Characteristics of Emergency Visits Among Lung Cancer Patients in Comprehensive Cancer Center and Impact of Palliative Referral.

INTRODUCTION: During the treatment course, cancer patients are prone to develop acute symptoms that are either treatment-related or cancer-related. Emergency services are available during the whole day to manage the acute problems of patients with chronic diseases, including cancer patients. Previous studies have shown that palliative care (PC) provided at the beginning of stage IV lung cancer diagnosis helped to reduce emergency visits and increase survival rates. METHOD: A retrospective study was conducted on lung cancer patients with confirmed histopathology of non-small cell cancer and small cell lung cancer who visited the emergency department (ED) from 2019 to 2021. The demographic data, disease-related-data causes of ED visits (including disposition), number of emergency visits, and palliative referral and impact on the outcome and frequency of emergency visits were reviewed. RESULTS: Of a total number of 107 patients, the majority were male (68%), the median age was 64 years old, and almost half of them were smokers (51%). More than 90% of the patients were diagnosed with non-small cell lung cancer (NSCLC), more than 90% with stage IV, and a minority underwent surgery and radiation therapy. The total number of ED visits amounted to 256, and 70% of the reasons for ED visits were respiratory problems (36.57%), pain (19.4%), and gastrointestinal (GI) causes (19%), respectively. PC referral was performed only for 36% of the participants, but it had no impact on the frequency of ED visits (p-value > 0.05). Besides, the frequency of ED visits had no impact on the outcome (p-value > 0.05), whereas PC had an impact on the live status (p-value < 0.05). CONCLUSION: Our study had similar findings to another study regarding the most common reason for ED visits among lung cancer patients. Improving PC engagement for patient care would render those reasons preventable and affordable. The palliative referral improved survival among our participants but had no impact on the frequency of emergency visits, which may be due to the small number of patients and the different populations included in our research. A national study should be conducted to obtain a larger sample and to determine the impact of PC on ED visits.

Factors associated with recovery delay in a sample of patients diagnosed by MERS-CoV rRT-PCR: A Saudi Arabian multicenter retrospective study.

BACKGROUND: Research evidence exists that poor prognosis is common in Middle East respiratory syndrome coronavirus (MERS-CoV) patients. OBJECTIVES: This study estimates recovery delay intervals and identifies associated factors in a sample of Saudi Arabian patients admitted for suspected MERS-CoV and diagnosed by rRT-PCR assay. METHODS: A multicenter retrospective study was conducted on 829 patients admitted between September 2012 and June 2016 and diagnosed by rRT-PCR procedures to have MERS-CoV and non-MERS-CoV infection in which 396 achieved recovery. Detailed medical charts were reviewed for each patient who achieved recovery. Time intervals in days were calculated from presentation to the initial rRT-PCR diagnosis (diagnosis delay) and from the initial rRT-PCR diagnosis to recovery (recovery delay). RESULTS: The median recovery delay in our sample was 5 days. According to the multivariate negative binomial model, elderly (age ≥ 65), MERS-CoV infection, ICU admission, and abnormal radiology findings were associated with longer recovery delay (adjusted relative risk (aRR): 1.741, 2.138, 2.048, and 1.473, respectively). Camel contact and the presence of respiratory symptoms at presentation were associated with a shorter recovery delay (expedited recovery) (aRR: 0.267 and 0.537, respectively). Diagnosis delay is a positive predictor for recovery delay (r = .421; P = .001). CONCLUSIONS: The study evidence supports that longer recovery delay was seen in patients of older age, MERS-CoV infection, ICU admission, and abnormal radiology findings. Shorter recovery delay was found in patients who had camel contact and respiratory symptoms at presentation. These findings may help us understand clinical decision making on directing hospital resources toward prompt screening, monitoring, and implementing clinical recovery and treatment strategies.

Development of a risk-prediction model for Middle East respiratory syndrome coronavirus infection in dialysis patients.

Introduction The Middle East respiratory syndrome coronavirus (MERS-CoV) infection can cause transmission clusters and high mortality in hemodialysis facilities. We attempted to develop a risk-prediction model to assess the early risk of MERS-CoV infection in dialysis patients. Methods This two-center retrospective cohort study included 104 dialysis patients who were suspected of MERS-CoV infection and diagnosed with rRT-PCR between September 2012 and June 2016 at King Fahd General Hospital in Jeddah and King Abdulaziz Medical City in Riyadh. We retrieved data on demographic, clinical, and radiological findings, and laboratory indices of each patient. Findings A risk-prediction model to assess early risk for MERS-CoV in dialysis patients has been developed. Independent predictors of MERS-CoV infection were identified, including chest pain (OR = 24.194; P = 0.011), leukopenia (OR = 6.080; P = 0.049), and elevated aspartate aminotransferase (AST) (OR = 11.179; P = 0.013). The adequacy of this prediction model was good (P = 0.728), with a high predictive utility (area under curve [AUC] = 76.99%; 95% CI: 67.05% to 86.38%). The prediction of the model had optimism-corrected bootstrap resampling AUC of 71.79%. The Youden index yielded a value of 0.439 or greater as the best cut-off for high risk of MERS infection. Discussion This risk-prediction model in dialysis patients appears to depend markedly on chest pain, leukopenia, and elevated AST. The model accurately predicts the high risk of MERS-CoV infection in dialysis patients. This could be clinically useful in applying timely intervention and control measures to prevent clusters of infections in dialysis facilities or other health care settings. The predictive utility of the model warrants further validation in external samples and prospective studies.

Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.

BACKGROUND: The rapid and accurate identification of individuals who are at high risk of Middle East respiratory syndrome coronavirus (MERS-CoV) infection remains a major challenge for the medical and scientific communities. The aim of this study was to develop and validate a risk prediction model for the screening of suspected cases of MERS-CoV infection in patients who have developed pneumonia. METHODS: A two-center, retrospective case-control study was performed. A total of 360 patients with confirmed pneumonia who were evaluated for MERS-CoV infection by real-time reverse transcription polymerase chain reaction (rRT-PCR) between September 1, 2012 and June 1, 2016 at King Abdulaziz Medical City in Riyadh and King Fahad General Hospital in Jeddah, were included. According to the rRT-PCR results, 135 patients were positive for MERS-CoV and 225 were negative. Demographic characteristics, clinical presentations, and radiological and laboratory findings were collected for each subject. RESULTS: A risk prediction model to identify pneumonia patients at increased risk of MERS-CoV was developed. The model included male sex, contact with a sick patient or camel, diabetes, severe illness, low white blood cell (WBC) count, low alanine aminotransferase (ALT), and high aspartate aminotransferase (AST). The model performed well in predicting MERS-CoV infection (area under the receiver operating characteristics curves (AUC) 0.8162), on internal validation (AUC 0.8037), and on a goodness-of-fit test (p=0.592). The risk prediction model, which produced an optimal probability cut-off of 0.33, had a sensitivity of 0.716 and specificity of 0.783. CONCLUSIONS: This study provides a simple, practical, and valid algorithm to identify pneumonia patients at increased risk of MERS-CoV infection. This risk prediction model could be useful for the early identification of patients at the highest risk of MERS-CoV infection. Further validation of the prediction model on a large prospective cohort of representative patients with pneumonia is necessary.

Pediatric burns in Western Saudi Arabia.

OBJECTIVE: To conduct a cross-sectional analysis of the demographical, etiological, clinical pattern, and the outcome of pediatric burn injuries. METHODS: A cross-sectional study of 459 pediatric burn patients admitted to Al-Noor Specialist Hospital in Makkah, Saudi Arabia from January 2008 to December 2010 were evaluated using a structured questionnaire. RESULTS: The mean age was 5.97, and the male to female ratio was 1.5:1. The most common cause was scalding (81.7%). Approximately 92.8% of patients had burn injuries involving 25% of the total body surface area, or less. The mean hospital stay was 9.51 days. Approximately 92% of patients were treated conservatively. CONCLUSION: Toddlers are at high risk of having scald burns. We also noted the number of admissions is increasing every year. Therefore, an effective scientific based prevention program is required.