Circulatory shock is a common condition that carries high morbidity and mortality. This review aims to update the critical steps in managing common types of shock in adult patients admitted to medical emergency and intensive care units. A literature review was performed by searching PubMed, EMBASE Ovid, and Cochrane Library, using the following search items: ("shock" OR "circulatory shock" OR "septic shock" OR "cardiogenic shock") AND ("management" OR "treatment" OR "resuscitation"). The review emphasizes prompt shock identification with tissue hypoperfusion, knowledge of the underlying pathophysiological mechanism, initial fluid resuscitation with balanced crystalloids, norepinephrine as the preferred vasopressor in septic and profound cardiogenic shock, and tailored intervention addressing specific etiologies. Point-of-care ultrasound may help evaluate an undifferentiated shock and determine fluid responsiveness. The approach to septic shock is improving; however, confirmatory studies are required for many existing (e.g., amount of initial fluids and steroids) and emerging (e.g., angiotensin II) therapies. Knowledge gaps and wide variations persist in managing cardiogenic shock that needs urgent addressing to improve outcomes.

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Abdominal pain is a usual presentation in dengue virus infection. The commonly reported causes of abdominal pain in dengue fever are pancreatitis, peptic ulcer disease, hepatitis, and acalculous cholecystitis. Spontaneous bacterial peritonitis (SBP) is a very unusual and rarely reported cause. The etiology of the acute abdomen along with nonresolving fever in dengue infection should be carefully diagnosed and managed accordingly. We report the case of a young female with no previous comorbidities who presented with complaints of fever and abdominal pain. On detailed investigations, she was diagnosed suffering from SBP, a rare type of expanded dengue syndrome.

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Respiratory myoclonus, also known as belly dancer's dyskinesia (BDD), is a rare manifestation of movement disorder characterized by repetitive choreiform involuntary movements involving the anterior abdominal muscles, the diaphragm, and other respiratory muscles. Currently, there is no definite pathophysiology that clearly explains this condition. A 25-year-old male with a known case of BDD presented with an exacerbation of involuntary and continuous writhing movements of the abdominal wall muscles associated with abdominal pain and shortness of breath over the past 2 days. Subsequently, he was intubated due to worsening respiratory distress a few days after his admission. He was then put on ultrasound-guided botulinum toxin A injections of 25 units over the left hemidiaphragm regularly. His symptoms markedly improved since then as the attacks had reduced to 5–6 monthly intervals. Administration of ultrasound-guided botulinum toxin A injections may help to control the exacerbation of BDD and might be an option for cases refractory to medical treatment and phrenic nerve ablation.

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OBJECTIVES: Artificial intelligence companies have been increasing their initiatives recently to improve the results of chatbots, which are software programs that can converse with a human in natural language. The role of chatbots in health care is deemed worthy of research. OpenAI's ChatGPT is a supervised and empowered machine learning-based chatbot. The aim of this study was to determine the performance of ChatGPT in emergency medicine (EM) triage prediction. METHODS: This was a preliminary, cross-sectional study conducted with case scenarios generated by the researchers based on the emergency severity index (ESI) handbook v4 cases. Two independent EM specialists who were experts in the ESI triage scale determined the triage categories for each case. A third independent EM specialist was consulted as arbiter, if necessary. Consensus results for each case scenario were assumed as the reference triage category. Subsequently, each case scenario was queried with ChatGPT and the answer was recorded as the index triage category. Inconsistent classifications between the ChatGPT and reference category were defined as over-triage (false positive) or under-triage (false negative). RESULTS: Fifty case scenarios were assessed in the study. Reliability analysis showed a fair agreement between EM specialists and ChatGPT (Cohen's Kappa: 0.341). Eleven cases (22%) were over triaged and 9 (18%) cases were under triaged by ChatGPT. In 9 cases (18%), ChatGPT reported two consecutive triage categories, one of which matched the expert consensus. It had an overall sensitivity of 57.1% (95% confidence interval [CI]: 34–78.2), specificity of 34.5% (95% CI: 17.9–54.3), positive predictive value (PPV) of 38.7% (95% CI: 21.8–57.8), negative predictive value (NPV) of 52.6 (95% CI: 28.9–75.6), and an F1 score of 0.461. In high acuity cases (ESI-1 and ESI-2), ChatGPT showed a sensitivity of 76.2% (95% CI: 52.8–91.8), specificity of 93.1% (95% CI: 77.2–99.2), PPV of 88.9% (95% CI: 65.3–98.6), NPV of 84.4 (95% CI: 67.2–94.7), and an F1 score of 0.821. The receiver operating characteristic curve showed an area under the curve of 0.846 (95% CI: 0.724–0.969, P < 0.001) for high acuity cases. CONCLUSION: The performance of ChatGPT was best when predicting high acuity cases (ESI-1 and ESI-2). It may be useful when determining the cases requiring critical care. When trained with more medical knowledge, ChatGPT may be more accurate for other triage category predictions.

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The first-line treatment of diabetes ketoacidosis (DKA) involves fluid resuscitation with normal saline infusion to correct hypovolemia. Hyperchloremic metabolic acidosis from aggressive normal saline administration was associated with worse clinical outcomes in managing DKA. Other choices for normal saline include balanced electrolyte solutions (BESs). This study aimed to compare the clinical effects between BESs and normal saline in managing DKA. This study was a systematic review of probing articles published from inception to October 2021 in Cochrane Central Register of Controlled Trials, Medical Literature Analysis and Retrieval System Online, Google Scholar, and Scopus. Eight randomized controlled trials with a total of 595 individuals were included. The data were analyzed at 95% confidence level using random-effects models. For the primary outcomes, there was no difference in the duration of DKA resolution. (Mean difference [MD] −4.73, 95% confidence interval [CI] −2.72–4.92; I² = 92%; P = 0.180). However, there was a significantly lower postresuscitation chloride concentration in the BES (MD 2.96 95% CI − 4.86 to − 1.06; I² = 59%; P = 0.002). For the secondary outcomes, there was a significant reduction in duration for normalization of bicarbonate in the BES group (MD 3.11 95% CI − 3.98-2.23; I² = 5%; P = 0.0004). There were no significant differences between groups in duration for recovery of pH, intensive unit admission, and adverse events (mortality and acute renal failure). Resuscitation with BES was associated with decreased chloride and increased bicarbonate values in DKA patients. It suggests that BES prevents DKA patients from hyperchloremic metabolic acidosis.

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OBJECTIVE: The aim was to determine the effects of digital game play on children's pain, fear, and anxiety levels during suturing. METHODS: Data were obtained from 84 children between the ages of 8 and 17 years at the pediatric emergency department between January 16 and March 19, 2020, using the Socio-Demographic and Clinical Characteristics Form, the Wong–Baker Faces Pain Rating Scale (WBFPS), the Visual Analogue Scale (VAS), the Fear of Medical Procedures Scale (FMPS), and the State-Trait Anxiety Inventory for Children (STAI-CH). A four-block randomization system was used. The study group (n = 42) played digital games during the suturing procedure, unlike the control group (n = 42). Ethical permissions were obtained from the ethical committee, hospital, and families. RESULTS: Before the suturing procedure, there was no statistically significant difference between the groups' mean scores. The intervention group was found to have statistically significantly lower WBFPS and VAS pain scores than the control group during the suturing procedure, and after the procedure, statistically significantly lower WBFPS, VAS, FMPS, and STAI-CH mean scores than the control group. CONCLUSIONS: The digital game-playing approach applied before and during the suture procedure was found to be effective in reducing children's pain, fear, and anxiety levels.

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Staphylococcus schleiferi bacteremia is an underappreciated cause of septic shock in the critical care department. Although nominally a coagulase variable Staphylococcus and associated with otitis externa infections in canine species, it has been associated with the metastatic infection including osteomyelitis, endocarditis, nephritis, and meningitis in humans. This report records a possible zoonotic case of S. schleiferi subspecies coagulans bacteremia following canine otitis externa associated with septic shock and endovascular infection precipitating intensive care admission for vasopressor support in an immunocompetent male.

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OBJECTIVES: Ongoing symptomatic coronavirus disease 2019 (OSC) is defined as persistent symptoms beyond 4 weeks of acute illness. OSC leads to prolonged hospitalization and oxygen dependence. We aimed to find the outcome of Janus kinase inhibitors (JAKi) as a steroid-sparing agent to treat OSC. METHODS: In this single-center case-controlled study comparing JAKi and corticosteroids in OSC cases, data of 41 cases out of 86 were included – 21 in the JAKi group and 20 in the corticosteroid group from 4 weeks of acute illness to the next 4 weeks. Clinical parameters and inflammatory markers were recorded. The primary outcome was to compare the proportion of patients who were able to maintain oxygen saturation ≥95% with any oxygen supplementation in the two groups. RESULTS: The baseline clinical and demographic characteristics were similar in the two groups. The age was 53.65 ± 9.8 years and 51.48 ± 14.0 years in the corticosteroid group and JAKi group, respectively. At the baseline, 85% of patients in the corticosteroid group and 85.8% in the JAKi group were on oxygen support. The most common symptom in both groups was breathlessness followed by cough. Twenty percent of patients in the JAKi group received baricitinib and the remaining were given tofacitinib. At the time of follow-up, the majority of cases had a significant reduction in C-reactive protein (CRP) and D-dimer; however, the change in CRP and D-dimer was similar in both groups. The number of patients off oxygen support at 4 weeks was higher in the JAKi group (85% in the corticosteroid group vs. 95.2% in the JAKi group, P = 0.269), and the median time to liberation from oxygen support was significantly lower in JAKi group (19 days in corticosteroid group vs. 9 days in JAKi group, P < 0.001). The frequency of any adverse event was also higher in the corticosteroid group (70% vs. 23.8%, P = 0.003). CONCLUSION: JAKi can be used as immunomodulatory drugs in hypoxic OSC cases having evidence of ongoing inflammation.

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OBJECTIVES: The cornerstone of management of acidosis in a patient with diabetic ketoacidosis (DKA) has traditionally been carried out by blood gas analysis, which is expensive and associated with significant risk. It is against this background that the correlation between end-tidal carbon dioxide (EtCO₂), blood pH, and EtCO₂ bicarbonate levels was analyzed. The predictive value of EtCO₂ was also analyzed in the diagnosis of DKA. Finally, we aimed to determine the value of EtCO₂ as a screening test for the exclusion of DKA. MATERIALS AND METHODS: This was a prospective cohort study carried out in the emergency department of a tertiary care teaching hospital from September 2020 to September 2021. Patients with suspected DKA underwent simultaneous blood gas collection and EtCO₂ analysis. RESULTS: A total of 123 patients with blood sugar levels >250 mg/dl and moderate-to-large (≥2+) urine ketones were studied. A cut-off value of EtCO₂ ≤24 was determined to rule in DKA with a sensitivity of 93.02% and specificity of 91.9%. EtCO₂ >26 could effectively rule out the diagnosis of DKA with sensitivity of 98.8% and specificity of 75.7%. A significant linear correlation between pH and EtCO₂ (P < 0.0001, r = 0.82) and HCO3 and EtCO₂ (r = 0.896, P < 0.0001) was found. CONCLUSIONS: EtCO₂ values ≤24 can accurately identify patients with DKA in the presence of elevated blood sugar and urinary ketones and must be considered a valuable addition to the diagnostic criteria. EtCO₂ values >26 can be an effective triaging tool for ruling our DKA. A significant linear correlation between pH and EtCO₂ and pH and HCO3 was observed. EtCO₂ can be considered a surrogate marker for the degree of response to the treatment in DKA.

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OBJECTIVES: Hemorrhagic transformation (HT) is significantly related to poor neurological outcomes and mortality. Although variables and models that predict HT have been reported in the literature, the need for a model with high diagnostic performance continues. We aimed to propose a model that can accurately predict symptomatic HT within 7 days of acute ischemic stroke (AIS). METHODS: Patients with AIS admitted to the emergency department of a tertiary training and research hospital between November 07, 2021, and August 26, 2022, were included in this single-center retrospective study. For the model, binary logistics with the forced-entry method was used and the model was validated with 3-fold cross-validation. After the final model was created, the optimal cutoff point was determined with Youden's index. Another cut-off point was determined at which the sensitivity was the highest. RESULTS: The mean age of the 423 patients included in the study was 70 (60–81) and 53.7% (n = 227) of the patients were male. Symptomatic HT was present in 31 (7.3%) patients. Mechanical thrombectomy, atrial fibrillation, and diabetes mellitus were the independent predictors (P < 0.001, P = 0.003, P = 0.006, respectively). The mean area under the curve of the receiver operating characteristics of the model was 0.916 (95% confidence interval [CI] = 0.876–0.957). The sensitivity for the optimal cut-off point was 90.3% (95% CI = 74.3%–97.9%) and specificity was 80.6% (95% CI = 76.4%–84.4%). For the second cutoff point where the sensitivity was 100%, the specificity was 60.5% (95% CI = 55.4%–65.3%). CONCLUSION: The diagnostic performance of our model was satisfactory and it seems to be promising for symptomatic HT. External validation studies are required to implement our results into clinical use.

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