats.min -1 , 103/60 -108/65 mmHg, and 98% -99%, respectively. The patient was awakened by tactile stimulation and monitored in the recovery unit. He was transferred to the clinic after the motor block was discontinued.Patients with OI may have anatomical abnormalities and bleeding diathesis, giving rise to difficulties during the administration of regional anesthesia. Bleeding diathesis and hemorrhage may result from the poor support of blood vessels due to a lack of normal adult collagen,...

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A rare occurrence of pyloric stenosis in an infant with osteogenesis imperfecta: Anesthetic implications

Cited by 3 publications

References 10 publications

Risk predictions of hospital‐acquired pressure injury in the intensive care unit based on a machine learning algorithm

Risk predictions of hospital‐acquired pressure injury in the intensive care unit based on a machine learning algorithm

Ostéonécrose induite par les biphosphonates chez une patiente atteinte d’ostéogenèse imparfaite

Spinal Anesthesia in an Infant with Osteogenesis Imperfecta

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