scholarly journals Sidroma neuroleptik maligna patofisiologi, diagnosis, dan terapi

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Mieke A. H. N. Kembuan

Abstract: Neuroleptic malignant syndrome (NMS) is an uncommon, neurological emergency, with a high mortality rate. This syndrome is related with neuroleptic drug consumption. It is potential to bring about fatal complication with physical findings such as fever, movement disorder, rigidity, altered mental status, and autonomic dysfunction. A retrospective study in India showed an incidence rate of 0.14%, while in United States it reached 0.2-1.9%. NMS is related to the disturbance of dopamine receptor due to unknown mechanism. Most people with NMS died from heart, lung, or kidney complications. Early diagnosis, halting the usage of offending drugs, best supportive medical treatment, and specific pharmacotherapy for 14-21 days can give a good clinical outcomeKeywords: NMS, neuroleptic drugsAbstrak: Sindroma neuroleptik maligna (SNM) jarang terjadi namun merupakan suatu kegawatdaruratan neurologi yang berpotensi mengancam nyawa. Sindroma ini berkaitan dengan penggunaan obat-obatan neuroleptik. SNM berpotensi menyebabkan komplikasi fatal yang diakibatkan oleh penggunaan obat-obat antipsikotik dengan gejala klinis berupa demam, gangguan gerak, rigiditas, perubahan kesadaran, dan disfungsi otonom. Suatu penelitian retrospektif di India menunjukkan angka insidens SNM 0,14%, sedangkan di Amerika Serikat angka insidens tersebut mencapai 0,2-1,9%. Patofisiologi sindroma ini berhubungan dengan jalur reseptor dopamin di otak dengan mekanisme yang belum jelas. Morbiditas dan mortalitas pada SNM sering merupakan akibat sekunder dari komplikasi jantung, paru-paru, dan ginjal. Keberhasilan tatalaksana SNM dapat dicapai melalui diagnosis dini yang tepat, penghentian obat-obat neuroleptik, perawatan medis suportif, dan farmakoterapi spesifik selama 14 sampai dengan 21 hari diikuti dengan perbaikan klinis.Kata kunci: SNM, obat-obat neuroleptik

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Edward Hamaty ◽  
Saif Faiek ◽  
Minesh Nandi ◽  
David Stidd ◽  
Manish Trivedi ◽  
...  

Background. Naegleria Fowleri is a single-cell, thermophilic amphizoid amoeba, and a rare known causative agent for primary amoebic meningoencephalitis with >97% mortality rate. The amoeba resides in freshwater lakes and ponds but can also survive in inadequately chlorinated pools and recreational waters. The mode of infection includes activities such as diving or jumping into freshwater or submerging the head under the water. Although most commonly seen in the southern United States, it is essential to keep this clinical suspicion in mind regardless of geography, as presenting symptoms can be very similar to classic bacterial meningitis. Case Summary. We report the first-ever case in the state of New Jersey of a 29-year-old male presented after a visit to a recreational water park in Texas five days before his presentation with altered mental status. In ICU, his ICP remained refractory to multiple therapies, including antibiotics and antivirals, external ventriculostomy drain, hypertonic saline, pentobarbital-induced coma, and bilateral hemicraniectomies. The CSF analysis revealed trophozoites indicating a protozoan infection, which we diagnosed in the neurocritical unit, and the patient was then immediately started with treatment that included amphotericin B, rifampin, azithromycin, and fluconazole. This suspicion was promptly confirmed by the Center for Disease Control (CDC). Unfortunately, despite all the aggressive intervention by the multidisciplinary team, the patient did not survive. Conclusion. As per the CDC, only four people out of 143 known infected individuals in the United States from 1962 to 2017 have survived. Symptoms start with a median of 5 days after exposure to contaminated water. Given the rarity of this case and its very high mortality rate, it is crucial to diagnose primary amoebic meningoencephalitis accurately as its presentation can mimic bacterial meningitis. It is vital to obtain a careful and thorough history, as it can aid in prompt diagnosis and treatment.


2017 ◽  
Vol 1 (2) ◽  
pp. 01-02
Author(s):  
Grey Calculus

Intracerebral hemorrhage, or ICH, is a devastating disease. The overall incidence of spontaneous ICH worldwide is 24.6 per 100,000 person-years with approximately 40,000 to 67,000 cases per year in the United States. The 30-day mortality rate ranges from 35% to 52% with only 20% of survivors expected to have full functional recovery at 6 months. Approximately half of this mortality occurs within the first 24 hours, highlighting the critical importance of early and effective treatment in the Emergency Department.


2020 ◽  
Author(s):  
BHAVIN VASAVADA ◽  
Hardik Patel

UNSTRUCTURED All the gastrointestinal surgeries performed between April 2016 to march 2019 in our institution have been analysed for morbidity and mortality after ERAS protocols and data was collected prospectively. We performed 245 gastrointestinal and hepato-biliary surgeries between April 2016 to march 2019. Mean age of patients was 50.96 years. 135 were open surgeries and 110 were laparoscopic surgeries. Mean ASA score was 2.40, mean operative time was 111 minutes, mean CDC grade of surgery was 2.56. 40 were emergency surgeries and 205 were elective surgeries. Overall 90 days mortality rate was 8.5% and over all morbidity rate was around 9.79% . On univariate analysis morbidity was associated significantly with higher CDC grade of surgeries, higher ASA grade, more operative time, more blood products use, more hospitalstay, open surgeries,HPB surgeries and luminal surgeries(non hpb gastrointestinal surgeries) were associated with higher 90 days morbidity. On multivariate analysis no factors independently predicted morbidity. On univariate analysis 90 days mortality was predicted by grade of surgeries, higher ASA grade, more operative time, more blood products use, open surgeries and emergency surgeries. However on multivariate analysis only more blood products used was independently associated with mortality There is no difference between 90 day mortality and moribidity rates between open and laparoscopic surgeries.


2021 ◽  
Vol 9-10 (219-220) ◽  
pp. 11-16
Author(s):  
Yerkezhan Zhadykova ◽  
◽  
Sauirbay Sakhanov ◽  
Dulat Turebayev ◽  
Dariyana Kulmirzayeva ◽  
...  

About 3.15 million new cases of colorectal cancer (CRC) are predicted and it is expected that about 1.62 million human will die from this pathology, according to the forecasts of the International Agency for Research on Cancer in 2040. To this aim, an analysis studying studying the indicators of the oncological service for CRC also makes it possible to evaluate the ongoing anti-cancer measures in East Kazakhstan region. Aim. Evaluate some indicators of the oncological service at CRC in East Kazakhstan region in 2009 to 2018. Materials and methods. The research material was data from the Ministry of Health of the Republic of Kazakhstan – annual form No. 7 and 35 regarding CRC (ICD 10 – C18-21) for 2009-2018 in East Kazakhstan region – incidence, mortality, early diagnosis, neglect, morphological verification. A retrospective study using descriptive and analytical methods of biomedical statistics was used as the main method. Results and discussion. For 2009-2018, 3,661 new cases of CRC were registered in East Kazakhstan region for the first time. The incidence of CRC was 25.30/0000 and in dynamics tended to increase from 21.90/0000 (2009) to 25.70/0000 in 2018, the difference was statistically significant (t=1.99 and p=0.047). The mortality rate from CRC tended to decrease from 15.50/0000 to 14.70/0000 (p=0.591), and the average annual mortality rate from CRC was 15.60/0000. The indicators of early diagnosis (the proportion of patients with stage I-II) improved from 58.8% (2009) to 62.3% in 2018, and, accordingly, the indicators of the proportion of neglected patients significantly decreased with stage III (from 25.5% to 20.8%), while with stage IV (from 15.7% to 16.9%) there is a slight increase. The indicators of morphological verification in CRC improved from 90.5% to 98.6% during the studied years. Conclusion. An improvement in the indicators of morphological verification and early diagnosis of CRC was found. The obtained results are recommended to be used for monitoring anti-cancer measures in the region. Keywords: colorectal cancer, incidence, mortality, early diagnosis, neglect, morphological verification.


1966 ◽  
Vol 4 (4) ◽  
pp. 13-13

Last month the US Food and Drug Administration required American manufacturers of long-acting sulphonamides (sulphamethoxypyridazine, Lederkyn - Lederle and Midicel - PD; sulphadimethoxine - Madribon - Roche) to warn prescribers that in rare cases the Stevens-Johnson syndrome may develop as a severe and sometimes fatal side effect. This syndrome is a type of erythema multiforme in which large blisters appear on the skin and especially on the mucous membranes. The manufacturers were also to advise doctors ‘to consider prescribing short-acting sulphonamides first because they are effective for most of the same conditions’. The three drug firms concerned accordingly sent a joint warning letter to all doctors, pointing out that the Stevens-Johnson syndrome is a serious complication with a mortality rate of about 25%. So far 116 cases of this syndrome have been reported in association with the use of long-acting sulphonamides, most of them in the United States. Almost two thirds of the patients were children.


2016 ◽  
Vol 22 (6) ◽  
pp. 723-732u ◽  
Author(s):  
Elizabeth MacLean ◽  
Laura Cisar ◽  
Kimberly Mehle ◽  
Daria Eremina ◽  
Jane M. Quigley

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2404-2404
Author(s):  
Arya Mariam Roy ◽  
Manojna Konda ◽  
Akshay Goel ◽  
Appalanaidu Sasapu

Introduction Disseminated Intravascular Coagulation (DIC) is a systemic coagulopathy which leads to widespread thrombosis and hemorrhage and ultimately results in multiorgan dysfunction. DIC usually occurs as a complication of illnesses like severe sepsis, malignancies, trauma, acute pancreatitis, burns, and obstetrical complications. The prognosis and mortality of DIC depend on the etiology, however, the mortality of DIC is known to be on the higher side. The aim of the study is to analyze if gender, race, regional differences have any association with the mortality of hospitalized patients with DIC. Method The National Inpatient Sample database from the Healthcare Cost and Utilization Project (HCUP) for the year 2016 was queried for data. We identified hospital admissions for DIC with the International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code D65. The data was analyzed with STATA 16.0 version and univariate and multivariate analysis were performed. We studied the characteristics of all such hospitalizations for the year 2016 and the factors associated with the in-hospital mortality rate (MR) of DIC. We used length of stay, cost of stay as an outcome to determine if gender, race, and location play a role in the mortality. Results A total of 8704 admissions were identified with a diagnosis of DIC during the year 2016. The mean age for admission was found to be 56.48± 0.22. The percentage of admissions in females and males did not have a notable difference (50.57% vs 49.43%). The disease specific MR for DIC was 47.7%. Admission during weekend vs weekdays did not carry a statistically significant difference in terms of MR. Females with DIC were less likely to die in the hospital when compared to males with DIC (OR= 0.906, CI 0.82 - 0.99, p= 0.031). Interestingly, African Americans (AA) with DIC admissions were found to have 24% more risk of dying when compared to Caucasians admitted with DIC (OR= 1.24, CI 1.10 - 1.39, P= 0.00), Native Americans (NA) has 67% more risk of dying when compared to Caucasians (OR= 1.67, CI 1.03 - 2.69, p= 0.035). The mortality rate of NA, AA, Caucasians with DIC was found to be 57%, 52%, 47% respectively. The MR was found to be highest in hospitals of the northeast region (52%), then hospitals in the south (47%), followed by west and mid-west (46%), p= 0.000. Patients admitted to west and mid-west were 24% less likely to die when compared to patients admitted to northeast region hospitals (OR= 0.76, p= 0.001). The average length of stay and cost of stay were also less in west and mid-west regions when compared to north east. The difference in outcomes persisted after adjusting for age, gender, race, hospital division, co-morbid conditions. Conclusion Our study demonstrated that African Americans and Native Americans with DIC have high risk of dying in the hospital. Also, there exists a difference between the mortality rate, length and cost of stay among different regions in the United States. More research is needed to elucidate the factors that might be impacting the location-based variation in mortality. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.


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