Introduction
Schizophrenia is a chronic psychotic disorder with a worldwide lifetime prevalence of 0.30% to 0.66% (McGrath et al.
2008). According to the
Diagnostic and Statistical Manual for Mental Disorders (5th ed.; DSM-5) (American Psychiatric Association
2013), at least two of the following symptoms should be present to diagnose schizophrenia: delusions, hallucinations, disorganized speech, disorganized or catatonic behavior and negative symptoms. Additionally, at least one has to be from the first three symptoms. Due to the complexity of psychiatric disorders, clinical interviews are essential to confirm diagnoses in clinical and research settings. Examples of such structured interviews are the structured clinical interview for DSM (SCID) (Spitzer et al.
1992), the World Health Organization (WHO)-Composite International Diagnostic Interview (CIDI) (Wittchen
1994)
, the Schedule for Affective Disorders and Schizophrenia (SADS) (Endicott and Spitzer
1978), and the Mini International Neuropsychiatric Interview (MINI) (Sheehan et al.
1998).
Psychiatrists and clinicians in the US and Europe developed the MINI to establish a diagnostic interview for DSM-IV psychiatric disorders (Sheehan et al.
1997; Sheehan et al.
1998). The advantages of this tool include being short, inexpensive, easy to administer, and highly sensitive and specific (Sheehan et al.
1998) to diagnostic verification. It has been translated to several languages, and its validity and reliability were examined in the Italian (Rossi et al.
2004), Japanese (Otsubo et al.
2005), Arabic (Kadri et al.
2005), Norwegian (Mordal et al.
2010) and many other countries. Specifically, the MINI has been a widely used tool in the Arab region for diagnosing postpartum depression (Hamdan and Tamim
2011), (Hamdan and Tamim
2012), alcohol abuse and dependence, (Yazbek et al.
2014) and post-traumatic stress disorder (Kazour et al.
2017). The enhanced version (MINI, version 6) for schizophrenia and psychotic disorders gives a more detailed diagnosis on the different types of psychotic disorders such as schizophrenia, schizoaffective, schizophreniform and brief psychotic disorder (Amorim et al.
1998). This corresponding module of the enhanced MINI6, Module K, (MINI6-Mod-K) was translated and linguistically validated by our team to have a gold standard diagnostic measure of psychotic disorders in our studies (Yeha et al.
2016).
Psychopathology scales have also been developed to focus on the severity of specific symptoms in people with schizophrenia, such as the Brief Psychiatric Rating Scale (BPRS) (Overall and Gorham
1988), Scale for the Assessment of Positive Symptoms (SAPS) (Andreasen
1984), Scale for the Assessment of Negative Symptoms (SANS) (Andreasen
1989), Calgary Depression Scale for Schizophrenia (CDSS) (Addington et al.
1993) and Positive and Negative Syndrome Scale (PANSS) (Kay et al.
1987). Such instruments are essential both clinically and in research, as they allow to track the changes in psychopathology symptoms in addition to assessing the efficacy of pharmacological interventions (Lindenmayer et al.
2007).
The PANSS is a widely used dimensional and typological scale that assesses the psychopathology features of schizophrenia (Kay et al.
1987). It measures the presence of positive, negative and other general symptoms in addition to their severity. It has been validated and translated into several languages such as French (Lancon et al.
1999), Chinese (Phillips et al.
1991), Spanish (Peralta Martin and Cuesta Zorita
1994) and Brazilian Portuguese (Higuchi et al.
2014) among others. The Arabic version of the PANSS was translated, culturally adapted and linguistically validated by our team (Yehya et al.
2016) to address the lack of availability of such tools in the Arabic language. It had good validity, reliability, and internal consistency and therefore proved to be a reliable measurement scale in the Arab population (Yehya et al.
2016; Yehya et al.
2017).
There are no studies that compared the diagnostic categorical scales with the dimensional measures of the severity of psychosis. Kay et al. (
1991) combined the SCID interview with the PANSS to develop a two-tier “nosological-dimensional” diagnostic evaluation of psychotic symptoms. Such valid comparisons would enhance the accuracy of the psychometric measures of the combined approaches when diagnosing and monitoring patients with psychiatric disorders. The purpose of this study was to cross-validate the Arabic MINI6-Mod-K for schizophrenia and the similar symptoms of the Arabic PANSS in Arab patients with schizophrenia. The primary objective of this study was to determine the cut-off scores on the dimensional PANSS items using the answers on categorical MINI6-Mod-K as the gold standard. The second objective is to assess which of the diagnostic features in MINI6-Mod-K are contributing to the severity of the different psychotic symptoms measured by the PANSS in the Arab people with schizophrenia.
Methods
This cross-sectional study is part of a project aiming to validate the Arabic versions of psychiatric scales used in the assessment of patients with schizophrenia in the Arab population residing in Qatar (Hammoudeh et al.
2016; Hani et al.
2016; Yehya et al.
2016; Yehya et al.
2017). This paper reports a secondary analysis of the relationship between the Arabic MINI6-Mod-K and PANSS. The repeated forward-backward translation procedure was applied to translate the MINI6-Mod-K and the PANSS from English into the Arabic language. Any inconsistencies were resolved by retaining only the translated items that perfectly matched the original MINI6-Mod-K or PANSS items after back-translating the articles into English. The details of the translation procedure were presented in the validation paper of Arabic PANSS (Yehya et al.,
2016). The Institutional Review Boards of Hamad Medical Corporation and Weill Cornell Medicine in Doha, Qatar approved this study. All participants signed an informed consent form before the administration of the scales. The recruitment of subjects took place from February 2013 to November 2014.
Setting and Subjects
The study was carried out in Doha, Qatar, a country experiencing rapid economic growth and development with an increased number of expatriates from different ethnicities and nationalities residing in the country. Qataris and Arabs are the most stable populations in the state of Qatar; and they represent 15% and 13% of the total population, respectively (Qatar Statistic Authority
2010). A total of 101 Arabic schizophrenia subjects were recruited from the Department of Psychiatry, which is the only psychiatric hospital in Doha, Qatar. It has four inpatient units accommodating 70 patients with 90–95% occupancy rate. Additionally, ten outpatient clinics receive approximately 120 patients daily, 25% of them have the diagnosis of schizophrenia.
The inclusion criteria were (1) male or female participants, (2) between 18 and 65 years of age, (3) diagnosis of schizophrenia confirmed by the Arabic MINI6-Mod-K and according to DSM-IV-TR criteria (American Psychiatric Association
2000), (4) native Arabic speakers, and (5) able to understand and sign a written consent form. The exclusion criteria were (1) current or past alcohol or drug abuse, (2) individuals who were at a high risk to harm themselves or others, and (3) presence of any other psychiatric disorder.
The sample consisted of a total of 101 patients with schizophrenia who completed both MINI6 and PANSS by different raters. The study sample had a mean age of 35.03 (SD = 9.99) years. The majority of participants were males (66.3%), Qataris (60.4%), single (61.4%), unemployed (61.4%) and with secondary school level of education (38.6%) (Table
1).
Table 1Sociodemographic characteristics of schizophrenia patients
Mean age (SD), years | 35.03 (9.99) |
Gender, n (%) | |
Male | 67 (66.3) |
Female | 34 (33.47) |
Country Born, n (%) | |
Qatar | 61 (60.4) |
Non-Qatar | 40 (39.6) |
Marital status, n (%) | |
Married | 27 (26.7) |
Single | 62 (61.4) |
Divorced | 10 (9.9) |
Widowed | 1(1.0) |
Education level, n (%) | |
Never attended school | 2 (2.0) |
Elementary or intermediate school | 36 (35.7) |
Secondary or high school | 39 (38.6) |
Vocational degree | 2 (2.0) |
College degree or postgraduate university degree | 22 (21.8) |
Employment, n (%) | |
Employed | 29 (28.7) |
Unemployed/Other | 61 (61.4) |
Student | 10 (9.9) |
Research Design
We implemented all study procedures over two sessions. In the first one, a rater collected the sociodemographic, medical and psychiatric history, in addition to conducting the Arabic MINI6-Mod-K to confirm schizophrenia diagnosis. Then, within a period of maximum one week, a second independent rater, blinded for the results and information obtained by the first rater, administered the Arabic version of PANSS. The research team received formal training on how to conduct and rate both scales. For PANSS, the raters completed practice trials and obtained certification through ProPhase LLC, Rater Training Group, New York City, New York. For MINI6, the evaluators received formal training overseen by Dr. Sheehan and psychiatrists from the research team.
Procedures and Measurements
MINI6-Mod-K includes two sections, part 1 examines the presence of psychotic symptoms, rules out that these symptoms are due to a medical condition or substance abuse, assesses social and occupational dysfunctions and disability due to psychosis, and finally assesses the duration of these symptoms. Part 2 rules out the presence of a clinical mood disorder occurring concurrently with the psychotic episodes (Amorim et al.
1998). For the PANSS, the information is derived from a semi-structured Clinical Interview (SCI-PANSS) and reports of family members and treatment team (Kay
1991). Following the interview, 30 items (7 for positive symptoms, 7 for negative symptoms, and 16 for general psychopathology) are rated using a 7-point rating system (1-absent, 2-minimal, 3-mild, 4-moderate, 5-moderate-severe, 6-severe, and 7-extreme) (Kay et al.
1987). Ratings of the scale are based on information and symptoms pertaining to the previous week.
For this study, we utilized MINI6-Mod-K questions that are directly related to the main diagnostic symptoms of schizophrenia and grouped them into the following categories: delusions, hallucinations, disorganized speech, disorganized or catatonic behavior and negative symptoms. The questions are of a dichotomous type, with the possibility of either answering “yes,” confirming the presence of the symptoms or “no” negating it. Specifically, we chose to compare these symptoms to their corresponding items in PANSS, by matching them according to their description in the rating criteria. Corresponding items between MINI6-Mod-K and PANSS are detailed in Table
2.
Table 2Corresponding items of MINI6 - Module K and the PANSS
Delusions | K1 - Persecutory delusions | P1 - Delusions |
| K2 - Thought broadcasting | P6 - Suspiciousness and Persecution |
| K3 - Thought insertion | G9 - Unusual thought content |
| K4 - Ideas/delusions of reference | |
| K5 - Odd beliefs/delusions | |
Hallucinations | K6 - Auditory hallucinations | P3 - Hallucinatory behavior |
| K7 - Visual hallucinations | G9 - Unusual thought content |
Disorganized speech | K8 - Disorganized speech | P2 - Conceptual disorganization |
Disorganized or catatonic behavior | K9 - Disorganized or catatonic behavior | P4 - Excitement |
| G5 - Mannerisms and posturing |
| G7 - Motor Retardation |
Negative symptoms | K10 - Negative symptoms | N1 - Blunted affect |
| N2 - Emotional withdrawal |
| N3 - Poor rapport |
| N4 - Passive/apathetic social withdrawal |
| N5 - Difficulty in abstract thinking |
| N6 - Lack of spontaneity and flow of conversation |
| N7 - Stereotyped thinking |
| G13 - Disturbance of volition |
Statistical Analysis
All analyses were performed using IBM Statistical Package for Social Sciences (SPSS) for Mac version 24 (IBM Corp, Armonk, NY, 2015). The level of significance was set at 5%, and Bonferroni correction was used for multiple comparisons. The descriptives of the sample are summarized as means and standard deviation (SD) for the continuous measures like age, and as frequency and percentage for the categorical ones like gender. Antipsychotic dose equivalences were calculated based on chlorpromazine 100 mg (Andreasen et al.
2010). The ordinal PANSS scores were reported through the median and interquartile range (IQR). To determine the cut-off scores on the PANSS items, we first looked at the significant differences in PANSS items scores between those who answered Yes vs. No on the dichotomous MINI6-Mod-K answers, using Wilcoxon-Mann-Whitney test. Then these comparisons were followed by Receiver Operating Characteristics (ROC) analyses, using the MINI6-Mod-K answers as the gold standard, to get the cut-off scores with the optimal sensitivity and specificity measures.
Additionally, to determine the frequency of symptomatology (measured by PANSS items groups) we transformed the ratings on PANSS items into dichotomous values and compared them to the corresponding positive diagnostic questions in MINI6-Mod-K. We started with a score ≥ 2 as “Yes” and increased the cut-offs by one each time up to ≥6 (Table
7). For each of MINI6-Mod-K questions and PANSS items, if at least one was positive, then the diagnostic category was considered present. Finally, linear regression analyses were used to assess which of the features in the MINI6-Mod-K are contributing to the various measures on PANSS total, positive, negative and general psychopathology scores. The latter scores were normally distributed. Therefore, four different linear regressions were carried out with the PANSS total, and each subscale score, as separate dependent variables; and the corresponding MINI6-Mod-K symptoms (delusions, hallucinations, disorganized speech, disorganized or catatonic behavior and negative symptoms) as independent variables (Table
2).
Discussion
This study aimed to determine the cut-off scores on the dimensional PANSS items that differentiate the categorical MINI-Mod-K diagnostic features of schizophrenia and to assess the relationships between the diagnostic categorical questions of MINI6-Mod-K for schizophrenia with the corresponding dimensional measures from PANSS items. In the following sections we will summarize each aspect of our findings followed by a discussion of its significance:
MINI6-Mod K Responses and Ratings on PANSS Items
Our results showed that when comparing each diagnostic question in MINI6-Mod-K with its corresponding item in PANSS, not all the PANSS items can differentiate well the various categorical answers in MINI6-Mod-K (Tables
4 and
5). The patients who had positive responses on K3-K5 (Table
4) received similar ratings on the corresponding PANSS items but some of the common items like P1-Delusion were significantly higher in those who were positive on K1-Persecutory Delusion; and G9-Unusual thought content differentiated well those with positive K2-Thought broadcasting. It seems that there are no specific Arabic PANSS items that capture well the specifics of MINI items K3-K5. On the other hand, there are no specific questions in MINI6-Mod-K that assess all the different features of negative symptoms in the PANSS items (N1-N7 and G13) and thus only two items (N1 and N6) showed significantly higher ratings in those who were positive on the only MINI6 K10 question (Table
5).
Cut-off Scores of PANSS Items
The majority of the cut-off scores that showed significant differentiation (P1, P2, P3, P4, G9, N1, and N6) ranged from 2.5–3.5 with adequate sensitivity and specificity (Table
6). MINI6-Mod-K and PANSS have different purposes and have been designed accordingly. The former was validated against the SCID and CIDI with the aim of deriving a categorical dimension (Sheehan et al.
1998; Sheehan et al.
1997), whereas the latter was based on dimensional scaling using the BPRS to derive functional dimensions of schizophrenia (Kay et al.
1987). However, since both MINI6-Mod-K and the PANSS scales are centered on schizophrenia, they are therefore assessing the same core symptoms. Nevertheless, there are no studies that cross-validated these two levels of measures (categorical and dimensional) in the scales used (English or other languages) to diagnose schizophrenia and assess the severity of psychosis. In fact, Kay et al. (
1991) introduced this approach by developing the SCID-PANSS (SCID is the structured clinical interview for DSM and not the semi-structured clinical interview for PANSS, SCI-PANSS), with the aim of combining general diagnostic criteria with dimensional ratings (from SCID) to get a categorical psychotic diagnosis with specific rating criteria (from PANSS) to assess severity of symptoms (Kay et al.
1991). Furthermore, in this SCID-PANSS a score of 1-absent and 2-subthreshold, corresponded to a score of 1-absent and 2-minimal in the PANSS. Accordingly, a score of 3-threshold in the SCID-PANSS compared to any score from 3-mild to 7-extreme in the PANSS (Kay et al.
1991). Our results confirmed this distinction also where all the diagnostic features of schizophrenia in Arabic MINI6-Mod-K were captured at the cutoff scores greater than 2.5 on the Arabic PANSS items (Table
6).
Few studies assessed the relevance of PANSS rating scores and its significance clinically. In some clinical trials, a minimum score in PANSS items is an eligibility criterion, where a minimum score of 4-moderate is required. This cut-off score is chosen as an indication that the patient is experiencing florid psychotic symptoms (Leucht et al.
2005). Furthermore, when assessing remission in schizophrenia, patients were considered in remission according to PANSS items if the score is less or equal to 3-mild (Andreasen et al.
2005; Madhivanan et al.
2017; van Os et al.
2006). Therefore, proposing that a score of 4 and above suggests that the symptom is still active and clinically significant. Thus, our cross-validation results on the Arabic PANSS and MINI6-Mod-K agree with the other international studies on schizophrenia and can be used in clinical setting and research trials for precise diagnosis and valid assessment of severity of symptoms. The patients in our study were relatively stable and have been maintained on antipsychotics for several years. However, a study by Anderson et al. (
2017) analyzing data on PANSS from 11 clinical trials (applying the post-treatment bifactor item response theory model) reported that there was disparity between the remission rates as per DSM criteria and the symptom relief measures when the PANSS score were < 2. About two thirds of the patients achieving remission had several items from PANSS with no relief of symptoms as the scores were above 3. Thus, the authors concluded that the remission criteria should not be equated with PANSS symptoms relief measures and that the two methods might be identifying two separate subsets of patients with different measures on the various PANSS items (Anderson et al.
2017).
Frequency of the MINI6-Mod-K Diagnostic Features and Corresponding PANSS Clusters
It is worth noting that the frequency of positive findings on the Delusions (95%) and Hallucinations (83.2%) module K questions were high (Table
7) while those for Disorganized speech/behavior, Catatonia, and Negative symptoms (14.9–28.7%) were low. When clustering PANSS items into the five main schizophrenia symptom categories, the Arabic PANSS showed similar frequencies with the Arabic-MINI at a PANSS score ≥ 2 and ≥ 3 for delusions and hallucinations respectively thus suggesting that at these cut-off scores the PANSS items capture the precise symptom categories as the MINI6-Mod-K. However, for the less frequent items as measured by MINI6-Mod-K (disorganized speech, disorganized and catatonic behavior and negative symptoms), the PANSS clusters (starting from scores 2 and 3) for these diagnostic features captured more related positive features than the dichotomous MINI6-Mod-K items. Furthermore, it should be noted that disorganized behavior and negative symptoms are assessed differently in MINI6-Mod-K and PANSS. Only one question is contributing to each of these symptoms in MINI6-Mod-K (K9 and K10), whereas there are three PANSS items (P4, G5, and G7) for the K9 and eight items (N1-N7 and G13) to evaluate the presence of negative symptoms in PANSS. This higher number of PANSS items to assess a diagnostic feature would give a better comprehensive assessment than one question or one observation.
Predictors of PANSS Total and Subscales Scores
Furthermore, when examining if any schizophrenia MINI6-Mod-K diagnostic features predict PANSS severity, we found that disorganized or catatonic behavior in schizophrenia predicted more severe symptomatology with an increase in PANSS positive, general psychopathology, and total scores (Table
8). This suggests that the presence of disorganized or catatonic symptoms is a marker of higher symptom severity. A study assessing the relationship between symptom dimensions and functioning also found that disorganized symptoms had the highest effect on functioning and prevented patients from achieving remission (Ortiz et al.
2015). Furthermore, in a study assessing treatment response of disorganized schizophrenia inpatients, it was found that these patients were more treatment-resistant in comparison with paranoid schizophrenia inpatients and had more severe PANSS scores (Ortiz et al.
2013). Thus, the Arabic MINI-Mod-K and PANSS can capture this important feature in the Arab schizophrenia patients and thus be a reliable measure to diagnose and properly assess this group of patients. We should add that the R-squared are small and thus their contributions to the variance in the PANSS scores is minimal but significant. Thus, there are probably other features, not captured by MINI6-Mod-K questions that are contributing to the psychopathology as measured by PANSS scores.
Limitations
Our study has several strengths like the validation of the Arabic MINI6-Mod-K and PANSS in the same sample, the research design and the proper training of the raters. However, few limitations can affect the significance of our results. First, the sample size is not large enough to capture a better representation of the different Arabic cultures and more heterogeneity of the different schizophrenia symptoms. Second, there are more males in this sample, and thus there could be a gender effect that biases the results. Third, tools were translated to formal Arabic which is the formal language of all Arab countries but is not the usual dialect used by different Arabic cultures, and thus the level of education (and knowledge of formal Arabic) might affect the communication styles of the Arab patients.
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