Posttraumatic stress disorder: a serious post-earthquake complication

Farooqui, Mudassir; Quadri, Syed A.; Suriya, Sajid; Khan, Muhammad Adnan; Ovais, Muhammad; Sohail, Zohaib; Shoaib, Samra; Tohid, Hassaan; Hassan, Muhammad

doi:10.1590/2237-6089-2016-0029

Cited by 86 publications

(65 citation statements)

References 65 publications

(81 reference statements)

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“…Trauma survivors are at high risk of developing mental disorders, including a series of psychiatric symptoms (e.g., re-experiencing [1], depression [1,2], and anxiety [1,3,4]) as well as cognitive decline (e.g., memory impairment [5,6]). Nevertheless, these symptoms are difficult to measure, especially cognitive decline, which may lead to loss of well-being in later life [7].…”

Section: Introductionmentioning

confidence: 99%

Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning

Zhu

Ren

et al. 2020

BMC Psychiatry

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Background: Traumatized earthquake survivors may develop poor memory function. Resting-state functional magnetic resonance imaging (rs-fMRI) and machine learning techniques may one day aid the clinical assessment of individual psychiatric patients. This study aims to use machine learning with Rs-fMRI from the perspectives of neurophysiology and neuroimaging to explore the association between it and the individual memory function of trauma survivors. Methods: Rs-fMRI data was acquired for eighty-nine survivors (male (33%), average age (SD):45.18(6.31) years) of Wenchuan earthquakes in 2008 each of whom was screened by experienced psychiatrists based on the clinicianadministered post-traumatic stress disorder (PTSD) scale (CAPS), and their memory function scores were determined by the Wechsler Memory Scale-IV (WMS-IV). We explored which memory function scores were significantly associated with CAPS scores. Using simple multiple kernel learning (MKL), Rs-fMRI was used to predict the memory function scores that were associated with CAPS scores. A support vector machine (SVM) was also used to make classifications in trauma survivors with or without PTSD. Results: Spatial addition (SA), which is defined by spatial working memory function, was negatively correlated with the total CAPS score (r = − 0.22, P = 0.04). The use of simple MKL allowed quantitative association of SA scores with statistically significant accuracy (correlation = 0.28, P = 0.03; mean squared error = 8.36; P = 0.04). The left middle frontal gyrus and the left precuneus contributed the largest proportion to the simple MKL association frame. The SVM could not make a quantitative classification of diagnosis with statistically significant accuracy. Limitations: The use of the cross-sectional study design after exposure to an earthquake and the leave-one-out cross-validation (LOOCV) increases the risk of overfitting. Conclusion: Spontaneous brain activity of the left middle frontal gyrus and the left precuneus acquired by rs-fMRI may be a brain mechanism of visual working memory that is related to PTSD symptoms. Machine learning may be a useful tool in the identification of brain mechanisms of memory impairment in trauma survivors.

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Section: Introductionmentioning

confidence: 99%

Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning

Zhu

Ren

et al. 2020

BMC Psychiatry

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“…31 Earthquakes have been shown to cause stress disorders, particularly among women. 32 The pregnant women in our study were also likely to have experienced stress at the time of the earthquake. Stress and anxiety result in poor let down of breast milk, which consequently leads to a low milk supply.…”

Section: Discussionmentioning

confidence: 87%

Varzaghan Earthquake Affected Mothers’ and Their Newborns’ Health More Severely, in Socioeconomically Vulnerable Area

Esfandyari

Vaghef-Mehrabany

Ebrahimi-Mameghani

2018

Disaster med. public health prep.

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ObjectiveWe aimed to compare the pregnancy status of the pregnant women and birth status of their newborns, socioeconomic status, and access to health services, between high- and low-damage areas in Heris, affected by the Varzaghan Earthquake, 2012.MethodsThe study was conducted on pregnant women at any trimester of pregnancy (with complete medical profiles in local health centers) in August 2012 (time of the earthquake) who lived in Heris and delivered up to March 2013. Data were obtained on pregnancy- and infant-related variables, housing, socioeconomic status, and access to health services, including food supplies, before and after the earthquake.ResultsFamily income and mothers’ education were lower in highly damaged areas. Among these women, underweight at first trimester of pregnancy was higher, and weight gain during the last trimester was lower, compared with low-damage regions. Preterm delivery was higher in low-damage areas. Birth indices of the infants were not significantly different between the 2 areas; however, in highly damaged areas, moderate malnutrition was more prevalent among children under 1 year (weight-for-age) and under 2 years (height-for-age).ConclusionsSocioeconomic status of mothers was lower in highly damaged areas and might have played a role in their own and newborns’ health status. (Disaster Med Public Health Preparedness. 2019;13: 511-518)

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“…Aitken et al 18 found a significant increase in emergency consultations after Tropical Cyclone Yasi struck Australia on February 2011. Other studies have found significant people affected with RSSAD, 19,20 but most of this information came from interviews not performed in a psychiatric emergency department.…”

Section: Discussionmentioning

confidence: 99%

Reaction to Severe Stress and Adjustment Disorders After the September 2017 Earthquakes in a Psychiatric Emergency Department in Mexico City

Fresán

Robles-García

Becerra‐Palars

et al. 2019

Disaster med. public health prep.

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ObjectiveEarthquakes may lead to a reaction to severe stress and adjustment disorders (RSSAD). On September 7, 19, and 23, 2017, Mexico was struck by many severe earthquakes. The aim of this study was to examine whether there was an increase in the number of consultations and RSSAD in a psychiatric emergency department in Mexico City after these earthquakes.MethodsWe studied retrospectively the diagnosis and triage assessment from a Mexican psychiatric emergency department database from September 1 to November 30, 2017, and analyzed RSSAD and the number of consultations after the earthquakes.ResultsA total of 1,811 psychiatric emergency consultations were registered from the period of study. A total of 141 consultations represented RSSAD. There was a significant increase of RSSAD after the September 23, 2017, earthquake. The triage assessment revealed that the urgency of the consultations was higher immediately after the earthquakes.ConclusionNatural disasters, such as earthquakes, may trigger diverse RSSAD leading to increased emergency consultations, especially when those disasters are repetitive. Mental health professionals should be adequately trained and sensitized for possible acute disaster victims. (Disaster Med Public Health Preparedness. 2019;13:686–690).

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Posttraumatic stress disorder: a serious post-earthquake complication

Cited by 86 publications

References 65 publications

Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning

Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning

Varzaghan Earthquake Affected Mothers’ and Their Newborns’ Health More Severely, in Socioeconomically Vulnerable Area

Reaction to Severe Stress and Adjustment Disorders After the September 2017 Earthquakes in a Psychiatric Emergency Department in Mexico City

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