Kontrol Edukasi Video Visual Smartphone Berbasis Selfcare terhadap Kecemasan dan Tekanan Darah Pasien Endoskopi dengan Pelayanan Anestesiologi

This study aims to analyze the effect of self-care-based smartphone visual video education on the anxiety level and blood pressure of endoscopic patients with anesthesiology services. This research method uses a quasy experiment (pre-post test with control group design). The results showed that there were differences between the treatment and control groups. There were significant differences in anxiety (p=0.000), systolic blood pressure (p=0.011), and diastolic blood pressure (p=0.042). In the intervention group, there was a significant effect of smartphone visual video education on anxiety (p=0.000), systolic blood pressure (0.042), and diastolic blood pressure (p=0.008). In conclusion, self-care-based smartphone graphic video education affects the anxiety and blood pressure of endoscopic patients with anesthesiology services. Keywords: Education, Endoscopy, Anxiety, Blood Pressure, Vide

A CASE REPORT: RESPIRATORY MANIFESTATIONS OF COVID-19 STARTING WITH A GASTROINTESTINAL COMPLAINT: A COINCIDENCE OR A CORRELATION?

COVI

The Correlation between leucocyte CD64, Immature Granulocyte and Presepsin with Procalcitonin in Bacterial Sepsis Patient

Background: Sepsis is a critical emergency that causes morbidity and mortality worldwide. The latest sepsis diagnosis is made by using quick Sepsis-Related Organ Failure Assessment (qSOFA). Cluster of Differentiation 64 (CD64) is a surface antigen leukocyte that is deregulated during infection and sepsis. The percentage of immature granulocyte (IG) could rise in patients with infection and sepsis, mainly in severe circumstances. Procalcitonin (PCT) is a calcitonin prohormone that increases in sepsis and is already known as a bacterial infection marker. Presepsin (CD14) is a glycoprotein that is known to increase in bacterial infection. This study aimed to determine the correlation of leucocyte CD64, IG, and presepsin with PCT in bacterial sepsis patients. Method: This cross-sectional study was performed from June to September 2018 at Dr. Soetomo General Academic Hospital. Twenty-five patients who met the qSOFA criteria with positive bacterial blood cultures were included. All samples underwent examinations of leucocyte CD64, IG, presepsin, and PCT. The correlation of leucocyte CD64, IG and presepsin with PCT was analyzed using Spearman correlation. Results: The samples comprised 17 males (68.0%) and 8 females (32.0%). The mean age was 51.24 ± 14.85 years. The mean ± SD of leucocyte CD64 was 6.95 ± 2.13%, the median (min-max) of IG, presepsin and PCT was 3.67 (0.33–17.33)%, 2,641(487-20,000) pg/mL and 5.96 (0.39–181.5) ng/mL respectively. There was no correlation between leucocyte CD64 with PCT (p = 0.281). There was a significant correlation between IG and presepsin with PCT (p < 0.0001). Conclusions: Presepsin and IG can be used as alternative bacterial sepsis markers that are supported by other examinations. leucocyte CD64 still needs to be studied further before it can be used as a bacterial sepsis marker

The Correlation Between Surfactant Protein-D (SP-D) Serum Level and Intubation Time on Covid-19 Patients in Indonesia

Abstract : COVID-19 patients with ARDS who are admitted to the ICU needed tracheal intubation and mechanical ventilation, where the tracheal intubation strategy as early as possible with the good protocol ventilation management produce favorable patient outcomes. In performing the intubation needed to consider the right time to produce optimum outcome. The increase of Surfactant Protein-D serum level is a specific indicator of lung injury with severe ARDS and the duration of intubation. From that, the aims of this study to determine the correlation between Surfactant Protein-D (SP-D) and intubation time on COVID-19 patients. This observational analytic research with retrospective cohort design is conducted during March-August period and has obtained the ethics certificate from the Ethical Committee of Dr. Soetomo Surabaya. The examination of Surfactant Protein-D level is conducted on patients who have met the inclusion and exclusion criteria and the intubation time is recorded. In this research obtained 28 patients, where 20 patients are male and 8 patients are female. The comorbid factor that most affect the patient’s condition is Diabetes Mellitus. The average of Surfactant Protein-D serum level is 42,15 ng/ml (SD ± 32,71 ng/ml). The statistics analysis results showed that there is no meaningful correlation between Surfactant Protein-D serum level and intubation time (p: 0,304). In addition, it is also found that the SP-D level results which has no meaningful difference in the group of patients who died and survived (p: 0,159). The examination of Surfactant Protein-D level did not show a meaningful correlation with intubation time on Covid-19 patients

Correlation of Surfactant Protein-D (SP-D) Serum Levels with ARDS Severity and Mortality in Covid-19 Patients in Indonesia

Abstract Objective. The purpose of this research was to investigate the correlation between serum levels of surfactant protein-D (SP-D) with acute respiratory distress syndrome (ARDS) severity and mortality in COVID-19. Materials and Method. This was a prospective cohort research study that included 76 patients in the period from July to October 2020. SP-D serum levels were taken upon admission to the hospital, the diagnosis of ARDS and its grade were confirmed according to the WHO criteria, and then patients were observed for 28-day mortality. Results. The mean SP-D serum levels from 76 patients were 39.33 ng/ml (SD±31.884 ng/ml). The statistical analysis showed that there was a significant correlation between SP-D serum levels and the severity of ARDS upon admission to the hospital (P=0.04, Spearman’s rank correlation coefficient (rs)=0.26), but the correlation between serum levels of SP-D and mortality was not statistically significant (P=0.89; rs=-0.016). Conclusion. SP-D serum levels had a significant but weak correlation with ARDS severity, but were not significant for mortality

Sensitivity and specificity comparison between Apfel, Koivuranta, and Sinclair score as PONV predictor in post general anesthesia patient

ABSTRACT Background: Post Operative Nausea Vomiting (PONV) are the two most common and unpleasant side effects after anesthesia and surgery. Without proper prophylactic administration, the PONV incidence is currently around 20% -30% in normal patients and 70% in high-risk patients (Butterworth et al., 2013). Recently, many PONV predictor scores have been used to determine the PONV severity and prophylactic administration. Objective: To compare the scores of Apfel, Koivuranta, and Sinclair as predictors of PONV in adult patients after general anesthesia at RSUD Dr. Soetomo. Methods: A cross-sectional study design conducted in 100 patients who underwent elective surgery under general anesthesia at RSUD Dr. Soetomo Surabaya. Patients who meet the criteria will be recorded in the clinical research form and being followed to evaluate the assessment using Apfel, Koivuranta, and Sinclair scores when the patient is in the recovery room and the ward. A diagnostic test is performed to assess the accuracy between these scores. Results: In this study, the prevalence of PONV after general anesthesia in elective surgery at GBPT RSUD Dr Soetomo Surabaya is 26%. The Apfel score obtained has a sensitivity value of 79.5%, a specificity of 45.9% with an AUC value of 0.701. The Koivuranta score has a sensitivity value of 96.2%, a specificity of 27% with an AUC value of 0.628. The Sinclair score has a sensitivity value of 73.1%, a specificity of 48.6% with an AUC value of 0.619. Conclusion: Apfel's score is more accurate PONV prediction score and has a simpler score determination variable

The Relationship Between Plasma Vitamin D and Severity of Critical Disease Patients Admitted to the Intensive Care Unit

Abstract Introduction: Vitamin D is a micro-nutrient component that deserves to be taken into consideration for its various functions. In addition, according to various sources, it is said that vitamin D also has a role in the progress of critical patient conditions. Vitamin D deficiency condition often occurs not only in general patients but also in critical patients. Vitamin D deficiency in critically ill patients can be caused by a number of co-morbidities, systemic inflammation and multiorgan failure. Aim and Objective: The purpose of this study was to determine the relationship between plasma levels of vitamin D and the severity of the disease in critically ill patients treated in the Intensive Care Unit. Materials and Methods: This research is an observational analytic research. This research was conducted in the Intensive Care Unit of Dr. Soetomo Hospital Surabaya. The sample in this study were 32 people according to the inclusion and exclusion criteria. Data will be analyzed descriptive analytically. Results and Conclusion: The result showed that patient profiles, such as: age, gender, comorbidity status, smoking history, sun exposure, milk consumption, supplement or multivitamin consumption, BMI, SOFA Score, and APACHE II have significant differences between mild, moderate, and optimal levels of vitamin D deficiency (p=0.001). We hypothesized that nutrition has an effect on plasma vitamin D levels, but this research did not show a significant relationship between fish consumption and plasma vitamin D levels. Fish consumption had no significant difference (p=0.371). There was a significant negative correlation between vitamin D and SOFA score (p30 minutes, consumed fish, did not consume milk, and consumed supplements or multivitamins. The most common vitamin D levels in critically ill patients admitted to the Intensive Care Unit were optimal. The severity of critical illness patients based on SOFA Score between 0-1 and ≥ 2 is relatively similar. While based on APACHE II the most are 0-4. There is a significant relationship between vitamin D levels and the severity of critical illness patients treated in the intensive care unit according to SOFA Score and APACHE II